PERKS is a people support platform that provides a customizable solution to deliver the tangible aspects of company culture in a plug-n-play marketplace

PERKS

Hey there, Hackers! In case you haven’t heard, we launched the this week! official HackerNoon app We’ve been working hard for the past few months to make sure that the HackerNoon app is as good as it can be, and we hope you get the time to check it out - after all, there could be $1000 in it for you. https://youtu.be/GkvFAYrwWLo?si=3Z_dtmMoCsqxFyzt&embedable=true Take HackerNoon With You Anywhere You Go! You have likely already heard some buzz around HackerNoon about our new mobile app, but why should YOU care? Good question; here are a couple of cool things that are in store for you exclusively with the mobile app: 💌 Remember writers’ newsletters? HackerNoon users can now also subscribe to your newsletter in-app and stay up to date with your publications. No need to turn on a computer! E : xpand Your Newsletter’s Reach 💬 Engage with your readers and fellow tech enthusiasts, share insights, and dive into tech discussions without bypassing a human editor. Downloading the app gives you the freedom to share your insights, thoughts, and expertise directly with the community. Be part of tech discussions, all from the palm of your hand. : Comment Freely 🌐 Share your stories, skills, and expertise with the community. Connect with your subscribers and other like-minded individuals in the tech space. : Build Your Profile 📤 Easily share your stories with your community outside of HackerNoon using our diverse social sharing options. It’ll help you foster collaboration and expand your network. Share and Connect: 📚 We appreciate you as a writer, but the fact that you keep tabs on what’s being published on HackerNoon makes it even sweeter. So use our app to read and listen on the go, wherever you are! : Enjoy Our App as a Reader And that’s just the start: (it’s totally free!) and see why we’re so pumped to have the HackerNoon app out and in your hands finally. . Check out the app for yourself on and iOS Android Read up on the rest of the app’s features here And while we’re really proud of everything we’ve accomplished with the app, it can always be better. That’s where you come in. Review Our App For Your Chance To Win Some Money How does winning $1,000 sound? Sounds pretty good to me! , fiddle around with it, read some stories, and let us know what you think. Love it or hate it, we want your feedback so we can make it better. Doing so (and taking a few steps to make sure you’re a real member of the HackerNoon community) will put you in the running for a $1,000 prize. Pretty cool, huh? . Download the HackerNoon app Learn more here Also, don’t forget to upvote our app on if you like it! Product Hunt CI/CD? How About, See-Some/Mo-ney? The DevOps Writing Contest Is Still On! If you’ve got something to say about DevOps, then we’ve got just the thing for you. is in full swing, and we’ve got $18,000 in Total Prizes to hand out, paid monthly through January 2024. That’s a whole lotta money and a whole lotta time that you’ve got to write something good! The DevOps Writing Contest by Aptible Round 2 is finishing up at the end of the month, with round 3 . So get in there and let us know all your thoughts on IaaS, PaaS, Automated Deployment, Containerization, Microservices, CI/CD all that other DevOps goodness. There’s a lot to write about and you never know what might be the next hit story! starting on October 1st Start writing right away with this neat template we made! Stuck in a Writing Slump? Writer’s Block Getting the Best of You? Here’s a Writing Tip. Sometimes, the best thing you can do for your writing is to stop writing and go take a walk. Seriously, go take a walk. Studies show that walking boosts those creative juices and gets the brain refreshed and ready to start writing your next masterpiece. If you don’t believe us, take it from our community. Some of our writers have written about this phenomenon in the past, like our frequent contributor in Joachim Eeckhout . How to Defeat Procrastination via Walking However, in case that fails, check out some of our , , , and stories to get those inspirations and creative juices flowing. tech AI cybersecurity programming That’s it from us! Thanks, Hackers. See you in cyberspace! (and the app!)

The Perks of Being a Writer: a Mobile App, Writing Contests and Whole Lot of Money

