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Get the most recent info and news about ELEKS on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

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

ELEKS

AI is revolutionising software development, making it more efficient, productive, and innovative. In this article, we explore the impact of AI in software development, delving into the insights gained from our investigation of GitHub Copilot performed by the ELEKS R&D team. As the world of software development continues to evolve, the role of has become increasingly important. With benefits like the ability to reduce the time and effort required for coding and more, it's no wonder AI in software development is a hot topic nowadays. AI 92% of developers based in the U.S. are already using AI coding tools both at work and outside of it. - GitHub 70% of developers believe that AI coding tools will give them a distinct edge in their professional endeavours, including improved code quality, reduced completion time, and enhanced incident resolution capabilities. - GitHub 4 out of 5 developers expect AI coding tools to make their team more collaborative. - GitHub Although AI hasn't reached a stage where it can independently create, test, and launch software products without human input, compared to the past, it has greatly speeded up the overall turnaround time. Many AI-driven tools are available that can assist in developing custom applications by generating and autocompleting code, as well as detecting and fixing bugs. The ELEKS Research & Development team thoroughly assessed one such tool - GitHub Copilot - to evaluate its influence on developers' tasks, completion duration, and quality standards for recommendations provided. Let's take a closer look. What is GitHub Copilot? GitHub Copilot is a tool for code autocompletion and generation. It is built based on OpenAI Codex and trained on public GitHub repositories. As a result, it suggests code for any programming language. However, the quality of proposals depends on the number of public repositories that are based on a specific programming language and framework. GitHub Copilot works with program code using Integrated Development Environment (IDE) plugins. Only the following IDEs are currently supported: Visual Studio Code Visual Studio Neovim all IDEs from JetBrains Overview of ELEKS' GitHub Copilot investigation This investigation aimed to explore the impact of using Copilot on both development speed and quality. To conduct this study, a small pet project was initiated as a testing ground for various assumptions. With a team comprising four skilled middle developers armed with expertise in React, Redux, TypeScript, Jest, Vite, PHP, Symfony, and Codeception, we started the investigation and defined our goals and approaches as follows. Goal Approach Evaluate the dependency between the developer’s competency and performance when using Copilot We selected the Symfony framework for back-end development. The back-end team had no substantial experience with this framework. To assess the quality of the back-end solution, a Symfony expert was involved in a code review. The expert also developed a basic project structure that went beyond the typical one and was used in a large commercial project. Investigate the impact on typical developer tasks Before the project started, we created a WBS that covered the typical work of a developer on a commercial project. Also, we conducted a task estimation session. Investigate the impact on programming languages and frameworks by popularity We developed a web application with test coverage. Evaluate the impact on task completion time We made a preliminary estimation of individual tasks on the project. Enhance the research effectiveness We conducted knowledge-sharing sessions within the team during daily syncs. Explore the quality of suggestions We tested how Copilot deals with a non-classical and more complex project structure. Key findings from ELEKS' GitHub Copilot investigation ELEKS' investigation of GitHub Copilot yielded several key findings that shed light on the tool's