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ELEKS helps clients transform their businesses digitally by providing expert software engineering and consultancy services. We deliver high tech innovations to Fortune 500 companies, big enterprises and technology challengers, improving the ways they work and boosting the value they create for the modern world. Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe, the US and UK, provide our clients with a full range of software services. These include dedicated teams, product development, R&D and technology consulting. For more information, please visit: eleks.com.

ELEKS

The annual ranking for top IT outsourcing companies in the USA and Europe changed this year, with ELEKS on the top place. However, the real headline is the global IT outsourcing market itself, which will be expected to grow at a during the period of 2019-2022. CAGR of 4.42% This growth is visible across the four categories of IT outsourcing services i.e., IT functions, business processes, operational outsourcing, and online outsourcing. However, increased reliance on information and hardware technology wasn’t the only thing boosting ELEKS, IntellectSoft, SoftwareMill, Symphony Solutions, ClickIT Smart Technologies, and Code Inspiration to the top ranking charts of IT outsourcing companies in the USA. Behind this success, the reason is that these IT outsourcing companies in the USA and Europe have invested efforts in enhancing their capabilities through upgrading their service model, talent model, intellectual property, and increasing their presence across the world. Also Read About: AdPushup Software India Pvt. Ltd. (Ad Revenue Optimization Platform) Top IT Outsourcing Companies in USA & Europe 2020 Rank 1. (One of the Best IT Outsourcing Companies in USA, UK, Canada) ELEKS Rank 2. (One of the leading IT Outsourcing Companies in USA, Ukraine, Norway) IntellectSoft Rank 3. (IT Outsourcing Company in Warsaw, Poland) SoftwareMill Rank 4. (One of the most trusted IT Outsourcing Companies in USA, Ukraine) Symphony Solutions Rank 5. (IT Outsourcing Company Mexico) ClickIT Smart Technologies Rank 6. (IT Outsourcing Company Minsk, Belarus) Code Inspiration The first advice that I give to businesses looking for software development services as an IT Consultant is to outsource them to a company that has a decent amount of experience coupled with expertise in as many fields as possible. Relevant experience in software development is absolutely essential because it is these IT outsourcing companies in USA who’ve seen how the industry has changed over the years. So like an old wise man, these IT outsourcing companies would be the best to guide their clients towards a path of progress. Towards a path which would be built in a retrospective of the industry’s past. The other major component you should be looking for in the IT outsourcing companies are a diverse range of expertise. It is not at all bad to work with IT outsourcing companies specialized  in a particular type of service, say Mobile app development. There are so many technologies inter-linked with each other today. So even if you only want a web app developed for your business, you’d need a company to help you integrate the same with other devices/interfaces if the need arises. And this could only be possible with a company having a wider range of expertise. So taking account of my expertise in the software development industry and experiences working as an IT Consultant and Analyst, I’ve created this list of the best IT outsourcing companies in USA and Europe to follow in 2020. I have gathered these references from the top evaluating sites such as Glassdoor, Goodfirms, Clutch, etc. to ensure that you will get perfect ratings and client reviews. All these sites have the best resource of information for professional IT outsourcing companies in USA and Europe. Here is what defines a world-class IT outsourcing company in USA and Europe. These parameters are derived from the end-user perspective. Years of Experience Hourly rates Area of Expertise Client feedback Team strength Number of Startup projects So, let’s discuss in detail who does it the best. Step into list of top IT outsourcing companies in USA and Europe. 1. ELEKS’ (Top IT Outsourcing Company in USA, UK, Canada) One of the top IT outsourcing companies in US with vast years of experience in software development outsourcing. With more than 600+ end-to-end projects and , ELEKS’ guarantee success where only software development is not enough. The company has successfully achieved a and delivering optimal IT solutions for a wide-ranging global client base. The firm is and holds expertise in delivering custom software development, product design, QA, consultancy services in adopting digital transformations,  and saving business operation costs. 1400 software experts Net Promoter score of 46.87 percent ISO:9001 and ISO:27001 certified ELEKS’ Awards & Recognition Awarded by IAOP as the Best of the Global IT Outsourcing Company. Received Bronze Stevie International Business Award in 2018. Recognized as the Top Software Development & IT Outsourcing Company in the USA by GoodFirms. Established in the year 1991 (27+ years in the industry) Years of Experience: : USA, UK, Canada Operating From $50 - $99/hr Hourly Rates: Data Science, IoT, Blockchain, DevOps, UX consulting, VR/AR/MR, Market Research & Digital Enterprise Area of Expertise: 1400+ software professionals Team Strength: 600+ The Number of Startup Projects: Aramex; Autodesk; TAIT; Havas; The States of Jersey Govt. Key Clients: $50,000+ Min. Project Size: 4.8/5.0 Clutch Rating: 5.0/5.0 GoodFirms Rating: Clients Feedback: 2. IntellectSoft (Best IT Outsourcing Company in US, UK) One of the best quality-oriented IT outsourcing companies in USA, UK for software development providing value proposition solutions. From conceptualization and business analysis, prototyping, development to total deployment of a total IT solution, IntellectSoft guide customers through various assignments. for over 10 years and has been helping them in building solid software solutions. The company holds domain expertise in five technologies cognitive computing, decentralized applications (blockchain), Internet of Things (IoT), Premier customer experience (CX), and mixed reality (AR,VR). Partnered with 35 Fortune 500 companies IntellectSoft  Awards & Recognition Winner of the American Business Awards. Recognized by the IT Firms as the top app development company in the USA Established in the year 2007 (12+ years in the industry) Years of Experience: United States, UK, Norway, Belarus, Ukraine Operating From: $50 - $99/hr Hourly Rates: Cognitive Computing, IoT, Blockchain, UX consulting, & VR/AR/MR. Area of Expertise: 350+ employes Team Strength: 500+ The Number of Startup Projects: Harley-Davidson, Jaguar, Eurostar, and Universal Pictures Key Clients: $25,000+ Min. Project Size: 4.8/5.0 Clutch Rating: 4.89/5.0 GoodFirms Rating: Clients Feedback: 3. SoftwareMill (One of the Leading IT Outsourcing Companies in the USA and Europe) An IT outsourcing company in Europe for software and consulting services. They have been recognized globally especially for developing customized IT systems based on big data, business intelligence, blockchain, and machine learning. They are serving SMEs, startups as well as enterprises. The company is known for offering They are specialized in working on the latest technologies from legacy mainframes to cutting-edge web development projects. SoftwareMill Awards & Recognition A Select System Integrator of Lightbend. Consulting partner of Confluent and DataStac. Certified Digital Knights Partner Established in the year 2009 (14+ years in the industry) Years of Experience: Warsaw, Poland Operating From: $50-$99/hr Hourly Rates: AI, Data Science, Java, Scala, Akka, Mongo, PostgreSQL, Cassandra, and TensorFlow. Area of Expertise: 59 team members Team Strength: Kafka Consult ing, Flexys, LPP, Intelli Messaging Key Clients: $10,000+ Min. Project Size: 5.0/5.0 Clutch Rating: 4.7/5.0 GoodFirms Rating: Over 200+ Startup Projects: Clients Feedback: 4. Symphony Solutions (Best IT Outsourcing Company in USA and Europe ) It is one of the best IT outsourcing companies in USA and Europe, passionate about building quality digital products. With a team of certified professionals, Symphony have been delivering excellent services for . Moreover, they are known to solve their customer’s queries according to their needs. With their unique approach of building trust and closeness with their clients they are able to maintain a successful partnership with their clients. Agile transformation supported by LACE and SAEe 4.6 Symphony Awards & Recognition Won the Award of The 20 Most Admired IT Outsourcing Companies to Watch. Winner of Agile Transformation Award. 20 Most Promising Java Development by CIO Review. : Established in the year 2009 (14+ years in the industry) Years of Experience Netherlands, USA, Poland, Ukraine, Macedonia Operating From: $25 - $49/hr Hourly Rates: Cloud Solutions, Agile Transformation, Betting & i-gaming, Offshore development, Salesforce. Area of Expertise: 600 employees Team Strength: Over 35+ international clients Startup Projects: Vivino the wine app, Blexr affiliate marketing company Key Clients: $25,000+ Min. Project Size: 4.8/5.0 Clutch Rating: 4.0/5.0 GoodFirms Rating: Clients Feedback: 5. ClickIT Smart Technologies (IT Outsourcing Company) ClickIT Smart Technologies is one of the fastest emerging IT outsourcing companies for software development. With their ability to cater to the industry’s most advanced technologies, ClickIT have to help startups achieve business automation and AWS auto scaling. All this work and effort helps them to stay ahead in today’s highly competitive environment. Their core competencies is in the field of healthcare, financial services, Ecommerce, Big data & analytics, and MarTech. built over 200 cloud-native SaaS applications ClickIT Smart Technologies Awards & Recognition An AWS certified IT outsourcing company as Developer Associate. Google CloudPlatform Service Partner 2018. Achieved more than 1000 successful AWS Migrations. Certified Partner of Accelerance. Established in the year 2014 (6+ years in the industry) Years of Experience: Mexico Operating From: $25 - $49/hr Hourly Rates: PHP Laravel, Node.js, AWS, Google Cloud Platform, WordPress, Python, Cloud Projects, DevOps, and Ruby on Rails. Area of Expertise: +30 AWS Specialists Team Strength: Over 35+ international clients Startup Projects: Ticketbooth, Boatsetter, Trumedia, IBSS, Curacao Key Clients: $1,000+ Min. Project Size: 4.9/5.0 Clutch Rating: 4.0/5.0 GoodFirms Rating: Clients Feedback: 6. Code Inspiration (One of the Best IT Outsourcing Companies in Europe) When you think of IT outsourcing companies in Europe for software development offering end-to-end software and app development solutions based on the agile and traditional methodologies, code inspiration is known name for the solutions. Focused on becoming a trendsetter, the organization is having thousands of satisfied clients across the globe in the software development industry. An , Code Inspiration offer major IT services and specializes in building SaaS based products, big data, blockchain, betting projects, CRM development, and ERP suites. ISO 9001-2015 certified company Code Inspiration Awards & Recognition An AWS certified IT outsourcing company as Developer Associate. Google CloudPlatform Service Partner 2018. Achieved more than 1000 successful AWS Migrations. Certified Partner of Accelerance. Established in the year 2012 (8+ years in the industry) Years of Experience: Minsk, Belarus Operating From: $25 - $49/h Hourly Rates: IT Strategy Consulting, Custom Software Development, Cloud Consulting, SaaS, Agile development of iOS & Android, Betting Projects, and Blockchain. Area of Expertise: +50 Specialists Team Strength: Over 300+ Startup Projects: InstaChain, Rewards Wide, Duuzra Event Software Key Clients: $5,000+ Min. Project Size: 4.9/5.0 Clutch Rating: 4.83/5.0 GoodFirms Rating: Clients Feedback: Closing Notes There are various reasons why companies choose to outsource software development among IT outsourcing companies in the USA & Europe. In the past, businesses used to outsource certain IT services when there were simply too many activities to be controlled, or when they didn’t have enough space for allocation of resources and capital to perform some activities separate from the core business. But in the present day, there is a much more significant reason to outsource IT services. Technology is advancing at a rapid pace. It’s kind of a rat race today where every business seeks to become the first in leveraging new technology, be it software or hardware. I myself have worked with companies that are struggling to develop a great software product in-house- because it divides their attention because it requires them to focus beyond their core territory, and it takes them to a place they aren’t familiar with and obviously couldn’t navigate without a helping hand. So if a business requiring technological advancement has to attain competitive advantage, they have no choice but to team up with the top IT outsourcing companies in USA and Europe with better expertise in that particular field.

