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Is Now The Time To Look At Buying Sprinklr, Inc. (NYSE:CXM)? - Simply Wall St News

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AI has taken over social media. you have a tool that can dig deep into audience insights, predict the next big content hit, craft posts and visuals on its own, spot consumer trends, and decode public sentiment. Picture this: There is no doubt to say that AI is the backbone of every social media platform out there. It doesn't only help in analyzing what content pops up in your feed, but also cleaning up comments for a better browsing experience, and suggesting new content and friends you might enjoy. But, it poses a challenge for marketers, finding that spot where content appeals to both humans and AI algorithms. When it comes to what “The Algorithm" wants, we're left guessing. And, All too often, we switch from cheap tricks to increased engagement without creating any lasting value for our audiences. Interestingly, AI can lead to more genuine marketing on social media. It helps us understand the vast amount of data from social media platforms. This way, we can create content that truly matters to our audience. AI analyzes posts, comments, and interactions to let us provide what people want and address their interests better. Plus, AI saves a lot of time and money by automating and scaling these processes. That's why top social media marketers are using AI to: Automate repetitive tasks, saving time and money. Expand social media strategies across different platforms. Create posts and campaigns based on data that actually works. You can do this too, no matter your budget or company size. The rest of this post shows you how. How AI is Being Used in Social Media So how exactly can you use artificial intelligence to take your social media marketing game to a whole new level? Let's look at some of the best ways to do this. AI-Powered Content Curation One of the most challenging aspects of social media marketing is coming up with fresh content ideas that can drive engagement for your brand. Instead of copying your competitors or throwing a bunch of content ideas at the wall and hoping one sticks, AI analyzes your data and creates targeted messages based on what your audience has liked in the past. This way, you can be sure that the content you share will resonate with your social media audience and get the reaction you want. AI also helps in improving the quality of your content in terms of tone and grammar. Note: AI-enabled tools even analyze your social media data and determine which keywords, images, hashtags, and colors have a stronger impact on your audience based on past results. In addition, AI-powered content curation tools automatically create social media posts using a URL or information you provide that suits your brand voice. These tools also share the posts on different social platforms. Did you know that Elon Musk says xAI will open-source Grok this week? Automation of Social Network Management Your business is likely on more than one social media platform. And, while consistently publishing quality content, keeping up with the latest trends/updates on every platform can be quite a hassle. However, with the help of AI-powered social media management tools, it is easy to grow your influence and connect with your audience. These tools also plan out your social media posts in advance, track all your profiles, and generate appropriate responses for consumers after analyzing their messages. In simple form, AI will not only plan your campaigns. but also fill content gaps and keep your followers engaged with your brand voice. This tool can recycle content you've previously published, such as blog posts or infographics, and turn them into upload-ready social media posts with hashtags and relevant links. Advertising Campaigns on Social Networks How to get ahead of your competitors and get the most out of advertising on social networks? Several companies are using paid advertising on social media. If you aim to stand out and increase your campaign's impact, it's time to start creating better, smarter ads. AI-powered tools like Sprinklr help you create compelling, personalized social media ads and monitor and optimize your campaigns to maximize ROAS. Such tools offer recommendations to help your campaigns perform better. From comparing ad performance to planning out strategies, AI reduces your overall advertising costs. The copywriting AI tool analyzes your brand language and creates social media ad copy that will increase engagement and conversions for your business. Ensure that your social media ad copy matches your landing page to maintain consistency and communicate with users. Personalization Using Chatbots More followers and clients mean more money, but it also means more time spent serving them. Luckily for you, highly effective customer support and personalized audience experiences are some of the benefits that help your brand grow with the help of artificial intelligence. Hiring enough customer service staff to provide 24/7 customer support may not be feasible. Investing in AI-powered chatbots will respond to audience messages immediately, regardless of the time of day. You can even combine chatbots with your existing live chat software to provide your audience with 24/7 customer service support. With the help of machine learning, your AI chatbots will be able to provide relevant answers to various problems, questions, or queries that your audience may have. Such tools allow you to deliver engaging, seamless, and personalized customer experiences using bots across a variety of social media platforms. Competitor Analysis and Social Listening It's not enough to just know who your competitors are. If you want to get an advantage over them, you need to analyze their social media strategies, find out their weaknesses, and determine what they think. The manually searching and analyzing competitor pages can take weeks or months of grueling work., And, if you succeed in your analysis, there is a high probability that it will contain errors. But with the help of AI, you can easily track your competitors and analyze their social media strategies, reach, engagement rates, conversion rates, brand sentiment, and more. Various AI-powered competitive analysis tools monitor your competitors' social marketing efforts, from user interactions to posts and campaigns. It helps in knowing which parts require a more effective marketing strategy to achieve success. Artificial intelligence tools track mentions of your business, as well as specific hashtags and keywords related to you on social media. Analyzing this information will help you determine whether the public opinion of your brand is negative, positive, or neutral. You will be able to identify potential problems before they become more serious. Emerging AI Technologies in Social Media AI is about to take social media on a futuristic ride. We're not just talking about minor upgrades here - AI is changing the way we scroll, post, and consume content online. Different technologies like synthetic media, AI-created content, and virtual influencers are expanding the limits of what we can do online. Let's take a look at what insanely innovative experiences are coming next… Deepfakes You've probably seen those mind-bending "deepfake" videos going viral where celebrities or politicians seem to be saying and doing things they never actually did. Now creators can create stunningly realistic footage that pushes the boundaries of imagination thanks to artificial intelligence. Deepfakes also open up a world of exciting opportunities for creative self-expression and next-level storytelling through synthetic media. As the technology continues evolving, we'll see deepfakes enabling Hollywood-level visual effects that bring our wildest visions to life. Virtual Influencers This one's unquestionably innovative - companies are using AI to generate incredibly human-looking virtual influencers to advertise products on social media. We're talking lifelike computer avatars with their names, personalities, and millions of followers! Now, imagine the creative potential here. Brands can craft highly engaging, endlessly customizable digital personas to connect with audiences in new ways. Virtual influencers offer limitless brand ambassadorship and storytelling opportunities. AI Content CreatorsImagine telling an AI to whip up your next social media caption, graphic, or video ad...and having it generate something cleverly crafted in seconds. Using large language models and other AI tools, brands can augment human creativity. For content creators, this AI assistance will prove to be an amazing productivity multiplier and source of innovative inspiration. While not replacing humans, AI can elevate our creative visions to new heights while saving tons of time. Feed Personalization Of course, the biggest AI impact on social is automated feed curation. It further deeply understands our preferences to serve up a perfectly personalized experience tailored to each user's interests. This allows for a more rewarding, endlessly engaging social media journey of discovery and relevance. While some worry about filtered bubbles, smarter AI will also ensure we're exposed to a balanced variety of perspectives selected just for us. Conclusion There's no doubt to say that AI is completely changing the world of social media as we know it. From automated content creation to hyper-personalized feeds to wildly realistic synthetic media, this technology is rapidly transforming how we connect, share, and experience online. Artificial intelligence (AI) is making it easier for social media platforms to sort through vast amounts of data. It helps them spot the latest trends, understand what users like, block harmful content, and do much more. AI has a promising future in this space because it makes things better for users and helps brands cater to them more effectively. In social media marketing, AI is crucial because it allows companies to track how well they're doing and pinpoint potential customers.