capabilities and benefits. Here is a more detailed description: Please note that the investigation outcomes are based on the team's subjective feedback, observations of their work, and code reviews of their solutions. The GitHub Copilot has two modes of operation: Code auto-completion mode – almost always positively affects performance. Code generation mode based on a comment with a prompt – works well only for typical code structures. It can be counterproductive when generating business logic or non-typical solutions because analysing the proposed code variants takes a lot of time. The quality of GitHub Copilot code suggestions depends on the following: Popularity of the selected tech stack in public repositories. The more popular the technology or language, the higher the quality of GitHub Copilot suggestions. Code structure and application architecture. The more typical your solution is, the more effective suggestions GitHub Copilot provides. This is especially noticeable at the start of the project development. Other advantages of GitHub Copilot: Over time, the quality of code suggestions increases. GitHub Copilot learns and adapts to the project structure, code style, and typical approaches to technical solutions on the project. Positively influences developer job satisfaction. GitHub Copilot takes on a portion of routine, typical, and boring tasks. The ratio between developing interesting and routine tasks changes, which increases developers’ comfort. General team findings: The tool showed no impact on the code quality—neither positive nor negative. We think that for now, it cannot replace the code review process, manual code testing done by the developer, running autotests, security testing, and so on. The effectiveness depends on the developer's competence in the given tech stack. The better the developer's skills, the more effective this tool proves to be. The value of GitHub Copilot for learning new technologies is very doubtful. The team formed an impression that code suggestions become better if all code-related files are open in the IDE. Like any other tool, GitHub Copilot requires certain skills. The more the team practiced, the more positive feedback was received. The feedback regarding the increase in performance varies depending on the tech stack, the specialist’s competency level, and subjective reasons. 5–10% the average increase in productivity of team members. - ELEKS R&D team On a side note, during the project, the team encountered several bugs in GitHub Copilot. For example, Copilot proposed code suggestions based on the code from another project open in another IDE window. It offered syntactically incorrect code. Copilot conflicts with the features of some plugins (built-in or added by a third party) that also have a code auto-completion functionality. Conclusions GitHub Copilot is a powerful tool that positively impacts development speed and developer job satisfaction. Like any other development tool, it requires time to master it. At this point, an individual monthly license costs only $10, while the business plan is priced at $19 per month. GitHub Copilot will undoubtedly be financially beneficial for use on the projects, especially for the specialists of middle competency level and higher. The team predicts that with the growth of experience using GitHub Copilot, the development speed can increase by 5–25%, depending on the technology's popularity and the developer's competency level. GitHub Copilot is guaranteed not to slow down development because developers will gradually gain the expertise and understanding of when it is beneficial to use the tool and when not. In conclusion, the impact of AI in software development, exemplified by tools like GitHub Copilot, is undeniable. Overall, such tools as GitHub Copilot cannot replace a developer but serve as valuable tools to enhance developers' comfort and productivity, contributing to the evolution of software development in an increasingly AI-driven world. Unlock the path to an efficient software development process and successful outcomes, . contact ELEKS experts Also published . here