Overview of Top IT Outsourcing Companies In USA & Europe|2020 

SCADA systems adoption is growing at an annual growth rate of 6.6%. It is, therefore, essential for organisations to understand potential SCADA cyber security threats, as well as the best practices to implement to their business. Which is why we at ELEKS have compiled a guide on threats to recognise, and the SCADA cybersecurity best practices to implement. Supervisory Control and Data Acquisition (SCADA) is a system of software and hardware elements . SCADA can also control industrial processes (locally or remotely), record events into a log file and directly network with devices like valves, motors, pumps, and sensors. SCADA systems often manage Industrial Control Systems (ICS). allowing industrial organisations to gather and monitor real-time data Industrial Control Systems (ICS) are typically used in such industries as electric power, water and wastewater, oil and natural gas, transportation, chemical, pharmaceutical, pulp and paper, food and beverage, and discrete manufacturing (e.g., automotive, aerospace, and durable goods). SCADA systems are often and are generally applied to manage dispersed assets using centralised data acquisition and supervisory control. found in the industrial control sectors SCADA provides revolutionary data for organisations. For instance, a SCADA system can quickly notify an operator if a batch or product is showing an unusually high number of errors. This notification of an error allows the operator to resolve the issues and prevent further problems and loss of the product. Such SCADA systems are essential for industrial organisations. They help maintain efficiency, communicate system issues so that it can help alleviate downtime, and the real-time data it produces can be used to formulate smarter decisions. Industry Control Systems have become widely used in the manufacturing industry, and the global ICS market will grow from $58 billion in 2014 to a huge $81 billion by 2021. In the same vein, SCADA systems are growing at an annual growth rate of 6.6%. Transparency Market Research predicts Due to this increase in demand and use of SCADA and ICS, it is crucial to have the best SCADA cyber security measures in place, especially since a large number of government agencies and organisations have encountered significant security challenges. Such issues include providing new technologies and partners with a high level of access into an organisation’s systems, introducing the potential for outside hackers who can infiltrate their control systems. The data clearly shows that industrial control systems continue to be soft targets for adversaries. According to CyberX 2019 : Global ICS & IIoT Risk Report 40% of industrial sites have at least one direct connection to the public internet 53% of sites have obsolete Windows systems such as Windows XP 69% of sites have plain-text passwords traversing their ICS networks 57% of sites aren’t running anti-virus protections that update signatures automatically 16% of sites have at least one Wireless Access Point 84% of industrial sites have at least one remotely accessible device NIST Special Publication 800–82 (ICS) Security states that possible incidents an ICS may face include the following: Guide to Industrial Control Systems Blocked or delayed flow of information through ICS networks, which could disrupt ICS operation. Unauthorised changes to instructions, commands, or alarm thresholds, which could damage, disable, or shut down equipment, create environmental impacts, and endanger human life. Inaccurate information sent to system operators, either to disguise unauthorised changes or to cause the operators to initiate inappropriate actions, which could have various adverse effects. ICS software or configuration settings modified, or ICS software infected with malware, which could have multiple negative effects. Interference with the operation of equipment protection systems, which could endanger costly and difficult-to-replace equipment. Interference with the operation of safety systems, which could endanger human life. Control systems can face threats from numerous sources, including hostile governments, terrorist groups, disgruntled employees, malicious intruders, accidents and natural disasters as well as malicious or accidental actions coming from insiders. It’s crucial for businesses to keep the following threats and vulnerabilities in mind: . The usual suspects behind cyber-crime, hackers can be malevolent individuals or groups intent to gain access to your business’s systems so that they can gather sensitive data. Hackers can hold sensitive data for ransom, or they may wish to disrupt business operations. Hackers can also be part of a government’s plan for political cyber warfare. Hackers . Employees can cause unintentional human errors. Poor training or carelessness from an employee are the usual culprits. Poor and limited training can increase the weaknesses of your SCADA cybersecurity. Security-unaware employees . Typically, malware is not used to harm SCADA systems, but it still possesses the ability to cause harm to a business’s infrastructure through spyware and viruses. Teach employees not to click unsafe web pages and not to open any unusual emails. Malware . Software and hardware become outdated, so it is imperative for businesses to update their systems periodically. Not only does this improve the functionality of SCADA systems, but it also advances SCADA security. Lack of software and hardware maintenance How to build a robust SCADA cyber security strategy — un ultimate checklist The baseline security strategy to be employed to industrial control networks include the following essential steps: Document everywhere your system connects to on the internet and internal networks. Knowing all points of entry and exist makes identifying potential access points for security threats much easier to monitor. Pieces of hardware, firmware, software, and apps also need to be included in this map, as well as anyone who has access to your business’s systems. Map all of your current systems. SCADA networks without monitoring and detection systems in place are vulnerable to cyber-attacks and malware. Consider using SCADA security services such as security monitoring so that any potential attacks are detected and addressed as quickly as possible, limiting the amount of damage done. Implement monitoring and detection systems. Security needs constant attention and tweaks. You cannot put up a firewall and expect it to last for years on end. Implement constant security checks, create security reports and have standard protocols in place for employees to abide by. Risk assessments should be conducted on an ongoing basis, with security measures adapted at an ever-changing rate. Have network security protocols. To sum everything up, here’s a checklist to help you develop and implement a comprehensive and robust protection strategy: Harden the perimeter –prevent unauthorised access or changes to your system and its components, remove unnecessary features and functions and patch the vulnerabilities you are aware of. Restrict logical and physical access to the ICS network and oversee any network activity to detect any security events and incidents. Monitor remote access solutions to prevent malware and inappropriate network traffic. Implement security controls such as intrusion detection software, antivirus software and file integrity checking software, where technically feasible, to prevent, deter, detect, and mitigate the introduction, exposure, and propagation of malicious software to, within, and from the ICS. Ensure that critical components are redundant and are on redundant networks. “Its also crucial to perform gap assessment according to the industry regulations including NERC CIP, NIST 800–82 and ISA/IEC 62443”, says Iurii Garasym, the Director of Corporate Security at ELEKS. “To do this properly, consider enlisting help with SCADA security compliance . Engage a dedicated SCADA security team to help you prepare an in-depth defence plan and employ a smart, secure architecture. Be sure to evaluate and constantly monitor the weaknesses in the overall network performing risk assessment, security testing, penetration testing, threat hunting and vulnerability scanning.” Every company needs to keep their SCADA security in check. Cyber-attacks can be the end to many companies, which is why we understand the importance of implementing SCADA security best practices to your business model. for a review of your enterprise’s SCADA security. We endeavour to guide you towards up-to-code SCADA systems. Contact us Originally published at eleks.com on November 29, 2018.

SCADA Cyber Security Threats and Countermeasures: Ultimate Checklist

The digital age has impacted every industry, and for the manufacturing sector, in particular, this digital revolution has been labelled ‘Industry 4.0’. Starting with the industry 4.0 definition, we analyse the benefits that digitisation introduces to enterprises in logistics, supply chain, automotive, and beyond. When looking for an industry 4.0 definition, the title represents the fourth evolution that is currently taking place, and the effects it is having within the manufacturing industry. If individuals first learn to embrace the changes, enterprise businesses can utilise these shifts in processes and see the benefits that digitalisation has on an existing company’s infrastructure. To gain a stronger understanding of the positives of this digital revolution and why you should take the necessary steps to , continue reading. incorporate digitalisation practices into the running of your enterprise Robots and Additive Manufacturing In terms of hands-on responsibilities within the manufacturing industry, automated robots and 3D printers are fast replacing human processes. Robots and additive manufacturing have now seen jobs completed from conceptualisation to end result with very minimal human involvement. This has resulted in a considerable increase in the mass production of products and a consistent lowering of costs without a human workforce slowing down the process. Consumers’ expectations and requirements for customisation are also being met through the use of robots. checking inventory and collaborative robots are just some of the ways these digital solutions are quickly and safely transforming the manufacturing business. With automated processes, you can streamline your business results of . Drones up to 5x cut in operating costs Digitalisation within different industries Supply chain Through digital transformation strategy, the way you can collate, can be drastically improved. The information that can be digitally collected and stored is incredibly valuable to your enterprise. Through revolutionary technology, those within the supply chain sector will be able to establish data patterns and trends and organise and share essential performance data. These insights can shine a light on the following: analyse and act on data Manufacturing lead times Costs of various raw materials Product availability data for suppliers Shipping/logistics estimates Demand forecasts Digitalisation can quicken this process for a more collaborative, . It creates a chain which is connected and works as one to provide the best results for your consumers. streamlined and efficient supply chain Automotive industry Growing advancements in digitalisation can give customers a when it comes to researching, purchasing and operating vehicles. Digitalisation within automotive manufacturing specifically can lead to increased productivity, greater flexibility and a more individualised service and vehicle for the customer. high-quality personalised service Vehicle manufacturers and suppliers can benefit too because, with thanks to digitalisation, the parts inventory is reduced by up to 30%. Further, with a to suppliers, it is easy to see why those within the car manufacturing industry should use digitalisation to their advantage. calculated £2.6 billion of benefit Autonomous vehicle technology could soon also impact the manufacturing industry further, with driverless upgrades expected industry-wide within the next few years, all in order to meet the consumers’ ever-growing need for more efficient delivery of the product you are selling. Logistics and transportation Businesses in logistics have had to seriously assess how to carry out their roles within the manufacturing sector due to the real-time economy. Although those within the logistics industry have embraced digitalisation at a slower pace than other industries, digital adoption is still on their radar and should be on yours. When managed right, it can allow smaller companies to have a more global reach and compete with sector giants. Speed and timing are critical to the logistics industry, and these transformations have seen rapid evolution in . Drones can be used to find more efficient ways to deliver shipments, and the manufacturing process can be aided by 3D printing. Shared warehouse and transport capabilities can see utilisation of assets increase. how logistics are managed What’s more, will support trade growth, as logistics manufacturers will be able to provide customers with faster same day deliveries. Digital platforms can see an increase in outreach and trade growth increasing the supply and demand for products. digitally enabled logistics services To conclude As the relationship between human and automated processes evolves, and we rely more and more on automotive technology and robotic AI systems to complete and carry out jobs from start to finish, enterprises must embrace these advancements if you hope to keep up. Failing to do so could see your company fall behind the wayside in a competitive market. For more information and advice on how you can best digitalise your enterprise, feel free to . contact us Originally published at eleks.com on November 8, 2018.