How AI is Shaping the Future of Social Media

From shaping stories to simplifying complex articles to engaging in conversations that feel genuinely human, large language models (LLMs) are driving a new era of AI. In this article, we share our decade-long experience as an and dive into the world of LLMs, unraveling their innards and exploring how they’re reshaping the future of artificial intelligence. AI software development firm Let’s Kick It Off With the Basics: What Are Large Language Models? A large language model is an algorithm trained to recognize, summarize, translate, predict, and generate any form of text. How Do LLMs Differ From Traditional Language Models? Large language models fall under the umbrella of deep learning algorithms known as . It is the transformer architecture that helped surpass the limitations of traditional language models that have been around for years. transformer neural networks Traditional language models operated in a sequential manner, processing one word (or character) at a time and delivering an output once the entire input text had been consumed. While quite functional, these models had a notable flaw: they used to “forget” the beginning of a sequence by the time they reached the end. It all changed in 2014 when which was later popularized by Google. The attention mechanism enabled a paradigm shift from sequential processing, allowing a transformer model to perceive the entire sequence simultaneously. the attention mechanism was first introduced This revolutionized the machines’ understanding of context. By embracing the entirety of the input at once, the transformer model gains the ability to comprehend the nuances and complex relationships among words in a text. How Do LLMs Work Under the Hood? Large language models learn from data. The datasets used to train LLMs are massive. For example, OpenAI’s well-known and much-loved GPT4 is believed to have been trained on about 13 trillion tokens (think: basic units of text that a model can process.) The model gradually learns words, the concepts behind them, and the relationships between them. Once a model has learned enough, it can transfer its “knowledge” to solving more complex problems, like predicting and generating text. It is possible thanks to a two-component transformer architecture consisting of an encoder and a decoder: Once an input text is fed into a model, it is converted into tokens that can be parts of words, entire words, parts of sentences, or full sentences. The tokens are then converted into vector-space representations that preserve the initial token meaning. The encoder structures these representations, picking out important details and creating a context vector based on that. So, the context vector holds the essence of the entire input text. Based on the initial output and relying on the context vector, the decoder generates a coherent output, say, picking out the most suitable word to finish a sentence. By repeating this process, a transformer model can generate the entire passage word by word. Due to this extensive training process, LLMs are not limited to performing any specific task and can serve multiple use cases. These types of models are also referred to as foundation models. However, you can fine-tune the to perform a narrow task by feeding them small bits of data to focus on. foundation models How Are Large Language Models Used in Business? Large language models are proving to be valuable assets across sectors. Here are just a few use cases to give you an idea of what LLMs are capable of. 1. Chatbots and Virtual Assistants LLMs are driving the evolution of customer service and engagement. and virtual assistants powered by LLMs can handle complex inquiries, provide personalized recommendations, and engage in human-like conversations, enhancing user experiences and operational efficiency. Chatbots Energy companies, like Essent, deal with a consistent influx of customer service demands. Jeroen Roes, lead conversational AI program manager at Esse as its primary customer service tool for decades. nt, says that the company had relied on telephony However, in the face of intensifying competition and a surge in customer service requests, Essent recognized the need to reinvent its operations to maintain a competitive edge. The company saw an opportunity in LLM-based chatbots. By harnessing this innovative technology, Essent managed to meet the growing customer service needs. 2. Sentiment Analysis, Market Research, and Trend Prediction Businesses are leveraging LLMs for to gauge public opinion, track brand perception, and predict market trends. By analyzing vast datasets, LLMs help businesses make informed decisions, optimize marketing strategies, and stay ahead of the competition. sentiment analysis For example, Sprinklr, a social media management and customer engagement platform, . This assists businesses in monitoring and engaging with discussions related to their brand or product on social media. harnesses large language models for sentiment analysis Sprinklr’s platform analyzes social media data to identify sentiment patterns and provide valuable insights into customer behavior and preferences. 3. Content Generation LLMs are changing the old approaches to writing content. They can generate high-quality articles, reports, and product descriptions. Content generated by LLMs can be customized to fit specific brand voices, ensuring consistency and authenticity. Here are some noteworthy LLMs used for content generation across sectors: GPT-3, 4: These models excel in human-like dialogue generation, copywriting, translation, and many other language-related tasks. LaMDA: Google’s LaMDA is designed for engaging conversations and text generation, offering valuable applications in human interaction. Megatron-Turing NLG: A versatile language model, Megatron-Turing NLG is used for a wide range of text-based tasks and is particularly known for its strong support for multiple languages. DALL-E, Stable Diffusion, MidJourney: These models are experts in generating images based on textual descriptions, opening up new possibilities in creative content generation 4. Personalized Recommendations E-commerce platforms and streaming services are harnessing LLMs to deliver to users. These models analyze user behavior and preferences to curate content, products, and services tailored to individual tastes, enhancing customer satisfaction and retention. personalized recommendations For instance, Instacart, a grocery delivery service, utilizes LLMs to address nutrition queries and offer personalized product recommendations. Adopting LLMs for Business: Factors to Consider Incorporating large language models into your business operations is a strategic move that can yield significant benefits. However, it’s crucial to navigate this transformation thoughtfully and meticulously. Here, we delve into the essential factors you should consider when adopting LLMs for your enterprise. 1. Available infrastructure and resources LLMs are hungry for processing power, so they require a robust infrastructure. Before diving in, assess your current IT infrastructure and determine if it can accommodate the substantial computational demands of LLMs, or if an upgrade or expansion is necessary. Also, keep in mind that LLMs can be resource-intensive. As your business grows and your reliance on LLMs increases, scalability becomes pivotal. Ensure that your infrastructure is not just suitable for current needs but can also adapt to future ones. Scalability might involve adding more powerful servers, , or a combination of both. utilizing cloud-based solutions 2. Choose whether to go open-source or custom There are two common ways to adopt LLMs: fine-tune an open-source model or train a custom one. Your choice should align with your business objectives. Open-source models, like GPT-3,5, offer a cost-effective entry point for experimenting with AI-powered applications. They’re pre-trained on extensive datasets and can perform a wide range of language-related tasks. However, they may not be tailored to your specific needs, which calls for fine-tuning. If you require a competitive edge and greater flexibility, custom models are the way to go. They offer flexibility in deployment, allowing you to tailor the model’s structure, configuration, and size to your specific requirements and objectives. For example, if you run an e-commerce platform, a custom LLM can be trained to better understand product-specific queries and user interactions. 3. Weigh the available expertise and skills Successful LLM deployment relies on a skilled team. , , and are crucial assets. These professionals can fine-tune and optimize LLMs for your specific use case, ensuring they meet your business objectives effectively. Natural language processing machine learning deep learning experts And if you lack in-house expertise, consider partnering with . Specializing in crafting AI solutions, they can provide the necessary skills and guidance. generative AI services providers 4. Make sure to consider data governance and compliance requirements Businesses operating in healthcare, finance, and other regulated industries adhere to strict data privacy regulations. Consequently, when implementing LLMs, they must pay attention to data governance and compliance. Establish robust and compliance measures to safeguard user data and maintain trust. Encryption, access controls, and audit trails are essential components of data protection. Ensure that your LLMs comply with industry-specific regulations, too, like . data governance policies HIPAA in healthcare Challenges and Risks Associated With LLMs While LLMs offer remarkable capabilities, they also present challenges that businesses must be aware of. Here, we look at these challenges and offer solutions to ensure successful LLM implementation: Challenge 1. Bias in training data LLMs learn from vast datasets, but these datasets may present in the original sources. As a result, LLM-generated content may unintentionally perpetuate or amplify this bias. contain bias : Regularly audit and fine-tune LLMs to identify and remove bias. Implement bias detection algorithms and guidelines during model training to reduce skews in the output. Mitigation Additionally, consider diversifying the training datasets to minimize inherent bias. Challenge 2. Data privacy and security concerns LLMs often handle sensitive customer data or proprietary information. Inadequate security measures can result in data breaches. : Implement stringent , including encryption of sensitive data, access controls to restrict data access to authorized personnel only, and compliance with relevant data protection regulations (e.g., GDPR, HIPAA). Regularly update security protocols to stay ahead of emerging threats. Mitigation data security measures Challenge 3. Learning curve and employee resistance Employees accustomed to traditional workflows may resist the integration of LLMs, to their roles. viewing them as disruptors or threats : Invest in comprehensive training programs to upskill employees and familiarize them with the LLM technology. Implement change management strategies that involve employees in the transition process and emphasize the benefits of LLMs in enhancing efficiency and productivity. Mitigation Challenge 4. Risk of overreliance Heavily relying on LLMs, especially when it comes to generating messages for business communication, can dilute brand authenticity and creativity. : Strike a balance between automation and human creativity. Use LLMs as tools to aid and augment human creativity rather than replace it. Continuously review and edit LLM-generated content to align it with your brand’s unique voice and values. Mitigation To Sum It Up Large language models are powerful tools that hold the promise of driving innovation, enhancing customer experience, and optimizing operations. Understanding the intricacies of LLMs and the considerations for their adoption is vital for businesses seeking a competitive edge. If you are considering embarking on the LLM journey and exploring the limitless possibilities they offer, we are here to help! , and we will answer any unanswered question and help you embrace the future with LLMs. Reach out to ITRex Group