AI in Software Development: Exploring GitHub Copilot with Insights from the ELEKS Team

সফটওয়্যার ডেভেলপমেন্টে AI: ELEKS R&D টিমের অন্তর্দৃষ্টি সহ GitHub কপাইলট অন্বেষণ করা

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Generative AI: Expert Insights on Evolution, Challenges, and Future Trends

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Generative KI: Experteneinblicke in Entwicklung, Herausforderungen und zukünftige Trends

IA generativa: opiniones de expertos sobre la evolución, los desafíos y las tendencias futuras

IA générative : avis d'experts sur l'évolution, les défis et les tendances futures

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IA generativa: insights de especialistas sobre evolução, desafios e tendências futuras

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As businesses grapple with the complexities of global logistics, deploying AI in the supply chain has become a linchpin for those who want to stay ahead of the competition. In this article, we'll underscore the significance of AI in the supply chain and offer insights into a success story that vividly illustrates the tangible benefits of AI in optimizing supply chain management. A supply chain is the entire network of individuals and organizations producing and delivering a product or service to the final consumer. It includes every step, from sourcing raw materials, manufacturing and assembling the product to transportation, warehousing, and finally, reaching the customer's hands. 49% respondents from the supply chain sector expressed that disruptions led to planning difficulties. 44% indicated challenges due to supply chain footprint, which required them to make changes during the year. McKinsey Today, this multifaced network faces many disruptions, such as geopolitical tensions, economic fluctuations, climate change, and evolving regulations. Simultaneously, common goals transcend industries, including customer satisfaction, cost optimization resilience, and adaptation. Both challenges and goals demand innovative solutions, with supply chain optimization emerging as a crucial factor in ensuring efficiency. Brief Overview of Supply Chain Optimization Supply chain optimization (SCO) is a complex field dedicated to managing the flow of goods and services from raw materials to the end customer in the most efficient and cost-effective way possible. SCO is the adjustment of a supply chain's operations that ensures it is at the peak of possible efficiency. Top five challenges of supply chain optimization: Predicting customer demand accurately is crucial for optimizing inventory levels, transportation possibilities, and production schedules. Demand forecasting: Balancing the cost of holding inventory with the risk of stockouts. Inventory management: Selecting the most efficient and cost-effective routes for transporting goods, especially with factors like traffic congestion and fuel prices. Transportation optimization: Finding reliable suppliers who offer competitive prices and quality. Supplier selection and management: Efficient cooperation between all players in the supply chain. Collaboration and communication: To tackle these challenges, SCO employs data analytics, mathematical modeling, optimization algorithms, artificial intelligence (AI), and machine learning (ML). These tools collectively empower businesses to navigate the dynamic landscape of global supply chains with precision. AI and ML, in particular, emerge as powerful allies in the pursuit of supply chain efficiency. Leveraging and machine learning services helps automate tasks, enhance forecasting accuracy, and enable real-time decision-making, ensuring businesses can stay agile and responsive in the face of evolving circumstances. AI development Optimizing Supply Chain Management Through AI Integration AI plays a significant role in improving supply chain efficiency. It can be used in different areas of supply chain management. Enhancing visibility and transparency: Real-time data collection and analysis - Providing real-time insights into inventory levels, shipment locations, and potential disruptions. Predictive analytics - AI can analyze historical data and external factors like weather forecasts or economic trends, potential disruptions, and maintenance needs. Optimizing operations and decision-making: Inventory management - AI can optimize inventory levels by forecasting demand, considering lead times and seasonality patterns, and minimizing costs associated with overstocking or understocking. Route optimization - AI algorithms can determine the most efficient and cost-effective routes for transportation, considering factors like traffic conditions, fuel consumption, and schedules in a way of finding a balance between transportation and inventory costs. Warehouse automation - AI-powered robots can automate tasks like picking, packing, and sorting, improving speed, accuracy, and efficiency in warehouses. Resilience and risk management: Risk identification - AI can analyze data to identify potential disruptions or supply chain vulnerabilities, allowing companies to take pre-emptive measures to minimize their impact. Scenario planning - AI can simulate various scenarios like natural disasters or economic downturns, helping companies develop contingency plans to ensure business