Industry 4.0 Definition And The Benefits of Digitalisation For Manufacturing

Across the globe, enterprises are increasingly turning to digital solutions to innovate their process, cut time and cost, and improve their operations. One such way you can do this is by adopting a technology solution known as Robotic Process Automation (RPA). Robotic Process Automation (RPA) is the application of technology which allows employees to configure and access computer software (a “robot”) to , manipulate data and communicate with further digital systems. interpret, analyse, and capture applications to process transactions Not only is this practice a way to automate necessary business processes, but it also frees up valuable employees to focus on different tasks, such as attending to consumers and clients. The range of ways enterprises are utilising RPA can vary from automatically replying to a customer email, as first to refund consumers for late trains, to a bank completely redesigning its claims handling process to enable it to handle over 1.5 million requests a year. implemented by Virgin Trains in 2015 Industries Paving The Way: The , the first computer-operated machine arm, may seem primitive in modern society, but it was undoubtedly the start of the automation revolution in this sector. Today, vehicle manufacturers can use RPA to comply with regulations and benefit from real-time reporting to develop business processes and operations. Automotive. Unimate technology (1954) In the retail sector, adopting innovation is a crucial way to distinguish yourself from your competitors. RPA can aid production to ensure the items make it safely and quickly to the shelves, along with automating returns in the case of e-commerce stores. By removing the need for a human employee to input every product return manually, a business will not only save money, but it will also save valuable time. Retail. By using RPA, a logistics company can from start to finish. A business can also gain greater insight into their supply chain and finances by accessing real-time data. Transport, on the other hand, can use RPA to , such as creating a self-service system that the modern day consumer craves. Transportation & Logistics. automate the shipping process respond effectively to customer expectations What Are The Benefits of Robotic Process automation (RPA)? Adopting RPA software is less expensive than hiring a new employee to complete the task. This leads to on yearly costs for an enterprise. Reduce costs. an average overall saving of 37% Humans make mistakes; it’s in our nature. . When a human employee lacks the knowledge to complete a task, RPA will step in to help. It eliminates the rate of errors, leading to lower operational risk. Reduce human error. Robots don’t Your customers are the backbone of your business. RPA frees up valuable employee time, meaning they can respond to customer queries and offer help when previously, they would have been busy with a mundane task. Improve customer experience. . To adopt RPA, you simply add it to your existing IT solutions. It’s a tool to boost and improve your current operations, not replace it entirely. There’s no need to replace existing systems What Do You Need to Keep in Mind When Choosing RPA? RPA can significantly . It reduces time constraints of human employees and reduces the risk of errors. It’s no surprise then that businesses are increasingly turning towards such processes. However, before you implement RPA within your company, there are considerations to keep in mind. increase an enterprise’s productivity and digitalise their current operations With so many robotics options now available, the right choice may be quite challenging to make. There are also numerous low-quality, self-made RPAs on the market. You need to research, plan and carefully manage the RPA you implement to ensure you don’t expose your business to some security risks as well as don’t lose money. Investment Risks. Both RPA software and RPA instances introduce additional security vulnerabilities since RPA technology requires proper governance and security controls. Otherwise, it can become a desired target for many hackers. The key areas of concern here include governance, vulnerability management and password management for software robots, regulatory compliance and more. For an in-depth look into the security risks, . Security Vulnerability. our whitepaper explains further Unfortunately, machine-learning algorithms run the risk of on which they base their decisions. It’s a real risk for multinational enterprises in particular, and can significantly damage a business’s reputation. A high-profile case for this risk is Uber. During the terrorist acts in London, the , resulting in a reputation-damaging scandal, one which was hard for Uber to recover from successfully. Unethical machine-learnt patterns. picking up unethical and unacceptable patterns Uber algorithm raised fare prices very high To Conclude When adopting RPA, regardless of your industry, you need to do so with the utmost care and research. Only by preparing your business in advance and discussing your with experts can you successfully adopt this process. custom software development Ready to adopt an automated software solution for your business needs? We will guide you every step of the way. with us! Get in touch Originally published at eleks.com on November 1, 2018.

How is Robotic Process Automation (RPA) Transforming Enterprises?

As , the changes in how enterprises use technology have made corporate environments harder to protect while increasing the importance of their protection at the same time. When digital data becomes more extensive, businesses are expected to become more ‘open’ and connected, even though the . McKinsey stated cybercrime landscape evolves year after year Cost-saving, flexibility, mobility and security, to some extent, are forcing rapid cloud adoption. A focus on Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) allows organisations to adopt smooth digital transformation and shorten the time to market. Supply chains are also becoming more sophisticated and interconnected. That means responsibility is shared with a vendor, but accountability is still on the business itself. Deploying cloud technology inevitably implies a loss of control in some respects. When it becomes harder to know exactly what data you even own, asset management, vulnerability and incident management become more challenging. As always, awareness of the challenges involved is key to reducing cloud computing security issues and compliance exposure: . Before cloud adoption enterprises enjoyed expansive control over on-premise IT equipment, vendor risk was limited to firmware and software updates. Cloud implementations imply far broader vendor risk. Cloud vendors are responsible for everything from network security to regulatory compliance, and it is challenging for clients to verify the assurances put in place by vendors. Vendor risk . Enterprises that handle personal and financial data face stiff penalties for violating data protection requirements. Regulations such as GDPR mandate that data is controlled and protected to a high degree. It is easier to comply with data regulations when data is stored on-site or on equipment controlled by an enterprise. Data in the cloud is a different matter altogether. Data regulations . Utilising the cloud implies that a wider range of parties will have access to enterprise data, from a wider range of locations. Controlling access rights become more difficult once physical barriers are removed, but handing data to an independent third party automatically implies a loss of control. Credentials and data leakage Mitigating cloud computing security issues and compliance challenges While it’s pretty easy to from a technological perspective, proper governance needs to become a top priority, including compliance, risk management, vendor management, proper data classification, access control and change management. scale to the cloud It is impossible to extinguish all from a closed, on-premise computing platform and it is even more challenging to do so in a cloud environment. However, risk mitigation can be effective in reducing the opportunities for loss, harm or noncompliance to minimal levels. technology security exposures Once your enterprise is aware of the unique cloud computing security issues and compliance risks that enterprise cloud computing poses, it can take mitigating actions: . Every enterprise adopts cloud computing in a different shape and form. Public clouds can be more cost-effective than a private or hybrid cloud, but they involve relinquishing more control over security and compliance aspects. Similarly, opting for Software as a Service (SaaS), instead of IaaS, combined with your own software, implies less direct control over the software environment. Choose the solution that matches your and your client’s risk tolerance. Measure your risk exposure . When using cloud computing, enterprises should remain vigilant against vendor risk. Consider questions around ownership, vendor sustainability and security practices. However, these questions should also be asked of the vendor’s partners as cloud risk management also implies managing risks at the weakest link. Risk-profile your vendors . Cloud security breaches are constantly in the news, and in many cases, the attackers found brand-new exploits. Wise enterprises will rapidly learn from the mistakes of others and ensure cloud computing practices are quickly adapted to guard against rapid changes in the security environment. Rapidly learn from failure . The cloud is easy to use, accessible and open. Users should be educated in good security practices, while enterprise IT management should insist on inconvenient but effective practices such as two-factor authentication. Also, user credentials should be managed with extreme care: cloud credentials are effectively the keys to the premises. Tightly manage user behaviour and credentials . In taking advantage of the cloud, enterprises should strongly focus on the detailed terms of service and ensure that public clouds, hybrid clouds and SaaS/PaaS meet local and international regulatory standards. Understand where your data is stored and ensure that you only work with cloud vendors that practice the required compliance regimes. Get to grips with data compliance From the compliance perspective, you will rely on your vendor’s capabilities to provide , resources and workloads. Make sure you’ve covered the essential aspects from your side as well: data security Make sure the NDA, SLA and security baselines are negotiated Harden your cloud instance according to vendor recommendations Apply and configure custom security controls Encrypt your data before moving it to the cloud Manage encryption keys yourself, whenever possible Deploy honeypots to detect malicious activity Collect and analyse logs “Remember, you’ll be limited when conducting cloud audit, and you’ll need to rely on the 3rd party opinion to verify the cloud provider claims. So, focus on really important audit types like SOC2 Type 2, ISO 27001, CSA STAR, FedRAMP, etc., and check the scope whether those cover all the components you need”, says Iurii Garasym, the Director of Corporate Security at ELEKS. “Also, run penetration testing, monitor the provider yourself where possible, request and check recent OWASP Top10 pen-test reports against their API and portal.” Consider getting help with cloud security and compliance Whether cloud computing security issues and compliance aspects should be managed using internal capabilities or indeed by a public cloud provider or SaaS operator depends on the level of internal expertise your enterprise enjoys, the type of data that is handled and the client environment you operate in. Regardless, deploying an expert in cloud security will be highly beneficial. Cloud risks are unique and require evaluation by a partner that intimately knows how the cloud works, whether it involves developing cloud apps from scratch or migrating existing workflows to the cloud. for an end-to-end review of your enterprise cloud security objectives; we can guide you towards maximum cloud utility with minimum risk. Contact us Originally published at eleks.com on October 19, 2018.