Here's What Every Business Should Know About Large Language Models

বড় ভাষার মডেল সম্পর্কে প্রতিটি ব্যবসার যা জানা উচিত তা এখানে

Hier erfahren Sie, was jedes Unternehmen über große Sprachmodelle wissen sollte

Esto es lo que toda empresa debería saber sobre los modelos de lenguaje grandes

Voici ce que chaque entreprise devrait savoir sur les grands modèles linguistiques

यहां बताया गया है कि प्रत्येक व्यवसाय को बड़े भाषा मॉडल के बारे में क्या पता होना चाहिए

大規模言語モデルについてすべての企業が知っておくべきことは次のとおりです

모든 기업이 대규모 언어 모델에 대해 알아야 할 사항은 다음과 같습니다.

Aqui está o que toda empresa deve saber sobre grandes modelos de linguagem

Вот что каждый бизнес должен знать о больших языковых моделях

İşte Büyük Dil Modelleri Hakkında Her İşletmenin Bilmesi Gerekenler

Đây là những điều mọi doanh nghiệp nên biết về mô hình ngôn ngữ lớn

以下是每个企业都应该了解的关于大型语言模型的知识

Raising money via Venture Capital (VC) firm investment can be a challenge. A VC typically sees 2k potential investments by email per year, takes into consideration for a meeting 1 per business day (250 per yr), and amongst all the next “Uber for umbrellas”, will somehow narrow down to 5 bets (per yr) that they think will emerge as billion dollar companies within the decade. A VC is looking for signals that qualify you as a founder capable of charting a clear path for your startup to transform into a billion dollar company. Nothing less. Once you, startup founder, signal that your path is unclear, a VC will most likely remove you from investment consideration. I would like to share with you a 3 question inquiry that I like to advise founders ask of themselves and their startup in order to better position themselves into the 15% of companies that will receive serious consideration for venture capital investment. 1. Do I Understand the VC Asset Class and Perspective? Why I Need to Scale. As a founder you are out here grinding, no doubt, trying to convert investor and customer noes into yeses that - if skilled enough and forces align - will eventually turn into a billion dollar company. VCs are founders too – they had to at one point weather a storm of a thousand noes just like you are enduring now, but in their case from elusive financiers called Limited Partners (LPs). The few LPs that commit with a yes and a check to VCs serve as the financial foundation for their fund to exist. For their LPs to continue making cash commitments to their fund, VCs must produce resounding results - Limited Partners (LP) expect their VC partners to achieve a 3-5x net return objective per fund - otherwise, you guessed it, the VC fund loses their LPs and the VC fund goes bye bye! 3-5x is hard to come by! 65% of venture deals return less than what was invested – this means that of the aforementioned 5 bets per year example in our opening paragraph, only 1.5 startups return more capital than invested in them. VC investment portfolios are littered with former billion dollar .  So how do VCs succeed? Funds that are successfully producing 3-5x returns closely align with the – whereby 80 - 90% of the returns come from less than 20% of their investments. super founders that lose VCs millions Pareto Principle A figurative example of a smaller size fund demonstrating 5x success under the Pareto Principle: ACME: Fund I – Over 4 Years $20 Million (5 Startups per yr over 4yrs) $5M per yr ($1M per startup) 1/5 portfolio produces meaningful returns = 4 Startups, $4M Investment base *Removed mgmt. fees, follow-on, and dilution for easier math To achieve a 5x or $100M return for ACME Fund I we would need four 25x type outcomes or two 50x outcomes. In the VC asset class returns have binary outcomes, you typically either lose your investment or hit a home run. Anything in between isn’t worth the scratch. As a founder, if you can clearly communicate that you can hit a home run, you will become a serious candidate for investment. 2. Am I Building a Predictable Customer Acquisition Model? Contrary to popular belief and VC Twitter, VCs do not invest in people, products, or just technology; they invest in predictable businesses that can scale in value that also happen to be supported by people, products, and technology. A predictable business is a business with predictable paying customers. You can determine if you have predictable customers if your customer acquisition model starts to look predictable. By cleanly describing how you are going to acquire customers in a customer acquisition model, you are describing where the return on a VC’s investments will come from. A customer acquisition model should answer the following questions: What are my customer demographics (age, occupation, geography, etc)? How many potential customers can I acquire X over Y time at Z cost? What is my customer acquisition cost CAC vs lifetime revenue per customer - LTV? What part of my customers day am I purchasing (commute, at work, home, lunch, recreation, etc.)? What channels will I use to acquire customers (events, referrals, search/display, affiliate, influencer, email, phone, etc.)? Once you are able to define what your customers look like, how they act, where they are going to come from, and how much it is going to cost for them to produce revenue for your business, you are beginning to provide a model for where the return on your VC’s investment will come from. 3. Is My Startup Demonstrating the Potential to Scale Towards Becoming a Billion Dollar Company? Demonstrate the ability to scale by showing that your customer base is growing faster than you can fulfill the orders. Your business shows ability to scale in value when your predictable paying customers grow and generate revenue at a faster rate than the resources required to acquire them. Remember, a VC’s investment is just an additional resource to produce greater returns for your business. A customer acquisition model begins to demonstrate scale: Pre Revenue = Waitlist for your product/service 20% MoM growth in revenue and/or customer acquisition - almost at capacity to fulfill orders Customer growth is predictably derived within demographic pools (age, occupation, location, etc.) Customer Acquisition and Revenues increase comparative to costs LTV:CAC ratio begins to approach 3:1 Your product/service is occupying a specific segment of a customer demographic pool’s day (commute, at work, home, lunch, recreation, etc.) Multiple customer channels are producing a growing customer base (events, referrals, search/display, affiliate, influencer, email, phone, etc.) The more predictable and scalable your customers are, the more predictable scalable returns are for your business and the VC’s investment. The larger the predictable returns your business’ customers will generate, the more investment ready your business will be. -     -     - Of course, demonstrating that you and your startup can answer these 3 questions successfully and hit scalable metrics does not guarantee that you will receive VC investment or continue to sustain scalability to become a billion dollar company.  However, this 3 step inquiry into your business will most certainly provide you with a better opportunity, than the majority of competing startups, to shape a predictable and scalable business that will receive a closer look by VCs. by Damien Amey 3X Startup Founder, Frmr Booshaka/Sprinklr CXM