Starting Point: Where a Leader Begins Leadership manifests itself one way or another almost immediately. In my case, the managerial nature began to emerge in the second year of my professional path. First, it was expressed in understanding how to organize and optimize processes. My sensitive team leader noticed this, and I already had my own team for the next project. The climate within the team was friendly, and it showed me that leadership is quite an exciting job. Later on, I was surprised to read stories about tension and toxicity in other companies and realized how smoothly we managed to build bonds within the team. In a few years, I was given the opportunity to be the manager of the QA area, where I was involved in hiring. At the same time, I had to close the tasks of a business analyst, which allowed me to communicate closely with the client and develop my communication skills. Because the client was from the US, I became deeply involved in the study of Western business culture. I came to understand their way of thinking, values, the intricacies of communication, and how they respond to us and our culture in general. The skill of cross-cultural communication is a must-have and not only when working in a global company. You, as a leader, are simply obliged to have a broad outlook, which makes your toolkit more comprehensive. Why Leadership Feels Good I really enjoyed being a QA lead. First, I'm pretty good at testing, as far as my teammates’ feedback is concerned. In addition, there comes a certain point in your career when you are ready to pass on the gathered experience to others — it is a pity to keep it to yourself; therefore, it should live on via colleagues. After all, each stuffed cone is a specific lesson that translates into a solution. So, almost without noticing it, I began to grow my team and nurture each of them. The curious thing is that if you are a born leader, the circumstances are shaped so that you will certainly fulfill yourself. The main thing is to grab the opportunity by the tail on time. It feels good to choose tasks for yourself: put aside routine, monotonous things and plunge into non-trivial problems. Routine and repetition are present in any job, and these tasks are best for those who require practice, and here you need to have a clear idea of ​​​​who to delegate such tasks to. If we draw analogies, then the work of a leader is like sailing through a rough sea in a small boat that climbs the next wave. Each problem has an open end and many unknowns. And when in such conditions, you are surrounded by a team in which trust reigns, you can overcome any storm and manage to get pleasure at the same time. Interesting Because It's Difficult Communication is the most important yet hardest aspect of a leader's career. Here, again, the predisposition to interact with people plays an immense role. In my opinion, a good leader is an empathic human being who subtly feels, reads the emotions of people, and most importantly, knows how to handle them carefully. In pursuing this, corporate training on emotional intelligence really helped me a lot, and I use this knowledge daily. Understanding your team and indulging are not the same. The work is not about the satisfaction of any one side. This is a kind of waltzing around the team, client, and management, where a partner wants to achieve their specific goals. The leader’s mission in this dance is to build a system to make each one happy, which is my definition of project success. In other words, we do not have to set the same tasks, but we should all strive towards the same goal. Customers can also represent a challenge. I mean the ones that are not easy to do business with due to the human factor. This type of customer may be inclined to micromanagement, which is good for nothing at all times. You need to be able to build a process so that all participants are satisfied. At a professional level, leaders are often yes-men, which is now true for me as well. I believe that any proposal has the right and reason to exist, and I try to find positive aspects in them from the point of view of different team members. I guess, I don't argue my point of view as much as I should. But at the same time, the ability to listen and understand is one of the foundations of healthy teamwork. I Learn, Therefore, I Grow Analyzing all my experiences, perhaps the main lesson I learned is that the key to a project’s success is in that elusive client satisfaction. This is the foundation of the team and management’s contentment from work. I noticed that I used to think more like a QA than a manager: finding and reporting problems. In fact, my immediate task is to solve these. Overall, success stands on three pillars: team, client, and company. In this context, I should act as a facilitator for all parties. Understanding what the client values ​​implies a profound knowledge of their businesses and respective processes, especially those involved in the project. Awareness of what the team faces every day, at least at a basic level, demands insight into the technologies used on the project. If this is a software project, the manager must know its architecture, and how its components interact. This helps in problem identification and simple rapport within the team. Even a basic programming course may be required to capture the meaning of some jokes In general, I noticed that engineers respect those who have a good grasp of their business, and dislike those who pretend they do yet are incompetent. Therefore, it will be easier for a tech-savvy person to gain the trust of a team, but this does not mean that it should be difficult for a non-techie. Such a person should just be honest and brave enough to approach the situation with humor, doing the job in the best way possible. I also get that both techies and non-techies have the same respect for a job well done. The trust will come when the team sees that their work has become more organized and productive upon your arrival. I am the one responsible for the processes. If my letter remains unanswered for an entire day, I will not continue waiting for the sea weather. I need to reach out immediately and get a response, because any delay fails other people and is detrimental to the entire project, and, therefore, to the company's reputation. It took me some time to figure this out. Another important lesson is the urge for data security. Sometimes hackers happen to access the repository where the projects are located. One should not underestimate the capabilities of criminals and rely on chance. I take cybersecurity very seriously: providing effective protection universally is part of my work culture, my habit. Some might say I am overly serious about this issue, however, my vigilance has never let me down. As a leader, I do my best to ensure that my stance on this matter becomes the stance of the whole team without compromise. You Can't Win Alone Over the years, I devoted a lot of time to hiring and QA selection. Now I am actively engaged in hiring developers, but the method is pretty much the same overall. First of all, you need to determine the project needs, the entire amount of necessary resources, and the required competencies for specific tasks. Accordingly, we draw up a candidate profile, which then travels to recruiters. In this case, the quality of the interview and expertise of the interviewer are pivotal. Sometimes you need to dig deeper by asking the right questions. In addition to the technical base, an interview demands an ability to read between the lines, and pay attention, not only to what a person answers, but how one does it, how one reacts. When the top specialists appear to be toxic, harsh, or overly emotional, there will be no well-coordinated work or positive results. Visual contact is essential. By switching to remote, we conduct video interviews, that complete picture of the personality helps to form an opinion. That is, what is the impression of the conversation as a whole? Was it pleasant or tense? I like to start a talk by asking about the candidate’s career journey. Ambitions, dreams, accents, and degree of enthusiasm surface right away. I am always interested in how deeply a person comprehends their own role in the project. One of the hiring cornerstones is to involve the team in it. This is a guarantee that the newcomer will accurately match the vibe and the impression will incorporate different perspectives. That is, it is not enough to trust yourself — you need to trust your people’s perceptions. This is my major principle. Changing my mind is not hard for me at all. I always keep in mind I may be wrong, and that my solution may not be the best. Favorable Environment For A Leader To Grow No one needs a leader in a vacuum. In the development of a manager, the surroundings and people are at the core. I feel tremendous support from my team. Pleasing the client is not enough. You need to listen to your colleagues’ feedback and draw conclusions. For a novice manager, a systematic response is important — knowing how one succeeds and whether one is succeeding at all is vital. This leads us to the corporate culture within the company, its values, DNA, and ideals. I am lucky to work with open, honest people who are transparent in their words and actions. They create a unique atmosphere, and it is crucial for each person to contribute to it. We are each other's students and teachers at the same time. When there is no red tape or insurmountable walls, but instead a simple humanity, the leader evolves and inspires others to do the same. In this article, Anton Shashuk, Delivery Manager at , shares his own experience and path to engineering leadership. Innovecs