continuity. Fraud detection and prevention - AI can detect anomalies in order data and financial transactions, identifying potential fraud attempts, and protecting companies from financial losses. Sustainability and customer experience: Enhanced sustainability - AI can optimize processes to reduce waste, minimize energy consumption, and optimize fuel usage, contributing to a more sustainable supply chain. Personalization and customization - AI can personalize the customer experience by tailoring product recommendations and offerings based on individual preferences and purchase history. Let's explore how AI, in particular, plays a transformative role in reshaping the supply chain in the retail industry, illustrated by a real-world use case. Developing an Intelligent Supply Optimization System Our client, a manufacturer of plumbing tools and equipment with distribution points all around the United States, needed help optimizing their supply process. The main struggle stemmed from the elevated experiences associated with transporting goods from factories in China to distribution centers in the US. The customer maintained numerous warehouses and sales points across almost every state. Thus, determining the optimal routing posed a non-trivial task. In addition, it was crucial to consider the preferred transportation chain. Each product begins its journey in a shipping container from a Chinese seaport and travels the Pacific Ocean to reach a port in the United States, from where it continues its journey in a truck to the designated warehouse. Afterward, the product awaits last-mile delivery to the targeted distribution point. The customer wanted to have the following functionality: specify available warehouses; identify distribution points, with some automatically derived from historical data and others manually selected by the user; create a list of items along with their respective quantities; have a list of seaports. Finally, the client expressed a wish to be able to compare various methods of packing goods within shipping containers, either with or without pallets. The outcome of the optimization problem should yield the optimal transportation schedule and associated expense statistics. But before we dive into use case details, we will quickly outline a fundamental mathematical concept that is used in the intelligent solution. Integer Programming for Supply Chain Efficiency Integer (Linear) Programming (IP) is a mathematical optimization technique used to find the best solution to a problem with linear relationships while considering that either some or all the variables must take integer (whole number) values. The general form of an IP problem is to maximize (or minimize) a linear objective function subject to a set of linear constraints, where some or all the decision variables must be integers. The objective function is a linear combination of decision variables, and the constraints are linear inequalities or equalities that the variables must satisfy. The mathematical formulation of an IP problem can be expressed as follows: Values x₁, x₂, ..., xₙ are the decision variables, c₁, c₂, ..., cₙ are coefficients in the objective function, aᵢⱼ are coefficients in the constraint equations, and bᵢ are constants. Solving an IP problem involves finding the values of the decision variables that optimize the objective function while satisfying the linear constraints and the additional requirement that the variables must be integers. IP problems are commonly used in various fields, including operations research, logistics, manufacturing, finance, and telecommunications, where decision variables often represent quantities that must be whole numbers. Integer Programming is a valuable tool in solving supply chain optimization problems due to its ability to model complex decision-making processes involving discrete (integer) variables. The ways IP can be applied in the context of supply chain optimization: IP can assist in determining optimal inventory levels for different products at various stages of the supply chain, by considering constraints like storage capacity, demand variability, and order quantities, IP models can find the best balance between holding costs and stockouts. Inventory management: IP can optimize production schedules by considering factors such as production capacities, raw material availability, and demand forecasts. The model can help in determining the optimal quantities to produce for each product to meet demand while minimizing costs. Production planning: IP models can be applied to optimize the overall structure of the supply chain network. Routing and scheduling: IP models can be applied to optimize the overall structure of the supply chain network. Supply chain network optimization: IP models can incorporate demand forecasting data to optimize production and distribution decisions while aligning supply chain operations to anticipated customer demand, reducing the risk of overstock or stockouts. Demand planning: Enhancing Supply Chain Logistics – ELEKS’ Solution Overview To meet our client's requirements, we created a system that leverages the benefits of the Integer Programming technique, which optimizes supply schedules, routes, and inventory levels for five kinds of items: ceramic sinks, toilets, bidets, gas valves, and