3 Questions Founders Should Answer to Scale and Raise VC Investment

This article and the repo referenced here is intended to help Data Scientists and data processing professionals to handle and manage data related to the COVID-19 disease outbreak. I hope this information helps researchers to find new ways of analysis to defeat the COVID-10 disease outbreak, as well as empower them to solve more complex math calc using less time. We all know how necessary is to have a trusted analysis of the situation. Today the most accurate data in terms of global information is coming from WHO.int. Unfortunately the use of the API explained here is not licensed on any form so you must use it at your own risk. The repo exposed here, the author and the tools used here are not related to WHO.int. DISCLAIMER: QCObjects Collab is licensed under LGPL v3 and the terms explained in this LICENSE :::notes Keep in mind these are not only numbers, they are lives, they are people that we wished to save but we couldn't! They are people that we want to save using the resulting data of the fault. As a researcher you must keep focus always in data but as a person you also have feelings and a soul. Please remember that when you show your analysis to the public. ::: Connecting to the API of WHO.int The API of WHO.int used on this repo has public access and it is not licensed in any form. You have to use it at your own risk, with no warranty of uptime. Try not to abuse of the requests made to this API, it is recommended to only do a request once a day and save the response to a temporary file to not overuse and/or cause overload. There is not any individual data or private data of people present here. Please use this information only for research purpose. Connecting to the API and extract data To connect to the API using cURL, create a shell file named and put inside the following code: ./get-covid-19-data.sh curl 'https://dashboards-dev.sprinklr.com/data/9043/global-covid19-who-gis.json' \
  -H 'authority: dashboards-dev.sprinklr.com' \
  -H 'accept: application/json, text/plain, */*' \
  -H 'user-agent: QCObjects Collab for Data Science' \
  -H 'origin: https://covid19.who.int' \
  -H 'sec-fetch-site: cross-site' \
  -H 'sec-fetch-mode: cors' \
  -H 'sec-fetch-dest: empty' \
  -H 'accept-language: es-ES,es;q=0.9,en;q=0.8' \
  -H 'if-none-match: "23ffd2d307702788a8553819a1431d24"' \
  -H 'if-modified-since: Mon, 18 May 2020 01:15:19 GMT' \
  --compressed # file: ./get-covid-19-data.sh download the file ./get-covid-19-data.sh from here https://github.com/jeanmachuca/qcobjects-covid-19/blob/master/get-covid-19-data.sh Installing QCObjects Collab for Data Science To work with the data, you can use that is a Open Source Engine that helps Data Scientists to automate data processing and collaborative analysis tasks. QCObjects Collab for Data Science QCObjects Collab uses a collaborative shell to do advanced math calc using ssh or unix-socket. Installing QCObjects Collab from Docker To use QCObjects Collab from a Docker, you can pull the image from (this is the most stable running solution) quickcorp/qcobjects-collab docker pull -a quickcorp/qcobjects-collab && docker run  -it --name qcobjects-collab --rm -it -p 10300:10300 quickcorp/qcobjects-collab Connecting to QCObjects Collab from external systems You can use a TCP socket to connect yourself to the engine: ssh nc user@ 0.0 .0 .0 0.0 .0 .0 10300 You can also use a Unix Socket to connect yourself to the engine: ssh user@0.0.0.0 nc -U /tmp/qcobjects-unix-socket (change "user" for whatever your username is!) If you are trying to access the server from the same machine you can use the IP 0.0.0.0 or if you're trying to access it from an external network terminal you must use the corresponding IP and default port is 10300. Start QCObjects Collab in your local machine using NPM/NPX To start using QCObjects Collab from your local machine without the need of starting a remote/cloud server, you need to have Node.js installed. Download and install Node.js from . here Once you have installed Node.js, you can use to call QCObjects Collab straight away in your shell console. npx > npx qcobjects-collab Start QCObjects Collab in your local machine using QCObjects If you either own a copy or have installed or you can run QCObjects Collab directly from a command line. QCObjects Community Edition QCObjects Enterprise Edition To install QCObjects just follow the steps here To start QCObjects Collab from a command line, after installing QCObjects, just do this: > qcobjects-collab Processing COVID-19 Data using QCObjects Collab Once you have done the above steps, everything turns easy and handy. Inside the QCObjects Collab session, you can follow these instructions. Run .help to view the available commands and shortcuts > qcobjects-collab QCObjects Collab> .help Run .loadcmd_json command to extract the collected data into a variable You can run the following command to extract the collected data from the response of executing the shell command into a variable stored in memory inside the QCObjects Collab session. ./get-covid-19-data.sh Enter to a QCObjects Collab session and do the following command: QCObjects Collab> .loadcmd_json covid = ./get-covid-19-data.sh The above command will save the response of the API into a global object called . Then you can use this object to process the data and make calc to reduce the result. covid Using examples of data processing The file inside this repo, called contains some quick start examples of processing the data. Here are some explanations of this examples: data-covid-processor.js Helper functions As QCObjects Collab is been written on JavaScript, you can enrich your runtime code using it, by example: creating runtime helper functions attached to the common Array prototype. Two useful functions to process data are (to collect only once for every single value element using ) and (to show a table representing the current list using ) unique objectList.unique() table objectList.table() .prototype.unique = { .filter( self.indexOf(value) === index)} .prototype.table = { .table( ) } //helper functions Array ( ) function return this ( ) => value,index,self Array ( ) function console this Formatting the columns The most efficient way of process a list in JavaScript is using the map function. You can use it into QCObjects Collab to process , and objects (ArrayList and ArrayCollection objects are a part of QCObjects core framework and QCObjects SDK, that are automatically loaded into the QCObjects Collab session). Array ArrayList ArrayCollection The API returns a tree object that contains three separate collections ( , and ) dimensions metrics rows |-- covid
     |-- dimensions
     |-- metrics
     |-- rows To view the content of the variable just enter its name into QCObjects Collab and press . covid Enter QCObjects Collab> covid QCObjects Collab> covid.dimensions QCObjects Collab> covid.metrics QCObjects Collab> covid.rows.slice( , ) 0 10 // only get 10 rows If you concat the elements of and in the same order as they are collected, you can have a column name dictionary. dimensions metrics To create a variable that stores the name of the columns of the COVID-19 WHO API data, do the following: columns columns = [ ].concat(covid.dimensions.map( dimension.name).concat(
  covid.metrics.map( metric.name))) // format columns "" => dimension => metric Changing the structure of the data using the columns collection. You can map and store it into another variable called which will contain the new structure based on . covid.rows data columns data = covid.rows.map( [{}].concat(row).reduce( { .assign(accumulator, {
      [columns[index]]: colData
    })
})) // format data using columns => row ( ) => accumulator, colData, index return Object Get a dictionary of country names from the API collected data To build a dictionary of country names you have to do the following: countries = data.map( d[ ]).sort().unique() // Obtain only unique country names => d "Country" The above code will create a collection with data object mapped with a lambda function (d => d["Country"]) that only returns the property of every element. Then, it will sort and filter the list to return only the unique elements. countries Country Calc the total amount of deaths in the world caused by COVID-19 disease The following code maps the data to only return the Deaths property of every element, then reduces the data to to a signle value containing the total amount of deaths accumulated in the world caused by COVID-19 disease. cumulativeDeaths = data.map( d[ ]).reduce( cumulative + deaths) // reduce the data to get total sum of deaths worldwide => d "Deaths" ( ) => cumulative, deaths Re-usable function to calc deaths by country The following code defines a function called that accepts one parameter with the country value to filter the list, then map the filtered result to only get the property on every element and reduce the list to a single value with the sum. getCumulativeDeathsByCountry Deaths getCumulativeDeathsByCountry = data.filter( d[ ]===country).map( d[ ]).reduce( cumulative + deaths) // a helper function to calculate deaths by country ( ) => country => d "Country" => d "Deaths" ( ) => cumulative, deaths To use this function you can do the following: cumulativeDeathsOfUSA = getCumulativeDeathsByCountry( ) "US" Get the summary of deaths by country The following code will create a single object with the summary of deaths by every country on the data cumulativeDeathsByCountryObject = countries.map( { {[country]:getCumulativeDeathsByCountry(country)}}).reduce ( .assign(prev,current)) // calculate cumulative deaths by every country => country return ( ) => prev,current Object To summarise the data into a list of objects with the pair country -> amount , do the following: cumulativeDeathsByCountry = countries.map( { { :country, :getCumulativeDeathsByCountry(country)}}) // calculate cumulative deaths by every country => country return "Country" "Deaths" orderedDeathsByCountry = cumulativeDeathsByCountry.sort( current.Deaths > prev.Deaths ? : ) // order the list of deaths by country by descendent (most deaths first) ( ) => prev,current 1 -1 You can find a complete example of the data processing in this file: https://github.com/jeanmachuca/qcobjects-covid-19/blob/master/data-covid-processor.js The complete example repo for this tutorial is here: https://github.com/jeanmachuca/qcobjects-covid-19 Wash your hands, keep social distancing... Be safe! Previously published at https://github.com/jeanmachuca/qcobjects-covid-19/blob/master/README.md