A Path to Engineering Leadership: Perks, Lessons, and Food for Thought 

Get smarter at making your corporation effective by improving the accuracy of AI systems. Data-centric approaches elevate machine learning models. Key Takeaways Understanding the concept of the Data-Centric AI approach. Data correcting techniques across all the AI projects. Growth and opportunities in the corporate world. What is Data-Centric AI? In simple words, the data-centric approach refers to how data is changed or altered to improve performance and evaluation. Data is the primary encoding of domain knowledge, and it is constantly gaining renewed prominence within Artificial Intelligence (AI) to robust traditional systems. , a technologist and entrepreneur, is the pioneer of Data-Centric AI. In his keynote on Deep Learning, he discussed the evolution of technology (from ) and presented some valuable insights about its implementation to data individuals, stating that  the data-centric approach gives more time in labeling, managing, slicing, and augmenting the data. In another video session, said: Andrew Ng Model-Centric to the Data-Centric AI Andrew Ng "Data is food for AI" He further adds: "Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. In other words, companies need to move from a model-centric approach to the data-centric approach". Techniques of Data-Centric AI Competition The two main techniques used in the are: Data-Centric AI Data Labelling The identification of raw data in images, text, and videos, in the machine learning process refers to data labeling. As emphasized by Andrew Ng, the issue in making a high-quality dataset ascends many times from errors and inconsistencies during data labeling. However, consistent rules in labeling and strong consensus among professionals enable the stake of fallacies and decrease subjectivity. The most significant aspect of labeling is the consistency to double-check the accuracy of labelers. Data Balancing Data balancing has to be in a proper array. For the maintenance of data efficiencies, decision-making is crucial for data teams to enforce consistency. With the solution, AI and decision-making integrate both Data Science and Machine Learning. Andrew Ng draws attention to the data and modifies iteratively by holding it the same way. More precisely, it detaches high-quality data. To accomplish this effectively, one needs insightful understanding to balance data. Importance of Data-Centric AI in Business Sectors According to Andrew Ng: "The data-centric approach allows people in manufacturing, hospitals, farms to customize the data, making it more feasible for someone without technical training in AI to feed it into an open-source model." It will provide a surge of further opportunities for AI to make distinctions in traditional ways with minimal data sets and less expertise. says Ng. "What I see across the world is lots of these 1 to 5 million dollars projects that aren't being worked on", Companies from various industries, including automotive, electronics, and medical equipment manufacturers, are making headways by using AI and deep learning solutions these years. Perks of Having Data-Centric AI in the Corporate World Andrew Ng "If 80 percent of our work is data preparation, then ensuring data quality is the important work of a machine learning team." Improves Decision-Making The need to build a data-centric organization entails developing tools, skills, and, most crucially, a factual culture that prioritizes data in decision-making. It is all about gathering and analyzing information to make better decisions. The pursuit of a data-centric approach enhances decision-making, which is incredibly necessary in today's business world. In particular, it becomes easier for the companies to adopt change that may substantially influence the company's trajectory toward growth. The recent advancements in data and analytics impacted the automotive industry by having various data-driven features linked to mechanical segments. The vehicle data architectures are redefined due to the underlying data models that seek to provide core analytics and Artificial Intelligence. Consumers expect the vehicle companies to deliver relevant messages across the channels. Along with preferring actual timings that they have chosen earlier, sometimes, brands fail, and consumers move away. To overcome the issue of hyper-target marketing, it is integral to practice a data-driven approach. Eradicates the Workflow Challenges Data-centric AI enables manufacturers to use machine learning even when carrying a small data set in the manufacturing sector. This is where the startup of Ng came into the limelight! Under one monolithic search engine or AI system, consumer software still works smoothly since it requires multiple enterprises. Each hospital, for example, uses its mode of coding electronic health records. But it should be noted that a single AI model cannot handle the overall forms of hospitals. Fortunately, Landing AI tech makes it possible for manufacturers to devise sophisticated AI models. It can diminish the number of hiring thousands of engineers to labor on it. However, it is the gateway to countless potential opportunities for employment, notably in the manufacturing industry. The world runs on big data! Ng is looking ahead of time (in the next five to seven years). He sees a massive breakthrough for AI. There will be a magnificent focus on data-centric AI, shifting away from the consumer software industry. He further elaborates his views by saying, "What we are missing is a more systematic engineering discipline of treating good data that feeds AI systems, and this is the key to democratizing access to AI." Reduces the Developmental Time of Projects Manufacturing teams can operate in parallel, which instantly impacts the data used by the AI system with this approach. It lowers developmental duration by eliminating excessive back and forth between groups and looping in human input most needed. With prompt detection of the damaged parts, risks are notably avoided. It is how machine vision technologies work effectively in such conditions. For example, a series of images from are used to detect defects that commonly occur during steel sheets manufacturing. However, the system can examine images of products on an assembly line. At least 39 distinct defects need to be identified. The development of a computer vision model having hyperparameters reaches the 76.2% accuracy baseline system. Yet the task is to achieve 90% accuracy. steel sheets Quality over Quantity The platform is immensely beneficial in providing high-quality labeled data sets. Implementing suitable algorithms at the right time is incredibly crucial in attaining error-free outcomes. Nowadays, it is possible and necessary since high-quality data is always a demand in the corporate world. Data-Centric AI Having a data-centric approach offers a systematic method that improves data, consensus data, and ultimately the cleansing of inconsistent data. Understanding and knowing how to organize data quality according to their domains give businesses a competitive edge. Wrapping Up: Organizations Need Data-Centric AI, Data Drives Change! Benefitting from data-centric AI (machine learning) has become a practical approach for all kinds of industries globally. Without any doubt, AI is the core aspect of decision-making in different business sectors to bring out robust results from all AI systems. By adopting AI solutions, a fundamental shift unleashed the utmost potential of Artificial Intelligence (AI) in the current digital age that will prolong for the coming years. Here are some and an insightful to help you take the next step. 👍 Are you ready to get started with Data-Centric AI? awesome resources Data-Centric AI Community Good luck! References Felicia Hou, This AI entrepreneur is working to bring machine learning to more industries (2021) Gil Press, Andrew Ng Launches a Campaign for Data-Centric AI, (2021) , , (2021) A Chat with Andrew on MLOps: From Model-centric to Data-centric AI DeepLearningAI