Cloud Computing Security Issues And How to Meet Them Head On

The origins of blockchain as a distributed, public ledger may at first glance suggest that it’s fundamentally incompatible with the iron-clad privacy demanded by GDPR legislation; however, blockchain has evolved. Developments such as zero-knowledge proof are well-placed to support rather than obstruct data privacy. Does it mean that GDPR compliance and blockchain can not only coexist but enable better data privacy? Data protection regulations, in particular, , draw stark lines when it comes to data security, data privacy and the rights of users to control access to personal data — including the right to be forgotten. Blockchain, in contrast, originated as a public ledger where every participant has access to the entire blockchain. In addition, blockchain transactions, and by extension the data stored in a blockchain, is immutable. In other words, once recorded, a transaction and the associated transaction data cannot be erased. GDPR It’s clear that the public aspects of the blockchain, such as Bitcoin, and the immutability of blockchain, both conflict with GDPR stipulations, but this is taking a simplistic approach to the blockchain. A blockchain does not need to be public, and although transaction data will be immutable, utilising blockchain applications does not dictate that personal data falling under GDPR protection must also be stored in the immutable blockchain. GDPR compliance and blockchain: meeting GDPR requirements While blockchain may appear to conflict with data privacy requirements, enterprises familiar with the versatility and the will know that blockchain is a malleable technology. risks and rewards of adopting blockchain In fact, have stand-out features that closely align with GDPR expectations. Besides, where blockchain does not inherently align with data privacy principles, the effective workarounds are just a few steps away. Here are a few key ideas: blockchain applications . By using hashing that works one-way, an enterprise can while keeping personal data stored off-chain. While the hash of the personal data will be stored on the blockchain, a one-way hash means that this hashed data will be meaningless once the off-chain personal data is deleted. Store personal data off-chain make use of blockchain to store transactional data . In short, zero-knowledge proof implies that one party (the prover) can prove to another party that it knows certain facts without revealing those facts or revealing how these facts are known. Using zero-knowledge algorithms implies that personal data stays out of the fray, without hobbling transactional efficiency. Deploy zero-knowledge proof . GDPR takes strong views on data security which aligns with the security advantages of a decentralised architecture. Blockchain doesn’t have a single point of failure which makes blockchain applications less vulnerable. In comparison, centralised data storage repositories have plenty of commonly exploited vulnerabilities. Utilise blockchain’s security advantages . Enterprises can opt to build a private blockchain that walls off external users, limiting access to data. Applications utilising public and private keys can allow participants to exchange blockchain data anonymously, all in aid of data protection compliance. Build private blockchain applications How blockchain can be a privacy enabler Instead of adapting blockchain applications to attain GDPR compliance, it is worth thinking of blockchain as a tool to enhance privacy. When no party obtains or handles personal data, data privacy considerations are dramatically reduced. The Sovrin Foundation’s is an early example of how blockchain can be utilised to enable transactions that are highly reliant on sensitive personally identifiable information, without actually transmitting and sharing this information. global identity network Creative applications of blockchain that meet privacy concerns are continuing to emerge, and it may well be that blockchain makes it far easier for enterprises to remain compliant with data privacy legislation such as GDPR. Utilising blockchain in the presence of GDPR Clearly, enterprises need to deploy a degree of creative thinking when developing blockchain applications that are GDPR compliant. Security and data privacy concerns should be at the forefront of blockchain application development. “Blockchain definitely has a wide variety of uses ; however, you should always keep data security in mind”, says Iurii Garasym, the Director of Corporate Security at ELEKS. ” It’s not a good idea to store personal or sensitive data in the plain format on blockchain. Consider using tokenisation or hashing instead. Personal data should be stored outside blockchain in some reliable storage or database. Then, the token, hash or link can be applied to the blockchain.” Although and then may sound pretty appealing for business, this solution will most likely never fully comply with the GDPR. Even when the encryption key is deleted, personal data is not. Therefore, the storage limitation principle requirements are not met. Especially, in case we are talking a lot about using the potential of quantum computers in the near future, keep in mind that they might be able to break this kind of encryption in a literal moment. having your personal data encrypted stored on the blockchain As always, the risk-based approach does make sense here. In most cases, a private or privileged blockchain with tokens in it and secure external storage should work best, at least for the time being. Are you unsure about the security and compliance aspects of your enterprise blockchain application? to see how you can adjust blockchain to meet privacy regulations, including GDPR. Contact us today Originally published at eleks.com on October 11, 2018.

GDPR Compliance and Blockchain: Friends or Foes?

We’ve highlighted the incredible benefits machine learning offers at the enterprise level. In fields as diverse as retail and machine learning can enhance efficiency and profitability. Yet machine learning is continuously evolving. In this article, we illustrate how attention models are promising even more for enterprises at the cutting edge of computing technology. agriculture Machine learning often takes inspiration from the way the human mind works. Neural networks have made huge advances in the way natural language and images are processed and attention models — which mimic human behaviour to some degree — are gaining prominence. In simple terms, attention models selectively process data by focusing on the parts or segments of data that is the most important. Just as the human mind focuses on important facts when evaluating a situation, attention models speed up the processing of large volumes of data by concentrating on the most relevant segments. Practical examples of attention models The data science applications for attention models are broad and rapidly evolving. Attention models are turning out to be incredibly practical. Here, we outline a number of ways in which attention models can improve data processing, and what the commercial benefits are. Interactive chatbots Automating customer interaction removes the pressure on customer service staff, reduces costs and — if done correctly — improves the customer experience. but significantly aided by attention mechanisms. An attention model can pick out the most important words even where sentences are long and complex. Natural language processing (NLP) is difficult to achieve Stacked Attention Networks for Image Question Answering As a consequence, enterprises can utilising neural networks in combination with a common knowledge base to interactively resolve customer issues without the involvement of a human actor. deploy automated chat bots Image processing By paying focused attention to the most significant objects in an image neural networks can rapidly by following the information flow from these significant areas. In a manner not dissimilar to the way the human mind works neural networks can focus on the most important areas in a scene and draw conclusions. interpret the true meaning of an image Neural Network for Fine-Grained Image Recognition As a result, attention models can make it easier to create hashtags based on images — useful for enterprises active on social media — while automatically boosting accessibility by, for example, creating descriptions for blind people. Attention models can even boost the ease with which automated systems can produce daily surveillance reports for security guards. There is already a vast amount of published written content, and the mountain of text is growing rapidly. Employing humans to create summaries for the purpose of cataloguing and reviewing is not always realistic. Instead, attention models are well-placed to pinpoint the most significant parts of the written content and to derive summaries that can automatically guide readers. Text summarization with TensorFlow Attention models can rapidly analyse text and detect which parts are the most significant. In turn, an algorithm supported by an attention model can quickly generate a headline or a summary which can guide a reader, offering a clear indication of the relevance and importance of written content. The role of attention models Though attention models can enable previously impossible features, they are even better suited to speed up existing processes. Enterprise algorithms can be improved upon, delivering higher performance and better results. These improvements do not come at the cost of increased processing power or higher computational complexity. Attention models offer enterprises the means to . Unsure of how machine learning, neural networks, and attention models can benefit your enterprise? tap more out of machine learning and automation Our has deep experience in deploying the latest in artificial intelligence. for insight into how you can draw enterprise benefits in areas such as customer service, product development, and operational efficiency. Data Science team Contact us Originally published at eleks.com on September 27, 2018.