How to Process Pandemics Data from WHO.int

Top 50 App Development Companies: 50 Brands to Look Out For

Ever-growing business requirements and technology evolution make companies chase sophisticated software solutions that should be both powerful and attractive for end-users. Apart from the need to keep in step with tech trends, organizations also have to take care of their up-and-running systems, as well as ensure the cohesion and integrity of the IT environment. While solutions and IT ecosystems become more intricate, the risk of drawbacks within the software lifecycle augments substantially. As a result, companies constantly face a variety of software-related issues ranging from small bugs to severe code flaws that may harm the entire business. That’s why it is critical for every organization to not only focus on the software development process itself but also prioritize software quality assurance and testing activities that guarantee the following important aspects: · The implemented software performs well and fits business specifics optimally. · The software doesn’t contain vulnerabilities or security flaws, thus ensuring a safe work and robust protection of sensitive data. · The software matches users’ expectations and enables them to fulfill daily activities with the minimum effort. If you are looking for the optimal tech partner with the relevant software testing and QA expertise, here is the review of 30 companies. Each company was ranked according to a predefined set of criteria: online reviews, market presence, geographic strategy, industry experience, customer experience, portfolio. Each provider has its strengths, so you are welcome to find the one that fits your needs and budget best. 1. QualiTest QualiTest is a Software Testing Company that delivers quality assurance and software testing services. Advancing testing methodologies is the distinguished feature of the company. QualiTest strives to provide superior QA solutions and improve their customer’s software quality. 1997 Founded: USA Location: 1000–9,999 Employees: Philips, Microsoft, Intel Major Clients: Mobile Testing Services, Website Testing, Cyber Security Testing Core Services: Website: https://www.qualitestgroup.com/ 2. A1QA A1QA.com has delivered more than 1500 projects to the customers worldwide. Highly qualified staff provides independent software QA and testing services in various industries. The company is constantly improving their automated, manual and security testing methodologies to anticipate any changes in the field. <a href="https://medium.com/media/7403e222cbf5136c6b8f959dc3cd1e6d/href">https://medium.com/media/7403e222cbf5136c6b8f959dc3cd1e6d/href</a> 2003 Founded: USA Location: 250–999 Employees: Adidas, SAP, Acronis, Kaspersky Lab, Pearson, Telekom Austria Group, National Bank of Jamaica Major Clients: Application testing; Cybersecurity Core Services: 25$-49$ Rate per hour: Website: https://www.a1qa.com/ 3. Cigniti Technologies Limited Cigniti is a Software Testing Company with offices in India, USA, UK, South Africa, Canada, and Australia. The company provides enterprises with high-quality expertise and service. Offshore test execution and quality control procedures are the distinguished features of the company. 1998 Founded: USA Location: 1,000–9,999 Employees: Atom Bank, Subway, Southwest Airlines, Bank of America, Snapdeal, Hertz, HP, Ryanair Major Clients: Quality Assurance, Quality Engineering, Digital Assurance, Advisory Core Services: Website: https://www.cigniti.com/ 4. QATestLab QATestLab was founded in 2005 and has been delivering high-quality service for more than 10 years. The professional staff is ready to meet the challenges to ensure the best possible result in a variety of industries including E-commerce, Healthcare, Mobile, Media, and Entertainment, Training and Education. 2005 Founded: Ukraine 50–249 Location: Employees: Jobalign, Bosch, Shell, Snap, G5Games, Sweetrush, Wargaming.net, Cinemagram Major Clients: Manual Testing, Test Automation Core Services: Website: http://qatestlab.com/ 5. Abstracta Abstracta improves customers’ processes by implementing software quality engineering and testing. With 10 years of experience, the company applies cutting-edge tools to its projects in financial, retail and other technology-driven spheres. The agile partnership model is the company’s prominent feature. 2008 Founded: USA Location: 50–249 Employees: PedidosYa, Shutterfly, GeneXus, Republica AFAP, BBVA Major Clients: Test Automation, Mobile Testing, Performance Testing, Software Testing Core Services: $50 — $99 Rate per hour: Website: https://abstracta.us/ 6. QualityLogic QualityLogic combines a flexible service model and software testing procedures to deliver the best services to its customers. Technology experts from the company implement adaptable and scalable engagement model into the working process with in-house customers’ team. 2002 Founded: USA Location: 250–999 Employees: IBM, Broad Vision, Adobe, Riverdeep Major Clients: Automation Testing, Mobile QA, Manual Testing, Security Testing, Performance Testing, API Testing Core Services: $25 — $49 Rate per hour: Website: https://www.qualitylogic.com/ 7. Testlio Testlio is serving its clients by implementing Testing as a Service model. The company helps to launch customers’ products adhering to 4 main principles: devotion to improving QA practices, commitment to consolidate testers community, meeting the highest standards in work and cooperate with reliable apps providers. 2013 Founded: USA Microsoft, Hotels.com, USA Today, OfferUp, Flipboard, Grammarly, GoDaddy, CBS Interactive, Vimeo Location: Major Clients: Mobile Testing, Functional Testing, Localization Testing, Automated Testing Core Services: Website: https://testlio.com/ 8. Ubertesters Ubertesters ensures the best launch of the product by providing mobile and web applications beta testing with a cloud-based, process management tool. Ubertesters professionals help organize and monitor the whole beta testing process for high-quality results and a perfectly working mobile and web apps. 2012 Founded: USA Location: 50–249 Employees: Verizon, T-Mobile, Orange, Houzz, Golf, Intuit Major Clients: Application Testing, Application Management & Support, Cloud Consulting & SI Core Services: $25 — $49 Rate per hour: Website: https://ubertesters.com/ 9. Zymr Zymr offers expertise in product engineering and product support services. The company combines agile development culture with software development standards. Professional staff will the proven previous achievements focus on the customers’ needs and the requirements of end-users. 2012 Founded: USA Location: 50–249 Employees: ILearn2Trade, Vodafone, Nimbler World, FixStream Major Clients: Product Engineering Services, Product Support Services Core Services: $25 — $49 Rate per hour: Website: https://www.zymr.com/ 10. QA Mentor QA Mentor professionals work in all time zones which guarantees anytime customers support. The distinguished feature of the company is a testing laboratory with more than 200 browsers and operating system combinations. The company uses its own special methodologies to ensure the highest quality of software testing. 2010 Founded: USA Location: 50–249 Employees: Zyto, HSBC, Citi, Hitit, Sterling, Morgan Stanley, DivisionOf, GameCloud, Chefmod, GrayHair, Nicopanda Major Clients: Agile QA Services, Automation QA Services, Security Testing Core Services: < $25 Rate per hour: Website: https://www.qamentor.com/ 11. QA InfoTech QA InfoTech is committed to delivering top-notch solutions for its clients. The company applies best practices and strategies to everyday activities and procedures. Client’s needs and goals are their main priority. 2003 Founded: India Location: 1,000–9,999 Employees: Fortune 500s to start-up companies Major Clients: Functional Testing, Automation Testing, Mobile Testing, Performance Testing, Security Testing, Usability Testing, Cloud Testing Core Services: < $25 Rate per hour: Website: https://qainfotech.com/ 12. ThinkSys ThinkSys offers tailor-made solutions for its customers. The company is the place where new software testing methodologies are developed. The professional staff strives to increase the productivity of their customers’ business processes and help to meet their client’s business aims. 2012 Founded: USA 50–249 Location: Employees: Shutterstock, WealthSage, Allegro, BlackBox, BayTech, ProActive Major Clients: Functional Testing, Security Testing, Usability Testing Core Services: Undisclosed Rate per hour: Website: https://www.thinksys.com/ 2012 Founded: USA Location: 50–249 Employees: Shutterstock, WealthSage, Allegro, BlackBox, BayTech, ProActive Major Clients: Functional Testing, Security Testing, Usability Testing Core Services: Website: https://www.thinksys.com/ 13. Testbytes Testbytes is a group of software testers who deliver the best results applying up-to-date software testing methodologies. Reusable automation frameworks, templates, and repositories are the key factors shaping the company’s success. 2011 Founded: India Location: 50–249 Employees: Avalara, Fixle, Taskr, iProgrammer, LearnPick Major Clients: Game Testing, Automation Testing Core Services: < $25 Rate per hour: Website: https://www.testbytes.net/ 14. QASource QASource concentrates on customized solutions and quality assurance services helping their customers’ control the whole process and expected results. Company’s quality assurance services help to anticipate and avoid any risks connected with the testing process. Being among the leading software QA providers, QASource professionals make every effort to deliver high-quality software testing services serving their customers’ needs. 