Perks of Having Data-Centric AI in the Corporate World

Imagine that you are a leader at an insurance company. You know that artificial intelligence (AI) will give you a competitive edge and have decided to invest. You hired two brilliant data scientists, Juana and Yash. Juana develops an AI solution that scans digitized customer files, mines them for relevant information, and calculates accurate pay-outs. You project savings of over $1 million in the next 2 years, and 30% increased staff productivity. Yash builds a model that predicts fraud to speed up a manual review process that requires a 2-week review per claim, with about 30,000 claims per month. You project 210% ROI in the next year and $6 million saved in fraud prevention. One of the best parts of this hypothetical is that the two example AI models mentioned above are real. Fukoku Insurance and Anadolu Sigorta built the models mentioned above – and saved millions. AI can be used to automate and improve key insurance processes, such as claims processing, customer experience, and fraudulent claim prevention. In our digitized IoT world, there is an endless stream of consumer data at our fingertips that can inform underwriting and pricing models. In this blog, we explore the untapped potential of AI in the insurance industry, examine the hurdles to AI adoption, and show how Modzy can help. Obstacles to AI Adoption in Insurance If these capabilities exist, what is preventing widespread adoption of AI in insurance? Obstacles abound. One of the biggest challenges is . As with many major industries exploring AI – finance, healthcare, manufacturing – the core IT systems in many insurance companies are woefully outdated, based on now-obsolete code like COBOL or RPG/400. leaving legacy systems behind Cost and trust are the primary hesitations that businesses cite to upgrading legacy systems. It’s daunting to consider an infrastructure overhaul that requires a multi-million-dollar investment. This is especially true for companies that invested in internal AI builds, only to find themselves spending more time resolving piecemeal flaws than reaping the benefits of innovation. Such attempts, combined with lack of education about AI advances and the widespread belief that the technology is unproven, contribute to resistance rooted in distrust. Modzy’s recent research report “ ” found that 82% of decision-makers in insurance believe that AI is disrupting the competitive landscape – compared to 93% in finance. The Race Towards AI Adoption Furthermore, AI is perceived as opaque. In an industry where it’s critical to eliminate bias from coverage and pricing recommendations, hesitation over handing this power over to a black box model is understandable. Another major obstacle that goes hand in hand with legacy systems is lack of access to AI/ML talent. Data science and machine learning expertise is scarce and expensive. It’s difficult to know where to start without expert guidance on building and scaling AI. And even with expert advice, it’s challenging to move AI from prototype to production. It can take nine months or more and may still fail; make it out of the lab. less than 50% of all AI investments Modzy is a Gamechanger for Insurers Modzy was built to resolve the most difficult challenges associated with AI adoption – updating legacy systems, lack of trust, and difficulties building AI capability internally. Modzy is a one stop shop solution for ModelOps, an approach that enables you to use and govern AI across your company. With Modzy, you’re not required to overhaul your entire infrastructure. Modzy integrates with your existing tools and tech stack. You don’t have to forego the business applications you use for claims management, CRM, accounting, and business process automation. Whether you’re using Salesforce or Zendesk to manage leads, Tableau for analytics, or ArcGIS for location-based insight, Modzy supercharges your existing tools with AI. To address the issue of trust, Modzy has developed a market-leading solution for AI . Explainability enables you to lift the veil on black box AI to understand how AI models arrive at decisions. Explainability is critically important for insurers. Not only do insurance companies need AI to interpret troves of customer data, but must also be able to justify that pricing and underwriting recommendations are fair. explainability Bottom line? Modzy is a secure and centralized ModelOps solution that automates deployment so you can start using your AI at scale immediately. Modzy provides a central platform to manage and govern your models. Modzy protects your data, sets usage limits to control cost, monitors for data drift, and sends alerts when models are underperforming. Modzy an help insurers reap the benefits of AI at scale. Insurance executives are seeing the power of AI technology and starting to invest. But the insurers that reap the rewards of AI will be those that see the investment through to full scale production with ModelOps.