Attention Models: Amplifying Machine Learning Benefits for Enterprise

The Internet of Things (IoT) is rapidly growing in scale, with the market for IoT devices being set to double in the years between now and 2021. The pervasive nature of IoT means that enterprises are inevitably drawn into both the benefits of IoT, as well as the IoT security issues. Yet, with the right strategy, enterprises can guard against the security challenges posed by IoT. The good thing with IoT is that it : healthcare, logistics, retail, insurance and banking. It helps improve decision-making, understand users better, deliver new customer value propositions, improve and optimise operations, generate income and raise the value of the business. can be put to work with almost any domain IoT is present in every enterprise in ways that can often be missed. A recent survey found that a third of companies in the UK, US and Germany . had over 1,000 shadow IoT devices on their network on any given day Organisations continue to adopt IoT devices with enthusiasm, not realising that these devices are often insecure by design and provide many opportunities for attackers. This fact dramatically expands the IoT threat landscape. Moreover, many IoT devices aren’t registered in IT inventories due to poor asset management: they are part of the hidden IT. The more connected an enterprise becomes, the more security vulnerabilities may appear. Enterprises must assume that their networks harbour IoT devices, even if making use of IoT tech is not a formal IT policy. Of course, for many companies in the fields of manufacturing, auto production and healthcare, IoT is core to their operations, and . Regardless, every enterprise should take the network risks behind IoT very seriously. for these enterprises, IoT security is of major concern Why IoT poses a different kind of risk In 2018, the number of connected IoT devices is expected to reach 1.2 billion. A lot of them are vulnerable and designed without security in mind. This is a huge problem that involves device manufacturers, software developers and users. The security of IoT impacts the user experience (authentication and the use of cryptographic systems always introduces extra cumbersome steps for users), product cost (complex cryptographic operations and secure storage), as well as the development cost. Among the IoT-specific security issues, the following three are the most common for enterprise businesses: Challenges in cataloguing and managing devices Many aspects of IT security rely on knowing which devices require protection. IoT poses a challenge, in that, shadow IoT aside, even IoT which is deployed with the full knowledge of IT teams can be difficult to catalogue because of the sheer number of devices involved. A single factory can contain thousands of connected sensors that all require scrutiny. Bullet-proofing every single IoT device, when there are thousands online, can be very difficult. Updating the firmware and managing security settings on tens of thousands of devices is highly costly and perhaps simply unattainable from a logistics perspective. Simple devices can lead to complex consequences A small sensor may appear incapable of leading to serious harm, but wrongdoers can exploit a seemingly insignificant vulnerability to gain wider access to networks and facilities. Because a single-function IoT device (such as a sensor) rarely contains much computing power, it is easy to take the view that hackers cannot manipulate it with the goal of causing broader damage. In fact, even a very basic IoT device can act as the first entry point into a network. Once intruders have entered a network by using an IoT device as a stepping stone, they could successfully compromise more advanced devices that offer further opportunities. IoT devices have also been used to launch denial-of-service (DDoS) attacks, which carry the risk of reputational blowback for the owners of compromised IoT devices. IoT devices are frequently not enterprise-grade Enterprise IT security relies on the enterprise-level security measures embedded in equipment sold for use in an enterprise environment. But many of the IoT devices on enterprise networks are in fact consumer grade, particularly where shadow IoT is concerned. This can limit the options for controlling important security aspects such as authentication and network encryption. There’s not much that enterprises can do about this fact, and for this reason, security teams need to think of alternative methods to mitigate any risks posed by IoT. How to protect against IoT security issues The world is expecting to see ransomware hijacks of IoT devices in the next year. Ransomware will evolve to target connected, smart, physical devices, potentially putting lives in danger. There is a lack of minimum-security standards for IoT, and this is critical, at least for governments and strategic infrastructure. Without that standard, there is no control over the security of IoT devices on the market. As Bruce Schneier says: “Companies can continue to sell IoT devices with whatever lousy security they want.” Awareness of the challenges that IoT poses is a good start: technology teams should view IoT devices as ‘hot’ and treat IoT accordingly to ensure that the benefits of IoT can be enjoyed on an ongoing basis. While replacing the legacy IoT infrastructure is often not the most practical approach, one of the options is to isolate insecure devices and create an additional layer of security between them. You need to obtain complete environment visibility, establish strict access control with privileged access management, and implement security monitoring to detect suspicious events, abnormal authentication events and unexpected configuration changes. Enterprise IoT devices shouldn’t be exposed to the Internet or enabled on networks with end-user stations. Clearly, and enterprises can mitigate IoT challenges by checking existing security practices against the following list: prevention is better than the cure IoT devices should be treated differently to other network devices from a security perspective. Ringfencing IoT devices and limiting the parts of your network that IoT devices have access to is a good start. Ensure network authentication is required for every single device. Devices should not be allowed access to gateways and network applications unless necessary. Also, ensure that strong passwords are always used and enable 2FA where possible. Apply network encryption everywhere, including Transport Security Layer (TLS), as this can ensure that data transmitted by IoT devices remains confidential. Physically block devices: if a device is not needed, turn off the power. Block ports on exposed devices as these can provide entry points. As far as practically possible, make a serious attempt to catalogue IoT devices so that your enterprise can update firmware and manage patches. Watch out for IoT where it’s least expected, such as in consumer electronics like fridges and conference room TV sets. Manage the connectivity of these devices carefully, blocking network access where it is not needed. These are just some of the steps your enterprise can take to ensure IoT devices, both known and unknown, do not pose a hazard to your network. But keeping IoT security issues under control requires . a broad change in security thinking “It’s not just about technology. A proper IoT governance is also essential”, says Iurii Garasym, the Director of Corporate Security at ELEKS. “For instance, you need to implement a security process for adding IoT devices to your network. Before IoT deployment, consider what information is collected and shared, as well as who can access it.” With stating in a recent survey that IoT poses a security risk, your company should seriously consider engaging a security partner that can help mitigate IoT risks. to discuss how to minimise your IoT security challenges. 77% of enterprises Get in touch Originally published at eleks.com on September 20, 2018.

Countering IoT Security Issues: an Enterprise Guide

Today’s businesses are driven by technology, there is no question about that. To thrive, your business must be responsive to technological advances, harnessing its disruptive aspects to transform into a more efficient, more profitable organisation. And to do this you need to have the right digital transformation strategy. For over 27 years, we have been working as a software technology partner for enterprises across industries including finance, retail, agriculture, logistics and more. We have worked on for organisations large and small. Our definition of digital transformation is this: a complete overhaul of an enterprise and its technological foundations, end-to-end. digital transformation projects covers enterprise products and services right through to operations and workflow. With hundreds of projects behind us we have found that the following five building blocks are essential to building a successful digital transformation strategy: Digital transformation 1. Focus on the objectives and impact Latest technology trends are frequently the kick-off point for digital transformation and it is easy to fall into the trap of starting the transformation in response to a trend, without knowing what the end goal is. Doing so can lead to sporadic changes that become chaotic. In turn, these changes do not integrate well because there is no strategic outlook. Maintaining customer and business value throughout digital transformation is key. A digital transformation that is not co-ordinated can put enterprises at risk of losing existing customers, eroding once lucrative markets. Another common issue is that those in charge of digital transformation often have a big-picture view of the organisation that may jar with what happens in reality on a day-to-day basis. To avoid this situation enterprises must plan, design and test from operations and customer perspective, building an understanding of where business value lies. Such tools as Business Model Canvas can provide insight into where the real payoffs of business transformation lie. Also, consider the which assists in understanding enterprise relationships and dependencies through the mapping of enterprise architecture. Overall, meaningful changes should not be made without fully comprehending the organisational context and the enterprise architecture. Zachman Framework 2. Provision tech resources and funding Digital transformation on an enterprise scale almost always involves capital and technology-intensive investments. It is not uncommon for promising transformation projects to stall mid-way because of a lack of funds, or due to technology infrastructure that cannot cope with increased demands. Starting a budgeting process right at the inception of a digital transformation project is essential to ensure that the scope of a project does not grow beyond the capabilities of an enterprise to fund it. A realistic budgeting and funding approach is crucial because a stalled transformation project brings little value. A discovery phase that can create a clear vision of the departure point in terms of an organisation’s digital maturity is a good start. Technology leaders should ensure that a solid technology foundation exists before embarking on digital transformation. Consider hiring experienced technology architects that can ensure a vendor-independent architecture is put into place which is centred around user value. 3. Engage stakeholders, assign ownership The implications of digital transformation reach wide and deep, and its success depends on buy-in from stakeholders while those driving transformation should take ownership of the project. Success depends, for example, on the involvement of team members at both executive level and board level. Leaving either out can lead to a transformation project getting stuck in a loop of approval and adjustment. Executive teams should involve board members throughout while simultaneously bringing in every stakeholder. The motivational aspect is also key to successful digital transformation, and this is why creating buy-in is so important. In large enterprises, digital transformation will require project advocates at every level of seniority and in every department. 4. Set milestones, draw up a roadmap Problems can arise if digital transformation is embarked upon without sufficient planning. Transformation can fail without the right planning and strategic vision especially if the scope and reach of digital transformation aren’t crisply defined. Deliverables can quickly spiral out of control if they are not fully described. An ad-hoc digital transformation process can be abrupt and lead to internal resistance because: The pace of change is too fast for the business and does not align with the organisational culture Changes and expectations are not sufficiently explained and managed Milestones are not defined, and highly motivational quick wins are never made The issues just listed are rarely intentional, rather these come to the fore due to a lack of competence and insufficient planning. Steps to fix these problems include: Starting with a plan before taking any action and include milestones, outlining every small step along the way Including quick wins that can boost motivation for everyone involved, from developers through to staff and stakeholders Ensuring everyone understands the why and how of the changes, across the company 5. Ensure sufficient resources and expertise Finally, digital transformation always requires a dedicated team. Set up a sufficiently resourced internal executive team that has the necessary knowledge and the authority to make decisions. While can be outsourced to a technology partner, your internal staff must be ready to manage and drive the project. software development and integration Experienced digital transformation partners can start by doing an overview of your enterprise architecture through interviews with executive teams. Doing so can allow a technology firm to build an understanding of your organisation and its environment, leading to a context analysis that highlights pain points and areas where digital transformation can be of real benefit. A technology partner can often deliver a more in-depth, less biased analysis and can come to a closer picture of how an enterprise functions. Obtain a clear picture of the status quo to start off with and the end goals of your digital transformation project are easier to formulate, and clearer in their own right. Conclusion In short, successful move to digital requires understanding that this process is a long road that requires a thoroughly considered digital transformation strategy with clear milestones. Mature enterprises cannot be overhauled in an instant. It is vital to understand enterprises change slowly and that embracing digital transformation in an unrushed manner is vital. With over 27 years of experience executing, overseeing and advising on software engineering projects, we have the insight to help your enterprise get the most of what today’s technology offers. Let’s discuss your challenges, goals and objectives. We’ll be happy to hear from you. ! Get in touch Originally published at eleks.com on September 13, 2018.