bathtub mixers (corresponding HS codes are 6910.10.0030, 6910.10.0010, 6910.10.0025, 8414.90.1080, 7323.93.0080). The system comprises three main parts (or pages): configuration, simulation, and analytics. Each of them will be explained in the following paragraphs. To ensure the confidentiality of data and application details, we anonymized names and real locations, creating a prototype for a straightforward demo application that illustrates the efficacy of AI in addressing optimization challenges. Configuration Page The user can select available warehouses, distribution points, and desirable seaports to take part in final optimized routing. Also, the client can specify desirable goods and their respective amount to be transported to their customers. The last thing is the date picker, in case delivery is planned. The system will calculate remains inventory at the delivery date based on forecasted demand and allocate planned shipments aligned with warehouse residuals. Clicking the 'optimize' button does all the magic! It sets optimization tasks and launches its solution. After a few seconds, results can be observed on the remaining two pages. Simulation (Map) Page This page offers the client the opportunity to view an accurate simulation of the proposed model's solution. In prior discussions, we deliberated on the suitable INCOTERMS for our client and reached a consensus on CFR. The customer can specify the number of hours for each step and press the corresponding button to see the state of the supply chain in this amount of time. First of all, there are five types of points: two for transport vehicles (ship and truck) and three for seaports (orange), warehouses (purple), and distribution points (green). The map is interactive, meaning the user can hover over any point or connection and see the information related to that object. For example, blue lines connecting warehouses and distribution points show the last-mile delivery plan and contain information about how much each good is delivered daily. If the user hovers over the ship, the information about its capacity, container types, loaded amount of each good, and routing are displayed. Analytics Page This page features all the data and statistics about the model's proposed solution. The user can observe the delivery plan, where each ship and truck are, its estimated arrival time, route, and filling. There are also a bunch of charts, starting from the pie chart with expenses altogether and ending with heat maps of delivery costs between different seaports, warehouses, and distribution points. Additionally, the client can observe a price graph per good for different distribution points and, based on that data, make corresponding business decisions. Performance Metrics: ELEKS’ Solution vs Client’s Legacy System The next challenge was to test our solution in real-world scenarios and compare it to the client's approach. For this purpose, the client considered a period of 1 month. The main conditions of the task (such as available seaports, location, and number of warehouses and clusters) are observed in the illustrations in the previous paragraphs. As a result, our model's solution was more effective regarding operating expenses, average time of last-mile delivery, and reduced idle time of warehouses. 5.76% average monthly cost savings achieved by the client and 50% reduction in delivery time for some clusters. ELEKS Data Science team The data indicates that the utilization of our solution proved to be more advantageous for the client, resulting in a reduction in the price per item. This outcome can be attributed to various factors, with the primary ones being as follows: More intelligent goods distribution More optimal delivery network More efficient routing and warehousing For example, our solution featured some clusters for which the model suggests last-mile delivery for different goods from distinct warehouses (an explanation lies deeply in the delivery network, and our model spotted this optimization possibility). The distribution of goods between warehouses differed (mainly between warehouses in Washington and New York). At first sight, the differences are not so significant, but the result speaks for itself. Conclusions The integration of artificial intelligence (AI) in supply chain management emerges as a critical component for businesses aiming to navigate the complexities of global logistics effectively. The multifaceted nature of modern supply chains, coupled with challenges such as disruptions, geopolitical tensions, and economic fluctuations, necessitates innovative solutions for achieving efficiency and resilience. The presented solution highlights AI's transformative role in streamlining supply chain managers' responsibilities and demonstrates the tangible benefits of AI and IP in supply chain logistics, showcasing a 5.76% average monthly cost savings, a 50% reduction in delivery time for some clusters. Its adaptability allows seamless adjustments, offering users access to a simulation studio, where they can execute various scenarios involving diverse items and quantities, facilitating a comparative analysis to determine optimal strategies for different situations. To schedule a demo of this transformative solution firsthand and explore its capabilities further, . reach out to us