The Perks and Obstacles of AI Adoption in Insurance

New research published by Synamedia shows that the sports industry can potentially earn billions in extra revenue with a tailored approach to piracy. Rightsholders should ignore sports fans who are unwilling to pay while offering both a carrot and stick to the three-quarters who are more likely to be converted. Piracy presents a major challenge for copyright holders across different sectors, including the sports industry. While it’s easy to condemn piracy in its entirety, this may not be the best approach. Most pirates are legitimate customers too. In fact, they are often the biggest fans. Converting Pirates In recent years this realization has triggered a shift in perception. Instead of treating all pirates alike, it may be more sensible to look at their underlying motivations to access content illegally. That can help to find out if there are opportunities to convert some pirates into paying customers. This thinking is also reflected in a new research report . Through an extensive survey of over 6,000 respondents in ten countries, the company identifies different types of pirates, including those who are more likely to pay for legal services. published by Synamedia The overall conclusion is that with the right approach, the sports industry could potentially generate an additional $28 billion in annual revenue. While this is an estimate that depends on the most ideal scenario, the research makes some excellent points. Ignoring Hardcore Pirates Instead of simply counting the potential revenue all pirates could bring in, Synamedia ignores the hardcore pirates. This represents roughly a quarter of all illegal viewers, those who won’t consider switching to legal services. “We ignore the quarter of illegal viewers who will never pay for content — those that are only casually interested in sports, lack the means to pay, or those who are die-hard rebels. There is little point in measuring ‘lost revenue’ that could never have existed in the first place,” the report reads. “This leaves a significant cohort of fans, 74% of all viewers of illegal sports services, as members of the ‘converter cohort’ —those consumers potentially willing to convert if they can access a legitimate alternative to the pirate services, and if industry action renders their illegal streams unreliable or unavailable.” Demographics and Demands Instead of targeting all pirates at once, rightsholders should tailor their strategies to the group of potential converts. The research found that these tend to be younger and watch a wide range of sports using various connected devices. By carefully analyzing the demands of these potential converts, broadcasters could more easily convert them. For example, this ‘hyperconnected’ group tends to watch more content on devices away from the regular TV screen, a feature broadcasters should support. “These hyperconnected fans are over-represented in the converter cohort,” the report reads. “This highlights the crucial need for operators to offer apps and ‘TV Everywhere’ access to ensure sports fans can watch on every screen, including when they are traveling away from home.” Similarly, the potential converts are also more likely to be interested in niche sports. This means that broadcasters and platforms should offer a broad range of sports, instead of just focusing on what’s most popular. Tailored Anti-Pirate Measures In addition to looking at the features pirates are after, the sports industry can also focus on the regions where they stand to benefit the most. For example, Asia Pacific and North America together are already good for more than half of the conversion potential. Finally, rightsholders can also tailor their anti-piracy measures to the ‘converts’ group. Among other things, the research found that these people are more concerned with unreliable or poor quality streams. So, cutting off illegal streams mid-game may be a good strategy. Pirates are An Opportunity The overall conclusion of the study is that pirates should be seen as an opportunity rather than a threat. This means that superior and affordable legal options combined with selective anti-piracy measures should work best. “The hardcore unconvertible pirates should not be ignored, but focusing on the lucrative converter cohort makes far more business sense for the industry. And any deterrent initiatives aimed at nudging converters in the right direction will also help disrupt access for those with no intention of paying legitimate providers. “The biggest consumers of illegal content are the most avid sports fans. Rights holders benefit from better engagement with their biggest fans when they’re serving up high-quality legitimate content,” the report adds. Originally published as “ ” with the Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) license. Sports Industry Can Earn Billions by Selectively Converting ‘Willing’ Pirates