5 Steps for Building a Digital Transformation Strategy that Works

Loyalty and rewards programs are popular with customers but both program owners and members can struggle to get the most out of these schemes. Blockchain rewards programs can offer the transformative opportunity to reduce costs, draw in more participants and to provide flexible and faster redemption for members. Customer loyalty and rewards programs are transactional in nature, with large numbers of participants. These are typical characteristics of blockchain applications, which is why the benefits of of loyalty and rewards programs are so strong. Here’s what blockchain rewards programs can help you achieve: embedding decentralised principles in the operations . Blockchain delivers efficiency improvements for loyalty programs both from a transactional and a customer acquisition viewpoint. This is in part because blockchain reduces the need for intermediaries. Loyalty program transaction costs are high, merchants to service credit cards tied to loyalty points. The scope for blockchain to deliver savings is wide open. Cost efficiency pay third parties $35bn a year . Customers get frustrated with rewards schemes because they often end up with too many accounts, each with too few points to meaningfully redeem. Blockchain can provide the opportunity to centralize loyalty rewards, making it easier for members to enjoy their rewards, consequently encouraging loyalty. Improved ease of use . Loyalty programs are traditionally opaque systems proprietary to their owners. , drawing in more commercial participants. At the same time, the openness and efficiency of blockchain mean that members do not have to wait for rewards to credit, often an issue where the program owner must credit points for money spent at independent merchants. Increased availability Blockchain can open up access to loyalty programs A theme quickly emerges: blockchain is adept at solving many of the challenges experienced by transactional networks that are hidden behind corporate walls — such as loyalty programs. Apply blockchain to loyalty programs and these networks become cheaper to run, more available and easier to use. How big businesses are reaping the benefits of blockchain It is not hard to see why blockchain and loyalty rewards programs could be a good fit. But does this match translate into the real world? We’ve found several existing use cases offering clear benefits for loyalty and rewards programs: . American Express to enable retailers to offer custom Membership Rewards offers. Retailer Boxed was one of the first to jump on the opportunity to offer Amex customers 5X membership rewards points on purchases. Amex removes barriers announced that it is leveraging Hyperledger . In an effort to make it easier for members of KrisFlyer, the airline’s loyalty program, to spend their miles, . KrisPay is a blockchain-based payment system that lets customers pay at a selection of retailers using airline miles earned with Singapore Airlines. Singapore Airlines adopts blockchain Singapore Airlines launched KrisPay . Japan’s e-commerce giant has issued $9.1 billion in loyalty points via Super Points since the inception of the platform in 2003. that it is going to roll this massive loyalty program into a cryptocurrency called Rakuten Coin, with the hope of further engaging customers with its retail offering. Rakuten plans its own currency In February 2018 it announced We’ve highlighted how the giants of credit cards, travel and e-commerce are embracing blockchain technology for their loyalty programs. Yet the effectiveness and longevity of these efforts heavily depend on the experience the program offers. User experience will be key Loyalty programs are a nice-to-have for consumers, but not a necessity. Anything that obstructs a good user experience will work against enthusiastic program adoption. That’s why when applying blockchain technology to loyalty and membership programs. a meaningful blockchain UX practice is essential Blockchain mechanisms differ in the way they operate, in comparison to centralised networks. Blockchain UX best practice, therefore, includes a strong element of user education. Apply the following principles to ensure happy, engaged program members: Use a progress indicator or another method to keep users informed of the progress of blockchain transactions which can often take a minute or two to complete. Inform users of the importance of safely storing personal keys as loss of a personal key has serious consequences — unlike an online account password. Explain to users that blockchain transactions are irreversible: there is no way to undo a transaction on a blockchain. Include gamification to boost user involvement, but explain the game to users to ensure they get involved. Encourage user feedback to help you build applications more suited to user needs by learning from user suggestions and complaints. Re-assure users: security is at the top of everyone’s minds and you can instal a sense of trust by clearly displaying security notifications every step of the way. Though efficiency, cost savings, and profitability are key drivers of blockchain adoption the user experience must stay central for loyalty programs to be loved and embraced. If you are considering adopting blockchain for your membership or loyalty program consider involving an enterprise blockchain expert. how you can achieve your business objectives through the cutting-edge opportunities blockchain offers. Let’s discuss Originally published at eleks.com on August 31, 2018.

The Why’s and How’s of Using Blockchain for Rewards Programs

Data cannot be transmitted without a protective layer, the security threats we face today are just too many. While data encryption can provide powerful protection, encryption is not foolproof, and enterprises may need additional security measures. Let’s compare tokenization vs encryption to see which method can better serve your data protection needs. Statista says, between 2005 and the first half of 2018 the number of data breaches in the USA reached 668 with over 22 million records exposed. According to Gartner, 35% of organisations currently use multiple data security tools, this is due to increase to 60% of organisations by 2020. One of these tools is . While tokenization is often more secure than encryption, it is not always the answer. Let’s review the benefits and the week points of tokenization vs encryption to see which one is best for your organisation. data tokenization The difference between encryption and tokenization Data encryption is a familiar tool that has seen decades of successful use, but the fact that it is reversible by design makes data encryption a vulnerable option. As a result, tokenization has emerged as one of the top technologies used by regulated industries to ensure information security — for the PCI. according to a PwC survey However, to understand why data tokenization is a better solution under some scenarios we must first clarify the difference between encryption and tokenization. Encryption Data encryption is the process of using an algorithm combined with a unique code to translate data into a form that does not resemble the original and which carries no meaning in the absence of the unique code, or decryption key. Encryption can be reversed and the data revealed if: the decryption key is stolen, or by brute-force attempts at discovering the encryption key. Herein lies the vulnerability of encrypted data: the actual data is still transmitted and can be illegally revealed by a determined actor. Tokenization Data tokenization takes a different approach. Any highly sensitive data such as credit card numbers is replaced with a token that uniquely identifies the data without containing the sensitive information. A token has no intrinsic value or meaning, but it does allow for transactions to take place as the token maps to sensitive data, while the sensitive data itself remains securely stored, and not transmitted. However, tokenization can be resource-intensive and presents practical hurdles that data encryption does not. It depends on your use case Because tokenization avoids the transmission of sensitive data, it can be a more secure alternative to encryption, but tokenization is not suitable for unstructured data or large volumes of data. When to consider encryption Data encryption can efficiently apply a protective layer to large volumes of data without encumbering data transmission, or access by the recipient. In fact, for many general data protection use cases, data encryption offers the best mix of convenience, practicality, and security. Consider encryption for: : Where your enterprise transmits large amounts of data such as images or video footage data encryption can provide effective protection without incurring large costs. Likewise, where data lacks the type of structure (ID numbers, credit card details, etc) that is required for token association encryption is a suitable alternative. Unstructured data, large volumes of data . Some data requires Fort Knox-like protection, and regulation such as PCI compliance and HIPAA demands matching protective measures. Other data sets require merely adequate protection, with an associated reduced motive for data theft. In these cases, encryption is the most cost-effective protective measure. Lower compliance requirements Where tokenization is the answer Certain data sets such as credit card information pose such a risk of data theft that it is simply better to not transmit the actual data, instead tokenizing it. Tokenization can be a good fit under the following scenarios: . Where compliance requirements are truly onerous (think PCI DSS) it can simply be better not to handle the underlying data at all. Tokenization provides the opportunity to transact without handling data, limiting your exposure to compliance requirements. Very strict compliance requirements . Security gains and the associated efforts always involve a trade-off. However, where data has predictable structure tokenization becomes easier to apply. Consider tokenization if your data is highly structured. Structured data . While data encryption is standardised and easy to apply, data security using tokenization requires a more extensive rethink of systems and procedures. However, where tokenization has already proved to work your enterprise can adopt established practices to enjoy the same security advantages. Tokenization is already an extremely popular way to protect payment information, for example. Where existing use is proven Choosing between encryption and tokenization The choice between encryption and tokenization is not always straightforward. Besides, enterprises can be hesitant about adopting tokenization: just like , tokenization is a new concept that is not fully understood. For enterprises determined to discover the benefits of data tokenization . blockchain taking the perceived risk could lead to huge security rewards Let’s discuss your security requirements and find an optimal approach to ensure your data is protected. . Get in touch with us Originally published at eleks.com on August 23, 2018.

Tokenization vs Encryption: Things You Need to Know to Choose

The term adaptive security architecture is now at the forefront of discussion when it comes to the most appropriate response to dealing with data security for businesses. Through suitable implementation, adaptive security architecture can soon become a mainstream method. It allows companies to capitalize on the technology available, with their personal data and customer’s information remaining a top priority. As cybersecurity threats and hacking methods become more advanced in terms of their methods of attack, similarly businesses need to adapt their methods of . The advancements in data security breaches and the way in which companies can tackle them is an ever-changing and evolving problem. This problem will constantly need a workable, adaptable solution. handling and preventing such threats With an adaptive security architecture, methods used to deal with cyberattacks are improved with a basis of a more dynamic, continuous and effective modus operandi. As opposed to focusing on preventative measures and data recovery, the adaptive security architecture is built on the foundations of a more responsive, receptive and real-time outlook to protecting your data. What are the main features? : The appeal of adaptive security architecture focuses on taking the initiative and working continuously against any potential threats, as opposed to reacting and dealing with a threat or hack after it has occurred. Through adopting a strategy of anticipating a threat before it has occurred, such security approach can help protect your business’s data, long before the damage is done, through preventing the hack in the first place. Prevention : Through appropriate detection, threats can be identified and established before they have caused any damage to a business or enterprise. This essentially allows businesses to prepare for any eventuality, working to prevent targeted hacks, as opposed to having to handle such a threat when it is too late. Detection : Via a thorough investigation of incidents and appropriate analysis, an adaptive security architecture can respond accordingly to a threat, whether through a design or policy change or remediate response. This is in comparison to merely implementing a method of data recovery after the breach has occurred. Response : A feature of adaptive security architecture is being able to anticipate threats and attacks before they occur. This is through monitoring behaviour and finding any discrepancies over continuous assessment and analysis. Prediction A focus on machine learning By having an adaptive security architecture that continuously responds and is made aware of threats throughout all areas of a business, you as a business owner will be collectively taking all measures to protect the data of your clients at various entry points for cyber hacks. Through a service that continuously works to adapt and improve through the collection and analysis of data, you can rest assured you are taking the relevant and necessary precautions and preventative measures that can keep your business one step ahead. Artificial Intelligence and Data Protection As Artificial Intelligence or AI, advancements begin to become ingrained in everyday society, adopting a business’s security measures to is another essential step for business owners to take. These security platforms that are powered by analytics and AI will generally work faster than less advanced or human counterparts, with more accurate results. allow for AI advancements to assist in preventing data hacks An example is User and Entity Behaviour Analytics, or , which works to profile the activity of users, devices, applications and networks. It seeks to detect anomalous patterns or unusual behaviour, that may arouse suspicion. UEBA Quicker responses and real-time monitoring ensure that businesses with an adaptive security architecture can give their employees and customers the peace of mind that their data is protected by a sophisticated system. This system can encompass various areas of a business including network activity, user activity monitoring, system interactions and application transactions. Add to this, the fact that there is more of a chance of any threat being known before it impacts a business or company, and it is easy to see how adaptive security architecture could soon become the norm for mainstream businesses. To Conclude Essentially, all businesses need to keep up with the ever-evolving advancements in data hacking. You cannot hope to do this without a forward-thinking approach that encompasses new ideas and strategies that can help, as opposed to hinder, a business to move forward with an appropriate data protection system in place. “Every CISO would like to develop business-driven, risk and opportunity focused security architecture at both levels: enterprise and solutions”, comments Iurii Garasym, the Director of Corporate Security at ELEKS. “This architecture needs to be traceable and should help support the company’s business objectives. The challenges here include dozens of possible attack vectors, a mass of hypothesis requiring verification, lots of security controls to address, etc. Adapting to security threats as they evolve is one of the critical aspects of the CISO’s role. In my experience, you should always keep in mind the triad: “Prevent — Detect — Response.” To establish a proactive approach to security, you need to build a mature team and do your work smartly. That means you need to look for optimisation and innovation. For such tasks as collecting and analysing data or automating and optimising routine tasks, consider using Artificial intelligence and Machine Learning for prediction and continuous incident response. Enhance your model and tune the rules using reliable inputs and data sources. In this way, you can automatically reduce the impact of a potential attack. The other important aspect of a comprehensive security strategy is the business context. You need to continually evaluate business impact, assess risks and make well-thought decisions. Such adaptive security approach will allow your business to survive and thrive in the era of the ever-evolving threat landscape. Here’s a whitepaper about the to help you build a proactive security strategy with a focus on continuous risk assessment and prevention. preventive actions enterprises can take to avoid IT security vulnerabilities If you are looking for security services to help your business adopt an intelligent adaptive approach to security, our team of security experts will be happy to assist your needs. . Get in touch with us Originally published at eleks.com on August 16, 2018.