2002 Founded: USA Location: 250–999 Employees: IBM, Broad Vision, Adobe, Riverdeep Major Clients: Automation Testing, Mobile QA, Manual Testing, Security Testing, Performance Testing, API Testing Core Services: $25 — $49 Rate per hour: Website: https://www.qasource.com/ 15. TestingXperts TestingXperts is the company that combines the knowledge of major business processes and the best software development practices. The company strives to exceed the customers’ expectations by providing high-quality Functional and Non-Functional testing and Professional Expertise for Mobile and Cloud Technology. 1996 Founded: USA Location: 50–249 Employees: TestPlant, Query Surge, Smart Bear, Perfecto Mobile Major Clients: Functional Testing, Non-Functional Testing, Specialized Testing Core Services: $50 — $99 Rate per hour: Website: https://www.testingxperts.com/ 16. Testhouse Testhouse has been providing functional and non-functional test services for 17 years. The company specializes in Software Quality Management, Application Lifecycle Management (ALM) and DevOps. Testhouse applies its expertise to a wide range of domains helping its customers to anticipate any risks. 2000 Founded: India, UK Location: 51–200 Employees: Purple Bricks, FlyBMI, DoveTail Services, Emirates NBD Major Clients: Managed Testing Services, Functional Testing, Security Testing, Mobile Testing, Performance Testing, Test Automation Core Services: Website: https://www.testhouse.net/ 17. BugRaptors BugRaptors delivers innovative solutions for obtaining optimal business results. They evaluate the customers’ needs in details before working out the full software development lifecycle. They offer a wide variety of services to exceed the customers’ expectations. 2016 Founded: India, USA Location: 250–999 Employees: the UK and US-based clients Major Clients: Standardised QA Services, Automation Testing Services, Specialized QA Services, Test Consultation Services Core Services: < $25 Rate per hour: Website: https://www.bugraptors.com/ 18. TestArmy TestArmy is a team of professionals offering Quality Assurance Consulting, Security Tests as well as Functional Testing and Performance Testing. Company’s employees support their customers from the start of the project and after launching the product. Certified testers are always ready to find the best solution to the client’s need. 2010 Founded: USA, EU Location: 50–249 Employees: Samsung Electronics, Philips, Yves Rocher, Empik, Nomtek Major Clients: QA Consulting, Functional Testing, Security Testing, Performance Testing, Test automation Core Services: $25 — $49 Rate per hour: Website: https://testarmy.com/ 19. Acutest Acutest pays special attention to customers’ business, technical and user requirements. Software testing, business processes. The company always gives emphasis to the main business activities of its clients for delivering excellent testing service and superior results. 2002 Founded: UK Location: 1–50 Employees: BBC, Costa, Appian, FT, HP, Dell, SAP Major Clients: Managed Testing Services, Specialist and Non-functional testing, Test Automation, Test Transformation Core Services: Undisclosed Rate per hour: Website: https://www.acutest.co.uk/ 20. KiwiQA Being highly experienced in a variety of industries, KiwiQA is a company that not only ensures complete test coverage but also constantly checks the accuracy of software performance. Quality assurance and testing service are characterized by the innovative approach and on-time delivery. 2009 Founded: India Location: 10–49 Employees: Mercury, Lodie, SimpleTix, KPMG, ZingHR Major Clients: Automation Testing, Performance Testing, Mobile Testing, Security Testing, Code Verification, Manual Testing Core Services: Website: https://www.kiwiqa.com/ 21. TestMatick TestMatick provides high standard mobile app and software testing services. Company’s team is ready to solve any existing problem and improve current customers’ processes by performing technical tasks of any difficulty. Flexibility and strive for excellence are the key features that determine their work. 2009 Founded: USA Location: 50–249 Employees: Hubrick, Subscribe Pro, Dahmakan, Improbable Major Clients: Mobile Testing, Functional Testing, Automated Testing, Usability Testing Core Services: $25+ Rate per hour: Website: https://testmatick.com/ 22. CresTech CresTech is a customer oriented software testing company providing functional and non-functional validation for software applications. The company puts stress on effective communication with its customers by identifying their key technical requirements and business needs. 2005 Founded: India 201–500 Location: Employees: Pearson, Adobe, CSC, Siemens, HCL, Intel Major Clients: Test Automation Solutions, Mobile Testing Solutions, Product Quality Management Core Services: Undisclosed Rate per hour: Website: http://crestechglobal.com/ 23. QAwerk QAwerk is a software testing company that applies its experience and expertise to a wide range of industries including electronic government, business automation, and data mining. Professional business analysts and testers guarantee the quality of all the processes as well as bug-free on time and budget work delivery. 2015 Founded: USA 50–249 Location: Employees: Hosting.com, ClearData, Cygnet Cloud, MarketOne, Elsewhen, Unfold Major Clients: Web Solutions Testing, Mobile Application Testing, Desktop Application Testing, Manual Testing, Automated Testing Core Services: $25 — $49 Rate per hour: Website: https://qawerk.com/ 24. TestFort Being the finalist of the European Software Testing awards 2016, TestFort QA Lab complies with the customers’ demand for excellence and professionalism. Its QA engineers have knowledge and expertise in manual and automated testing. The main goal of the company is to deliver exceptional software testing and QA services in different industries worldwide. 2001 Founded: Ukraine Location: 50–249 Employees: The Huffington Post, Symantec, Skype, RebelMouse, Dashlane Major Clients: Manual Testing, Automated Testing, QA Consulting Core Services: $25 — $49 Rate per hour: Website: https://testfort.com/ 25. Global App Testing Global App Testing is known for its customer-oriented approach. Company’s DevOps and Agile teams are in a constantly developing process aimed at improving working process quality and speed. Crowdsourced testing platform for mobile and web apps was created for boosting customers’ development. 2013 Founded: UK 51–200 Location: Employees: Evernote, Facebook, Instagram, Spotify, WhatsUp, LiveSafe Major Clients: Exploratory Testing, Test Case Execution, Mobile App Testing, Web App Testing Core Services: Website: https://www.globalapptesting.com/ 26. DeviQA DeviQA is a team of professionals in Quality Assurance and Testing. With over 10 years of experience and more than 100 clients, the company focuses on effectiveness and delivering reasonably priced Quality Assurance solutions. Transparency is their priority in the process of project teams set up. 2010 Founded: Ukraine Location: 50–249 Employees: Sprinklr, CipherHealth, LykeBox Major Clients: Full-cycle Testing, Automated Testing for Web, Test automation for Mobile, Performance/Load and Stress Testing Core Services: $25 — $49 Rate per hour: Website: https://www.deviqa.com/ 27. Codoid Codoid delivers top-level service providing its customers with a flexible team and quality control procedure during the whole process of testing. The company has been working successfully with companies of different sizes for more than 15 years and applied an integrated approach to its procedures. 2012 Founded: India Location: 50–249 Employees: Companies from different industries Major Clients: Application Testing, IT Strategy Consulting, Custom Software Development Core Services: < $25 Rate per hour: Website: https://codoid.com/ 28. Testrig Technologies Testrig works with the companies of different types and sizes. The company combines high-quality service and cost-effectiveness of the delivery process. Company’s employees do their best to simplify all the software testing processes as well as communication with the customer making it transparent and efficient. 2015 Founded: India 10–49 Location: Employees: Invezza Technologies, SEOSitecheckup, Cloudaeon, Avorra, BoardingSchoolReview, CompanyIQ Major Clients: Web and Mobile App Testing, Performance Testing, Security Testing, Automation Testing, Usability Testing Core Services: < $25 Rate per hour: Website: https://www.testrigtechnologies.com/ 29. iBeta iBeta delivers a wide range of software testing services including mobile testing and performance testing, acceptance testing and security testing. The company aims at customers who would like to outsource their testing quality activities and achieve effective results. 1999 Founded: USA 51–200 Location: Employees: Web Testing, Mobile Testing, Security Testing, Assessability Testing Core Services: Website: https://www.ibeta.com/ 30. UTOR The main goal of UTOR is to meet the customer’s needs. They work with companies of different sizes offering software testing services for the companies who do not have an in-house Quality Assurance department. The company is proud of its pioneering solutions designed for a particular customer. 2016 Founded: Ukraine Location: 10–49 Employees: Round Pegs, Itau, Lift and Squat Major Clients: Automation Testing, Performance Testing, Security Testing, QA audit Core Services: < $25 Rate per hour: Website: https://u-tor.com/