The Perks of Piracy: How Sports Industry Earns Thanks to a Portion of Pirates

With time, the inclination of people towards online buying has increased rapidly, giving a boost to eCommerce businesses. The customer’s assessment of an eCommerce business is highly dependent on his/her delivery experience. For this reason, businesses often onboard third-party eCommerce logistics software and tools to oversee their shipping and delivery operations. What is third-party eCommerce logistics software? In general, eCommerce logistics software is a tool that helps the sender as well as the receiver in keeping a track of the timeline of the package. When these tools are provided by an entity outside of your own business, they are termed as a third-party tool or software ( ). 3PL Software 3PL can provide multiple services - ranging from management of the transportation services to warehousing near the customer's delivery address. They do it all to provide a smooth shopping experience to the customers, on behalf of the eCommerce businesses. The Evolution of 3PL and How 3PL Softwares came into existence : Warehouses began establishing during the 1970s. Now, instead of traveling directly from a distributor to a retail store, the products halted at an intermediate warehouse close to the buyer’s location, from where they were fetched by the customers. 1970s : The entire logistics operations slowly began centralizing and warehouses began expanding their reach by providing movement facilities for the stored orders to the customer locations. 1980s : With the rise and globalisation of the eCommerce industry, the third-party eCommerce logistics services helped eCommerce businesses in expanding their reach to domestic as well as international markets by effortless management of their delivery operations. 1990s : During the first decade of the 21st century, the popularity of third-party eCommerce logistics grew exponentially. Complex logistics operations such as warehouse management, transportation, tracking, etc. were integrated with the use of appropriate technology. 2000s : With the advancements in technology, the logistics infrastructure has changed drastically. The third-party eCommerce logistics software is designed to integrate multiple complex operations such as warehouse management, transportation, and tracking, with an easy-to-use interface that suits the customer’s expectations. Lately Merits of onboarding a third-party eCommerce logistics software for your online business The third-party eCommerce logistics software is a complete package that encompasses various facilities such as real-time order shipping tracking, easy returns, affordable shipping costs, etc., thus enriching the overall customer experience. Below are a few reasons why an eCommerce brand should consider procuring a third-party eCommerce logistics software: Increased efficiency and flexibility The efficiency improves in terms of route planning, warehouse management, and prompt deliveries and pickups. Moreover, the delivery process is flexible and incorporates multi-drop deliveries as well, thus adding to the customer experience. Scalability and Customisation Third-party eCommerce logistics software grows with the business, i.e. it is scalable. When your business provisions develop down the line, the software can be customised to suit needs as per the requirement. Real-time tracking and updates The real-time visibility into every step of order movement is being emphasized by 3PL software to ensure a fast and secure shipping experience. This also enables users and eCommerce businesses to report and resolve issues at once. Cost-effective and Up-to-date The third-party eCommerce logistics software complies with the latest developments in technology and is not heavy on the pocket. Due to its well-established infrastructure, 3PL software also helps in overcoming hurdles that may arise during shipping at nominal costs. Order, warehouse, and delivery management and analysis 3PL Software organises the management of orders, warehouses, and delivery journeys under one roof. The eCommerce business owners can keep a track of warehouse stocks and order status, while the customers are provided timely updates about the delivery of their orders. All this data is available to the eCommerce businesses to analyse and act upon. Summary The third-party eCommerce logistics software can add great value to eCommerce businesses by simplifying the management of the entire shipping and delivery process. A well-designed and user-friendly third-party eCommerce logistics software can be fruitful for enhancing the shipping process in terms of speed, accuracy, and safety, leading to greater customer satisfaction.