Why Adaptive Security Architecture Will Become A New Standard

Data is booming, thanks to technologies ranging from IoT through to blockchain applications. Decentralised storage offers an excellent opportunity to manage the immense amounts of enterprise data collected by companies around the world. But why it’s worth combining decentralised storage with blockchain and what benefits can blockchain data storage offer? Let’s take a look. Enterprises have moved away from centralised, local data storage to instead . Most cloud solutions still involve the storage of enterprise data in a single (or a few) locations, and these are managed by a single provider. Cloud facilities are outsourced, but essentially centralised. While decentralisation moves data storage into the next realm, many experts share the opinion that blockchain data storage . make use of cloud providers for storage can soon become a new standard “The way we treat data is likely to change massively”, says Anatoliy Lytovchenko, Head of Software Engineering and Development Office at ELEKS. “People start realising that their personal data is a valuable asset: some want to trade it, some would prefer to keep it private. Centralised data storage becomes an attractive target for hackers, so logically, blockchain with its promise of security and disruptive features can become a winning option.” Why use decentralised data storage? . Cleary, decentralised data storage will only work if security is tight, and the data encryption typically applied to decentralised storage is extremely strong. Decentralised networks also remove single points of failure because your storage is not dependent on a single actor, or a single location. Bullet-proof security . Decentralised networks can borrow from blockchain functionality, ensuring that no single party is in control of data. Data becomes immutable — in other words, guaranteed to be correct — because a correct copy is stored in multiple places. Immutability . Storage that is decentralised optimises costs because storage marketplaces make use of capacity that is already spare. There is no need to buy infrastructure to store your enterprise data, it is simply committed to decentralised storage that is already available. Optimized costs . Storage marketplaces are vast networks with massive storage capacity. These decentralised networks can adapt to your requirements: scaling up when necessary, scaling down when no longer needed. Scalable infrastructure Decentralised data storage and blockchain is a powerful combination Decentralised data storage relates closely to blockchains because many of the concepts overlap. Blockchain itself is a decentralised data storage network, but the way blockchain operates makes it better suited to storing and handling transactional data. Blockchains can be used for in multiple areas. However, blockchain data storage cannot cope well with large amounts of raw data. This is where decentralised networks can lend a helping hand to blockchains. secure document transfer Until recently many of the popular decentralised apps (dApps) that are blockchain-driven had to make use of traditional cloud storage providers for data storage. But cloud storage is not a good match for . The concept of decentralised data storage (which includes storage marketplaces) provides a way forward, enabling apps such as prediction markets to flourish, unencumbered by the vast amounts of data that needs to be stored and processed. incredibly dynamic blockchain applications Which sectors benefit from blockchain data storage? The cost and scalability of decentralised storage make it suited to a vast array of industries. That said, features such as the immutability of data and the potential for extremely high levels of security have a narrower but incredibly valuable purpose. These features make blockchain data storage particularly well suited such as healthcare and financial services. Protecting data and verifying the validity of stored data is paramount for enterprises operating in the fields of health and finance. for industries that are highly regulated, Just as cloud computing carries risks due to the involvement of third parties in data handling, so does blockchain data storage. Any technology that relies on distributed networks require close monitoring, but the tight security measures applied to these technologies often result in extremely effective measures. Yes, adopting new technologies, including blockchain and decentralised data storage, , but these can be mitigated. Mitigation starts with the right partner. A partner that will also help your enterprise get the maximum benefit from advanced technology. carries risks and costs to see how your business can realise the advantages of decentralisation, including decentralised data storage, and to get further insight into powerful applications such as blockchains and storage markets. Get in touch with us Originally published at eleks.com on August 3, 2018.

How Blockchain Data Storage Can Work for Enterprise Data Management

The internet of things and the incredible advances it brings is gaining wide awareness. Mountains of real-time data from an unlimited number of connected data points bring the possibility of unprecedented insights. But how do we tap the most out of these data streams? The answer lies in AI: meet the internet of intelligent things. IoT (internet of things) technology is well defined, it refers to the billions of . But the massive data streams that are produced by IoT devices can be overwhelming. Here’s where AI comes into play, introducing the internet of intelligent things. internet-connected devices deployed around the world that more work needs to be done to utilise IoT, suggesting that AI may be a solution. In recent years it’s become increasingly clear that IoT networks become intelligent when these networks make use of autonomous technology such as artificial intelligence and machine learning. Technologies such as AI make greater use of the broad connectedness and vast data streams that IoT devices are capable of. Back in 2014, Wired Magazine featured an opinion What benefits AI brings to the table There are existing solutions that can analyse and interpret IoT data, but artificial intelligence and machine learning can draw more advanced insights from data and draw these insights more rapidly. AI can identify unusual trends with greater accuracy and removes the need for human data review by using computer vision and speech recognition. The business benefits of IoT are well established but the immense advantages of intelligent things are just emerging. Enterprises can look forward to unprecedented ways of operating. Here are just three examples: . Yes, IoT allows enterprises to monitor their operations at a very fine level of detail, getting extreme insight into the day to day activities of companies large and small. Nonetheless, responding to this ocean of data is not always as rapid as it should be. AI allows enterprises to more rapidly react to situations because data is crunched faster, and with more insight. Faster responses For example, Fujitsu has piloted the use of intelligent things to get alerted to drops in worker productivity as a result of heat stress. , including automated CCTV footage analysis enabling faster responses to fraudulent transactions. Banks are evaluating AI-enabled real-time analysis of ATM use . IoT already allows industrial concerns to quickly respond to equipment failure. No need to wait for a human inspector to notify of a mishap, broken equipment is reported straight away, and a response can be launched quickly. Yet AI-enabled IoT tech can prevent these failures from happening in the first instance. Predictive maintenance drawing on IoT data streams to predict which conditions result in equipment failure. As a result, it can take preventative action in time, avoiding costly repairs. An Australian utility company is using predictive-based analytics . IoT devices provide the expansive data streams that allow enterprises to evaluate the performance of individual components to a micro scale. But intelligent computing can tap knowledge from these data streams faster than traditional analysis can. Improved efficiency For example, Rolls Royce is using AI-powered computing platforms to . As a result, Rolls Royce can make design changes and operational recommendations that reduce airline fuel consumption. analyse the data generated by its aircraft engines Tapping the internet of intelligent things Clearly, IoT devices can provide the deep real-time data pools that deliver extraordinary advantages for enterprises in a range of sectors. Harnessing this data to achieve real benefits is, however, a challenge. is extraordinary. Yet the combined effect of IoT and artificial intelligence can be game-changing for many industries. You need a partner to tap the true potential of IoT, a partner that understands how to exploit the potential of connected devices. We can help you integrate your IoT data streams with cutting-edge technologies such as AI and machine learning. The impact of AI on our daily lives to see how we can harness the treasure trove of data collected by your IoT networks to drive operational efficiency and in turn, your business bottom line. Contact us Originally published at eleks.com on August 9, 2018.

The internet of intelligent things: How AI makes IoT smarter

BDD, or behaviour-driven development, is a hot topic of late. In a nutshell, this approach creates executable, yet easy-to-comprehend tests from natural language phrases. This article will explore the advantages and disadvantages of a BDD testing strategy. BDD’s fundamental function is to afford stakeholders the chance to understand all facets of a project by using straightforward language instead of hard-to-read code. That is to say, this BDD testing approach allows to build tests that depict the system’s anticipated behaviour as well as the users’ needs. Below you can see a basic BBD test scenario and a piece of code that has been implemented with the traditional functional approach. The difference in readability is visible at first sight, isn’t it? A basic BDD test scenario. Code that has been implemented with the traditional functional approach. From this example, it’s obvious that a BDD test is easier to understand and allows all members of the team to get to grips with whatever requirement or function is being tested. When it comes to Agile, we are able to clearly show what each automation script covers, in terms of acceptance criteria, user story or feature. Consequently, producing BDD test scenarios demands considerable more effort. Traditional functional tests vs. BDD Let’s look at a comparison of the traditional approach with BDD when using , a tool that generates executable specifications. Cucumber Typically, behaviour-driven development is utilised for ; however, it is also appropriate for unit testing, such as Jasmine or Cucumber, performance testing and API testing. UI end-to-end testing The benefits of BDD testing In addition to the easy-to-understand scripts, BDD offers a sizeable boost in project clarity, as well as the opportunity to cut down time spent on long-term endeavours. One of my biggest pet peeves is when only the engineer who executed a project’s tests can understand their results. BDD turns pages of hard-to-read code into text that is understandable by everyone, from managers and assistants to analysts and customers. Of course, test implementation is not a project’s core activity; support and test execution generally takes longer than the initial test writing; however, if you take a look at the time and energy spent on investigating issues and analysing test results, it’s easy to see the benefit in being able to troubleshoot failed BDD scenarios quickly. Being able to easily spot which step of a particular feature has fallen short and why, as well as being able to recognise a link between a business requirement and a failed test, puts you in a unique position when it comes to providing stakeholder feedback in a timely and understandable fashion. Some limitations Even though BDD testing offers a lot in terms of potential benefits, there are some drawbacks to take into consideration before opting to use the BDD approach for your next project: The code will demand a significant amount of time and effort to implement. For smaller, fast-paced projects, the overly verbose BDD approach is a bad fit. If your project’s development will cover complex user interactions and multiple product features and will take longer than six months to complete, then BDD is worth your consideration. Prior to setting up efficient BDD workflows, you need to have your project requirements well-defined, unless you want to devote additional time to clarifying app workflows and behaviours. Occasionally, the step definitions (Given/When/Then) may seem difficult to traverse. To make your life easier, you can use IDE plugins, like VSCode Cucumber, that open the code behind the steps or help to autocomplete them. Summary BDD is not a panacea, but like any other technology, it can make a difference when it comes to the success of appropriate projects. If the list of statements below applies to you, BDD implementation should be your next step: My project has precise and well-defined business requirements. I need to share the project’s progress with management, stakeholders and project team members on a regular basis. My project will go on for more than six months. I favour a testing approach that is data-driven. If you would like some assistance with your BDD project or if you have a question relating to what BDD can offer you, . get in touch with us Originally published at eleks.com on July 5, 2018.