Top Software Testing Companies in 2019

Ben was one of the first hires at Product Hunt, and is now teaching people how to build an internet business without code at newCo. Davis Baer : What’s your background, and what are you working on? : I have a bit of a patchy background, I did international business with Mandarin in university, came out and ended up in Social Media Advertising for an agency and we were then acquired by Sprinklr. I quit and moved back in with my parents because I needed to ‘sort my life out’, worked for my dads law firm for a bit doing Social while I was getting my foot in tech. Ben Tossell I joined a few Slack channels and ended up feeling comfortable in Maker Hunt which Eric Willis was running. I offered to help him write out all the AMAs we were doing in Slack and publish them on Medium — it was hard! They were daily!!! I was hanging around trying to be helpful chatting to people and talk about projects. I saw Startup Stash and had spoken to Bram before, so I made my own version, Marketing Stack — with the help of Mubashar Iqbal. This went crazy on Product Hunt and ended up one of the top 20 upvoted products ever! I got recommended to Ryan Hoover, founder of PH, by Erik Torenberg and Bram (separately) and Ryan said “I think we should have a chat”. Needless to say I was shocked! But I had been trying to help with PH community Slacks too so it got me noticed. I got offered to join the team remotely, told me Dad I’m quitting and began my stint at PH. It was awesome. A young non-technical person at early stages of PH, seeing thousands of products launch daily, being a hunter across the internet myself too. I got to chat and help out people from Slack, Google, Facebook, Y Combinator, First Round and loads more! I wrote a bit about my time at PH here: There is a lot I could say about my time there but I’ll just say that it was a great opportunity, made me hungry to make more side projects and I love the people I worked with there! Massive thanks to Ryan. https://medium.com/swlh/2-months-working-at-product-hunt-a1e5fb7624e2 Since we were acquired I was growing tired of community management and was looking for more. I’d been launching side projects all the time but just couldn’t figure out what I wanted to do. I left PH and realised I’m not hugely qualified for anything specific except being a community manager, which I didn’t want to do. I’m more of a generalist. So I did some freelancing but client work is very difficult and not very consistent, it was a tough 9 months or so but I had a friend who was doing work with me which helped keep me sane. Diving more and more into I just knew I needed to productise myself and produce something I could control (win or fail). But WTF was I going to ‘productise’?! indiehackers.com What motivated you to get started with newCo? This led me to newCo. I’ve always made no-code projects instead of code because I always felt like I just wanted to get the 80% MVP built, not have to learn how a language works to then figure out my project needs. But I’m 100% behind building and shipping, if code is your tool, use it! I do want to learn to code. But I knew so many people out there either don’t want to, feel like they can’t or want to just validate their ideas quickly and easily. I knew I’d done this a lot so I thought I can do something here. Taking inspiration from laracasts, gorails and egghead I thought, I can build and film myself and see if people would pay to watch! Turns out they did. newCo screenshot What went into building the initial product? I set up a typeform with payment, imported my subscribers from articles I wrote like “Non technical guide to building side projects’ : sent an email out and asked for money! A few people paid. Then I decided to put together a landing page and make it look more official. This led to more sales. https://medium.com/startup-grind/the-non-technical-guide-to-launching-products-side-projects-1c5a9562fdb3 What’s your business model, and how have you grown your revenue? I charge people monthly, yearly or lifetime access to access premium content. I put out some free videos, some free curated resources and stuff, tweet and email people. I’m probably annoying a lot of people who I connected with over the years :) What are the biggest challenges you’ve faced and obstacles you’ve overcome? Charging from day one. But once you charge, you gotta ship videos otherwise you have to give their money back! No better motivator to keep me accountable. Also everyone hates the sound of their own voice, I just decided I dont care anymore haha. Making sure I can support myself is also a challenge I’m juggling at the moment! If you weren’t building newCo, what would you be doing? Flitting around getting rejections and thinking WTF am I even qualified to do?! What’s one thing that most people don’t know about you? I lived in China for 5 months for university (I know a few friends from PH that will get a kick out of me saying that — Ayrton, Andrew and Mike). Where can people go to learn more about you and newCo? Follow me on Twitter @bentossell and check out the site :) https://www.newco.app/ This interview is brought to you by , a tool to schedule and automatically repeat your posts on Facebook, Instagram, Twitter, Pinterest, LinkedIn, and Google My Business OneUp