The History and Perks of Third Party Logistics Software in Warehouse Management

It’s never too late or too early for learning and teaching. Once upon a time, someone told that one needs to keep knowledge, but there are two facts about this person who made up this so-called don't-share-a-thing rule. Firstly, they did not tell us what would happen if we nag this rule and share. The second fact is that this person wasn't invited to many parties. In a real-life, knowledge transfer is a basic of success. In this article, I’ll share 5 not-so-obvious perks of a knowledge transfer: You will learn something new. Sharing knowledge helps to boost empathy. You'll meet many great people. It is easy to build a team of your mentees. If you are the most excellent expert, keep in mind there is always someone more extraordinary. Let's take a closer look at each item on this list. I will try to convince you that teaching and learning are vital, but at the same time can be relaxing and fun. I will scare those who refuse to learn. I'll tell them they get stuck at their stage of development and then rollback. But first things first. This Is The Only Way To Learn Something New Whatever you want to learn, you need two things: knowledge and a mentor. Wait, I can hear something! That’s you saying: "But I have been learning on my own all my life. I don't need a mentor!" OK, I got you, but there is a contradiction. Let me explain. You actually use the services of a mentor for self-study. Don’t look at me like that. The task of the mentor is to give you methods, control your progress, and motivate you. If you learn Spanish, for example, via an online course, you use a ready-made approach. The program checks your tests. Some online courses even adapt to your level as you proceed. Doesn't it look like a mentor? If you learn using books, you take on some mentoring duties. You build a method, control your work, motivate yourself. But someone provided you with the information. In fact, this person is your mentor, separated from you in time and space. When you teach someone, you learn new things too! You master the skill of teaching, structure your own knowledge, recall the details forgotten a long time ago. Students may ask tricky questions you may be surprised while looking for answers. By teaching someone, you conduct yourself. The best way to exchange knowledge is training in real-time. I will explain why I think so later in this article. Knowledge Transfer Boosts Your Empathy When you learn from someone, you get the knowledge and life approach of your mentor. This works perfectly, especially for long-term one-to-one knowledge transfer. I'll tell you why I love face-to-face training. I love it as this is the only way to convey not just dry facts but something personal. If you and your mentor are in a good relationship, you can discuss anything. Your mentor can become your friend and help on many issues. A friendship with your mentor will help you stay motivated for a long time. But where is empathy in all this? Well, empathy is the ability to feel people. With it, you can adapt to them and connect with them easily. Empathy helps to make friends and manage teams. When you teach, you need to adjust to your student. Let’s say you have a developed method of work with organized people, but you'll have to change it to work with the non-obligatory ones. You have a method allowing you to teach people motivated by a higher goal. But it won't work with the ones prioritizing sensual pleasures. Finding a key to each student is a challenging task. Doing this over and over will boost your empathy. You Will Meet Different, Amazing People It's easy to build a team out of your mentees. It's just as great to work with your mentors. The truth is, not many firms hire people with no experience to "grow" them as professionals. It's a pity because this practice helps employees feel important. It forms a sense of duty to the company. This is how firms gain loyalty - one of the central values ​​for the company — and it leads to reduced staff turnover, faster business processes, and so on. Growth is one of the main factors for the formation of the employee’s loyalty. It will be harder for an employee to leave the team one has grown in. People are happy to work with those who care about their development. If you are a mentor with a class of friends, it will be easy to embody any idea you’d like. Each of your students is a person with hobbies, certain psychological types, and competencies. You can form a whole dream team consistent from matching people. Your Expertise Is Extraordinary, But There Is Someone More Extraordinary. You may think you are the most remarkable engineer, but tech is moving forward unstoppably.  To keep your status, you will have to learn. And first, you might admit that there is someone more incredible than you. From such a thought, your ego may feel really bad. But trust me, this is only for the best! The most astonishing expert can get a lot from being a student. Learning removes unwarranted self-importance and helps to look at the world more accessible. No wonder the ancient philosophers said, “I know that I know nothing.” Effects Of Not Wanting To Share Knowledge "You haven’t convinced me. I am the best in my field, and I won't sit in a student's chair ever again. I am cool enough to teach you all here." Does it sound like you? Then please read this part, and if not, you can skip it. As I said, the world is advancing and what we couldn’t imagine in the 1970s is our reality of the 2020s. Think of the world with no Internet and if you don't recall it, then guess. Could you, living in such a world, even imagine the Internet and all the possibilities it offers? Unlikely. You cannot imagine what awaits us in another 10, 20, 50 years. Well, you can, but this is unlikely to correspond to reality. Whether you like it or not, progress will develop rampantly. Your skills, experience, and knowledge will become obsolete. Conclusion Studying is not scary. You need to explore if you want to become an excellent expert or remain so. It is helpful to learn to keep self-importance from skyrocketing. Learning and teaching develop empathy. You will need it to lead, get up on the career ladder, make friends, and so on. There is someone more incredible than you, and that's okay. Do not be afraid of this or worry about it. Take this fact as a motivation to learn. It doesn't matter if you are a student or a teacher. You learn new skills during knowledge transfer anyway. By sharing knowledge, you don't lose anything but only gain.