Does BDD Testing Live Up to its Hype?

Businesses that are on the cusp of adopting the cloud need to get a right cloud migration strategy to extract the desired cost efficiency, performance improvements and scalability from cloud computing. Millions of enterprise businesses are now platforms. According to Forrester, the total global public cloud market will be $178B in 2018, up from $146B in 2017, and will continue to grow at a 22% compound annual growth rate (CAGR). shifting computing workloads on to cloud While cloud computing has et’s review the best practices for building a successful cloud migration strategy. gained unstoppable momentum, l Choose the right deployment model Cloud computing does not always imply moving all your computing requirements and data to a server farm controlled by a third party. In fact, there are several options, each with unique merits: . The original and most popular cloud model, public cloud entails utilising third-party computing power that is shared with several if not millions of other users. The provider is in full control of computing resources, including security. Public cloud . As with the public cloud, private cloud applies the same high-efficiency technologies, such as virtualization, but to a platform dedicated to a single user. Could be hosted by a third party, or on-premise. Private cloud . A middle way where some computing requirements are performed in the public cloud, while other more sensitive requirements are handled in a private, dedicated cloud environment. Hybrid cloud . One way to avoid vendor lock-in, multi-cloud entails using several cloud vendors for your computing tasks. It could involve splitting database workloads across two cloud vendors, for example. Multi-cloud could also be used as a hybrid deployment, with some workloads managed on-premise. Multi-cloud Your deployment model of choice will depend on the type of data you handle. Opting for public cloud could cause issues where you handle highly sensitive data, for example. In turn, hybrid models are attractive but can be costly to administer and may bring a closer focus on the ability of the existing infrastructure to accommodate cloud models. Finally, opting for private cloud may sacrifice many of the cost-saving efficiencies cloud computing offers. Importantly, you should seriously weigh up the pros and cons of each deployment model long before deciding on vendors and actually migrating. Get migration right Your business may be familiar with the technology migration process but migrating to the cloud present unique challenges. These challenges must be tackled before your business start the migration process: . It may be stating the obvious but detailed migration planning is crucial. Large enterprises, in particular, should allow time for internal processes to adapt to cloud scenarios. Migrate non-critical application first and ensure backup alternatives are in place when migration fails. Strategy and planning . Chances are your cloud platform of choice will entail significant functional differences compared to existing applications. Train your staff and more importantly motivate your staff to be enthusiastic about the change, while planning for the time and costs involved. Onboarding and training of staff . Public cloud applications require solid internet connectivity. In the world of cloud computing internet downtime essentially means business downtime, so arrange for redundant low-latency connections with high bandwidth before you migrate. Connectivity Plan for ongoing management and maintenance A big advantage of cloud adoption is the reduced need for in-house technology management, while hardware and software maintenance are outsourced instead. This does not make cloud computing a set-and-forget option. Your cloud solution requires ongoing focus: . Be aware that switching from a capex model to an opex model requires a different way of budgeting and of assigning costs to teams. Avoid vendor lock-in: you need the freedom to switch providers to maintain cost efficiency. Maximum efficiency also entails responsively scaling capacity down when demand is low, a flexibility unique to cloud computing. Billing and costs . Clouds are flexible, malleable workspaces that can be an enormous boost to productivity when well managed, but that can quickly become chaotic. Install governance measures that cover in-house use and rules that manage the terms on which outside parties get access to your public or private cloud. Governance and data security . Public cloud platforms, in particular, are prone to frequent changes in functionality and presentation. It implies ongoing user alerts, the adaptation of processes and checking that integrations work. Budget time and funds to manage the ever-changing cloud landscape. Updates and changes Cloud computing is attractive in part because it removes many of the headaches around getting the most out of technology. But cloud deployments require management too and there are often complexities that will be alien to businesses that have not used cloud deployments. to get the most out of your move to the cloud. Get in touch with us Originally published at eleks.com on July 19, 2018.

How to Build a Successful Cloud Migration Strategy

Since its inception in 2008 as a public transaction ledger for Bitcoin, blockchain is now transforming dozens of verticals and continues on its growth curve. While more and more businesses are investing in blockchain, the technology is forecast to reach over $3T in business value by 2030. While trust is the cornerstone of the digital economy, blockchain is erasing industry boundaries thanks to the . These automated self-executing computer programs eliminate the possibility of downtime, censorship, fraud or any third-party interference. As this technology matures, it allows creating secure storage and in the legal sector, real estate, intellectual property and more. So, businesses are now actively investing in blockchain to leverage its speed to market and the broad range of business applications. secure and cost-effective smart contracts running transactions for various types of assets Blockchain technology is gaining attention in various sectors now. For forward-thinking companies, some low-level investments are evolving into potential full-fledged solutions. Big enterprise businesses are starting to actively roll-out their blockchain trials and pilots. In 2017, British Petroleum (BP) started to facilitate oil and gas trading as they explore its “practical and ethical” implications for transactions verification. The same year, the Bank of England to its growing accelerator program. experimenting with blockchain added another of many blockchain solutions Despite its promise, blockchain is not without its constraints and associated risks, and it will not succeed without relevant technical expertise. To make the most out of blockchain technology, you need a very clear vision of blockchain as a practical solution, a comprehensive strategy and a right expertise in place. Here are four questions you should ask yourself before investing in blockchain: Looking for a deeper dive into the risks and rewards of blockchain? Check out our whitepaper on the . risks and rewards of blockchain adoption If you need a reliable technology partner to ensure the full realisation of blockchain’s benefits, . We will be happy to answer your questions. get in touch with us Originally published at eleks.com on July 26, 2018.

4 Questions to Ask Yourself Before Investing In Blockchain

Big data is anticipated to deliver a huge impact on farming in the coming years. In this article, we’ll be looking at some of the ways that agricultural businesses are using data to supercharge their operations. Momentum around data-driven farming is gathering thanks to the use of technology like to produce reams of priceless information. The end goal is to help agricultural businesses make better, more informed decisions, allowing them to tap into a range of advantages. soil sensors, drones and livestock monitoring gadgets Key to realising its potential lies within the part in the middle; the applications and practices which make sense and use of all this information, creating a new era of for the world to behold. ‘smart farming’ How is big data being used? Big data has no shortage of uses within farming. Some of the more prominent include: Yield prediction Yield prediction sees the use of mathematical models to analyse data around yield, weather, chemicals, leaf and biomass index among others, with machine learning used to crunch the stats and power the making of decisions. in this way can allow a farmer to extract insight on what to plant as well as where and when to plant it. Predicting yields The use of sensors for collecting data means that only a small amount of manual work is required to hand each business an instruction manual on how to guarantee the best return from their crops. According to the International Journal of Computer & Mathematical Sciences, predicting yields in this way should improve the production of crops in countries like India, where population increases represent a very real concern. Risk management One area that is becoming all the more influenced by connected devices and algorithms is risk management. It’s now possible for farmers to leverage a web of big data with a view to evaluating the chances of events like crop failure, and even improve feed efficiency within the production of livestock. The area of risk management created headlines in 2014 as advice from was said to have saved millions in damages caused by shifting weather patterns. data scientists to Colombian rice farmers Food safety and spoilage prevention A critical aspect of modern-day farming — allowing instant detection of microbes and incidents of contamination. The collection of data around things like humidity, temperature and chemicals will paint a picture of health around . That level of insight should be of interest to organic farmers in the US, whose issues with between 2011–2014 was said to have caused damages of $66,395 per affected business. smart agricultural businesses GMO contamination Perhaps an earlier detection may have lowered the repair bill, or at least reduced some of the wastage? Operation/equipment management Finally, we cannot underestimate the role of big data in aiding various aspects of the everyday running of an agricultural business. Equipment manufacturers like have already made a good start with their fitting of sensors around vehicles to aid their providing of data. Farmers can then log into special portals to manage their fleet and maintenance of equipment in order to reduce downtime and keep everything productive. John Deere As more companies provide solutions to aid areas of equipment management and supply chain optimisation, we can expect a much smoother delivery of crops to the market. Conclusion Every farmer has a goal for their operation. Some of the more commonly cited are around improving profitability and efficiency, reducing the cost of an operation, or increasing product value. To achieve each goal, farmers must make better decisions and move beyond the use of general knowledge from research experiments, which can only carry them so far. No business is the same, and there is now an increasing need for information generated in a location-specific manner, providing a solution which fits in line with what each farmer needs. Through big data and connected devices, every one of the goals around profitability, efficiency and cost management are not only achievable but completely realistic. Looking to supercharge your agricultural business? to see how big data and connectivity can impact your organisation. Contact us Originally published at eleks.com on June 14, 2018.

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