Founder Interviews: Ben Tossell of newCo

“The job of management is not to select the best ideas; it is to create a system that allows for the best ideas to emerge” We are creatives by nature, so we believe that by each colleague having individual control over how, when and where they choose to do their work makes for more inspired outputs. Companies such as , and all have similar working practices, but as more and more companies strive to become more agile, this got us thinking: Here in the Lab , we have always championed a more flexible approach to work. Netflix Buffer Sprinklr Does this approach really work for everyone? How can you stop people taking it too far? Is it really possible to produce your best work from a beach in the middle of Thailand? In our latest TweetChat, we posed similar questions to the Twittersphere around this subject, because we are genuinely interested to hear more from people as it is such as hot topic. Here’s a roundup of some of our key points and insights…. This was an interesting question. Human beings are interesting, for while we are all biologically similar, we are also uniquely different. In terms of working anytime, the 9–5 used to be something that was desired, as was your own office, a PA, name plaque on your desk, that sort of thing. The world of work has moved on though and now it seems that the 9–5 format of some roles just doesn’t work. Its all down to circadian rhythms, or our ‘body clock’, which have a profound effect on our productivity — and explains why some people (ahem, me) are literally useless before 10.30am. The great thing to hear from the conversation was that many of you are aware of your own natural rhythm and already have the ability to organise your work day around this. I was pleasantly surprised that many people were like me in doing there best work in the evenings — maybe creatives are night owls — but the important point to recognise is that a flexible approach to work allows an organisation to get the best from their colleagues 100% of the time. As mentioned, there is a difference between being productive and busy — and it seemed for many that a prescriptive 9–5 culture meant colleagues were often more busy than productive. Ben What about location? Well, this was less of an issue to people when compared to a flexible approach on time. Historically, offices were generally designed with everyone in mind, which meant they worked for precisely no one — by which I mean that no one would choose to have an office designed in the way they do, mainly grey, functional and to put it bluntly, dull. It’s great to see so many organisations redesigning more creative and collaborative spaces, retaining the essence of what an office is meant to do, but putting a bit of ‘fun’ back into function. There was a general consideration that there will always be a core of people that need that discipline of coming into an office to be able to produce their best work, same as there will always be a core of people that find working in public really distracting. For now, office working is definitely not dead, but the old traditional ideas are being replaced by more a more refreshed approach. That’s an idea we can all get on board with. We all know that having the right kit for your role is crucial to an approach like this working, and there is a massive frustration that many people trying to work more flexibly can’t, either due to outdated kit or internal bureaucracy and security. Organisations need to make sure that when rolling this out, their infrastructure and hardware can support this style of working. It’s not as easy as issuing everyone with a standard Dell laptop and telling colleagues to crack on — it requires significant investment and time from your ICT departments, but for all the hard work and money, you should receive massive return on investment in colleague productivity, well-being and happiness! Now, I’m going to nip the technology one in the bud now, as its the obvious one. It’s a big barrier, but it’s the easiest to solve! Culturally, there are some huge barriers to overcome too. ‘Presenteeism’ is one that people mentioned countless times — I myself have overheard colleagues make snippy comments about others, including ‘how do they know if he/she is working?’ Now, this may be groundbreaking to some people but…. Naturally, although people may be working hard remotely, another barrier this presents is contacting colleagues and ensuring people don’t become isolated. Some examples people have were: Colleagues smashing through their to do lists with ease whilst working from their local Starbucks, but inconveniencing other peers by bombarding them with 1,000 emails, many of which may have actions Colleagues logging in after 10pm but frustrated that they can’t get an answer to their questions Colleagues not being available via email or phone when something important needs to be resolved I’ve always been curious about how Netflix challenged this barrier when implementing their contracts based on outcomes not hours. It’s quite easy to get people to adopt this way of working, but how do we challenge historic behaviours so these issues don’t arise? There will always be a time when you need to speak with a colleague, but how can this be managed when colleagues have the autonomy to manage their own working patterns? The points by and are crucial here to ensuring we mitigate those barriers as much as possible. Andy’s point is refreshingly honest — you can’t expect people to give you an instant reply, its just not feasible. There is also a point to be made that in some areas of work, agile working is just not an option. That’s not to say that it will never be an option — there are many tools already available for free that aim to bring distributed teams together. We’ve been using here in the Lab for the last few weeks and we really like it! Ultimately though, it comes down to strong leadership and open communication channels. This way of working won’t be successful if you haven’t got the right people driving it and embedding it into business culture. Andy Philippa Appear.In Flexible working arrangements require trust and clear standards to truly be successful and whilst many organisations can happily deal with the latter, it is often the former that is missing. hits the nail on the head in her comment about it meaning different things for different people. Colleagues know when they need a break but going back to Philippa’s early point about leaders, its also about knowing your team members and picking up any warning signs that they might be overdoing it. It’s very easy to spot someone who is being a bit too flexible (read lazy) when it comes to their work as the output just won’t be there, but whilst they are very few and far between, its the default position for many policies and procedures on flexible working! Too much attention is given to the 1% who might abuse it rather than the 99% who would embrace it and this needs to change in designing a service offering that works. It’s much more difficult to spot someone who is taking it too far and on course to crash and burn. People on the whole enjoy their work and want to do the best they can, so having a little faith and putting trust in them to make the right decisions is key, although make sure there is plenty of support available for those moments of crisis. Work/life balance is a really important topic but whilst treating employees like human beings may seem to be common sense, it is seldom common practice. Amy Trust, communication, openness, clarity — all really important values in creating the right culture for agile working, but by the same token, slow to build and easy to lose. This way of working does require organisations to be bold and hand over some of the control to their colleagues and that leap of faith can seem difficult but there are huge advantages to those who make it. Better quality outputs? You bet. Increased colleague satisfaction? Of course. Ability to make service improvements to customers? If you adopt a flexible working approach, there is nothing to stop you! The world is moving beyond 9–5 now and services that fail to keep up die. Many of our customers are working more flexibly themselves, so we need to make sure we can be there for when they need us, not when we think it is convenient. A flexible working approach means you can explore a greater range of opportunities. This is an important point — its not just colleagues who benefit from this approach, your customers do too. As we said before, for the foreseeable future at least, there will be some areas where this style of working just won’t work. Businesses need to adopt the right style for them and their culture, as this is ultimately what will drive it. I put it to you this way: “You cannot simply change a culture. What you can change are your own behaviours and your influence…” Adopt the right behaviours and the rest should fall into place easily. See you guys on 7th June 2018 for the next instalment! @ChelleKButler Comment Originally published at www.bromfordlab.com .

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