Teaching is Learning: 5 Perks of a Two-Way Knowledge Transfer

I don’t care about video games, NERF guns, or kegs in the kitchen. We’ve all heard about offices with video game lounges, NERF guns, and kegs in the kitchen. These things are cool and all but let’s be real, they don’t mean that much. Especially when a company cultivates a culture that enforces the idea that if you’re not putting in 20 hour days, you’re not doing enough. A culture that can (and often does) lead to burn out and fails to meet basic needs of employees like encouraging a healthy work-life balance and providing paid leave for parents and parents-to-be. So, here are a list of perks I actually care about. A culture that embraces remote work Seriously, this is the industry. Why don’t more tech companies embrace it and open their doors to people around the world? With tools like Slack, GoToMeeting, and, dare I say, , the need for a person to literally be in the same room has practically disappeared. tech email But even if a company for one reason or another isn’t ready to embrace remote work, it shouldn’t be a big deal for me to work from home once a week or choose to work from a cafe in Paris for a month. As long as it’s not negatively impacting my work, it should be a non-issue. Unlimited PTO The main argument I’ve heard against unlimited PTO is, “ ” To which I say, “ want ” Then everyone will disappear for six months! What’s your company doing that would make employees to leave for six months? Image from Pexels Employees are a company’s greatest asset and they should be treated as such. I should be trusted to maintain my own work-life balance and if I’m on vacation, let me . No expectation of answering emails. (I had a manager who told me I had to check and respond to emails every day while on vacation. Needless to say, I quit). be on vacation Bonus points to companies like that encourage employees to take at least three weeks off each year. FullContact Flex-time This could be qualified as a form of PTO or remote work, but I think it needs to be called out specifically. If everyone works 9–5 but my schedule works best if I work from 8–12 and 3–7, then let me do that. If I decide I want to take the afternoon off to take my dog to the park because it’s the first nice day in two weeks, I should be trusted to make up that time later if I think it’s necessary. If one of my coworkers wants to see their child’s school recital at 2pm, they should be able to do so without requesting time-off. (Equal) paid parental leave Just because I have no plans to start a family any time soon doesn’t mean I think my coworkers should be punished for choosing to do so. It’s crap that so many women receive when on maternity leave and have to rely on FMLA to protect their jobs. So if a potential employer doesn’t value employees enough to pay them while on maternity leave, I have zero interest in working there. no pay Image from Unsplash The same goes for men. If a guy wants to take paternity leave or has to take paternity leave, it should be paid and last at least a month. It’s harder to find companies that provide this kind of support to fathers and fathers-to-be but tech companies need to take notice; especially since so many of their employees are men to begin with. Career growth stipend/reimbursement I’m adamant about maintaining a healthy work-life balance, but I’m also adamant about progressing in my career. That means I want a company to respect and value when I choose to attend conferences or enroll in courses that’ll build on my existing skills or challenge me to learn new ones. Salary transparency We all know that white women make less than white men but have you considered how that compounds if you’re not a white person? Especially if you’re a ? The wage gap generally compounds itself the more marginalized communities a person belongs to. black or hispanic woman While I don’t know what the specific solution should be, I’ve got a few ideas. Each company could implement a where employees can see the range of salaries for a specific position, a , or even something as simple as positing a salary range with each job listing. Glassdoor solution salary calculator like Buffer’s Image from . Pexels Regardless, creating some kind of baseline awareness of salary expectations for a specific position and promoting a culture where employees can be open about their salary is important to establishing pay equity. It’s especially important for women who are less likely to ask for raises and promotions, and are less likely to negotiate their salary. Menstrual products provided in the restroom Yep, I said it. If a company is so willing to splurge on a PS3, Wii, a keg and restocking it with beer, or even snacks and catered lunches, why aren’t they willing to pay for pads and tampons for the employees who need them? Perhaps it’s because tech seems to be dominated by males and males don’t get periods? Make the workplace more inclusive and show that you value people with periods by making sure they won’t be caught without a pad or tampon when their period shows up. Ultimately, I’d like to see tech — and all companies — get to a place where the perks I’ve mentioned are all a given. There are more perks I could add to this list but I know it’s going to take awhile before all this happens. But that won’t stop me from expecting and demanding a more inclusive work environment that values employees. all I spend a lot of time thinking about books, writing about life, and learning to code. If you’re interested in following my journey to become a programmer, you can follow me on Medium . If you’re a woman in tech who feels like an imposter: I can relate. Feel free to reach out to me, we can talk tech and help shed our imposter syndrome together.

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