A Real-World Case Study on Unleashing AI's Potential: AI in Supply Chain

AI এর সম্ভাব্যতা প্রকাশের উপর একটি বাস্তব-বিশ্ব কেস স্টাডি: সাপ্লাই চেইনে AI

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Une étude de cas concret sur la libération du potentiel de l'IA : l'IA dans la chaîne d'approvisionnement

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Практический пример раскрытия потенциала ИИ: ИИ в цепочке поставок

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释放人工智能潜力的真实案例研究：供应链中的人工智能

GitHub Copilot has become a topic of significant interest in the developer community due to its potential to accelerate development processes. This article presents a GitHub Copilot review and assesses its impact on enhancing development speed in real-life scenarios. Since its launch, Copilot has sparked various discussions, ranging from enthusiasm and optimism to skepticism and caution about its potential impact on programming and the future role of developers. Its influence on different aspects of software development - from speed to code quality and learning - continues to be a subject of analysis and discussion. GitHub Copilot users demonstrated an acceleration in task completion, achieving a 55% faster rate than developers who did not use the tool. - GitHub Intrigued by the bold claims regarding the speed boost attributed to Copilot, we embarked on a journey to verify its effectiveness, particularly in the realm of . In our pursuit of truth, we conducted our own testing of Copilot's use on real projects. To ensure optimal results, we took the following approach: AI in software development We deliberately chose several projects with different tech stacks and architectural approaches, aiming to cover a wide range of use cases. Varied project selection: We enlisted developers with different levels of experience and competence to test the tool. Diverse developer expertise: The key objective for the team was to conduct a GitHub Copilot review and assess its impact on coding productivity, identify its key influences, and find the most effective ways of using it. The testing period lasted three months to mitigate the potential bias influenced by a learning curve. Let’s dive into the outcomes. GitHub Copilot Review: How It Impacts Development Speed This study's key focus was to explore how the use of Copilot affects different types of projects. We tested and analyzed the effectiveness of Copilot in monolithic applications and microservices in both backend and frontend applications to understand where this tool is most effective. Copilot brings 10-15% productivity improvement for writing new code. - ELEKS team In broad terms, we can assert that the impact of Copilot on development speed is highly variable and depends on many factors. The following are key dependencies that emerge regarding the effective utilization of Copilot: 1. Size of the Existing Codebase Depending on the type of project and code structure, Copilot's impact on development speed varies: in frontend monolithic applications, we got approximately 20-25% development speed improvement; in backend monolithic applications - about 10-15% improvement, and in backend microservices - an average of 5-7%. - Ihor Mysak, Tech Lead at ELEKS The verdict? Copilot thrives in projects with a large codebase, where it can support developers with existing templates and solutions. However, its prowess dwindles in the microservice realm, characterised by a small codebase. It indicates Copilot's ineffectiveness in projects that are just starting and do not yet contain enough developed solutions. 2. Technological Stack Testing Copilot on projects with different tech stacks showed a significant dependence on the quality of Copilot's suggestions based on the popularity of the technology. React applications reveal a significant productivity surge, overshadowing the now outdated and less popular Zend framework. .Net projects find themselves in the middle ground; performance was observed to be intermediate, better than with Zend but not as high as with React, suggesting a correlation with the relative popularity and volume of .Net materials available. We believe this is because Copilot was trained on public GitHub repositories and had more training material for technologies that were more popular among developers. 3. Quality of Code in the Existing Codebase Copilot tends to generate higher-quality suggestions with proper and logical naming of variables and methods. Leading us to believe that quality naming helps Copilot better understand the context of the code, providing more accurate and useful suggestions. Meanwhile, when the naming of variables and methods is unclear or ambiguous, Copilot has less information to analyze, which decreases the quality of its contribution to the development process. Thus, high-quality naming in code not only simplifies the work of programmers but also enhances the effectiveness of artificial intelligence tools. 4. Type of Tasks Performed by the Developer Despite its effectiveness in certain aspects of development, we also found that Copilot has limitations, especially when generating code that implements new business logic. Copilot writes only the code according to the prompt, not complete solutions. Copilot is most effectively used for clear and template tasks. The time spent on a detailed description of business logic can outweigh the time needed to implement this business logic without using Copilot. - Ihor Mysak, Tech Lead at ELEKS While effective in templated tasks, it struggles with the intricacies of new ideas or creative programming. The message is clear: Copilot is a developer's trusted companion in routine, but the realm of innovation demands the touch of human creativity. Key tips regarding the effective use of Copilot: The more precise and detailed the prompt, the higher the likelihood of receiving a quality proposal from Copilot. Precision in the key: Avoid confusion by closing unrelated projects while using Copilot. If multiple projects are open in the IDE, Copilot can confuse contexts and generate suggestions for Project A based on the code of Project B. Context is everything: Adding comments before creating a class or method enhances autocompletion quality. Comments matter: Copilot is sensitive to the open tabs with project files, so one can artificially create a more targeted context for it. File focus: Unleashing GitHub Copilot's Potential: Adaptability and Indirect Impact Adaptability to Project-Specific Environments One of the most interesting characteristics of Copilot is its ability to adapt to the specifics of a particular project. Over time, Copilot "learns" the coding style and specific features of the project, leading to an improvement in the quality of its suggestions. Initially, Copilot may provide generic or less precise solutions. However, as the tool accumulates more exposure and interaction within the project, the accuracy and relevance of its suggestions significantly improve. This is especially noticeable in projects with an established coding style and a large amount of existing code for Copilot to "train" on. This adaptability makes Copilot not only a tool for increasing efficiency but also a powerful aid in maintaining code consistency within a project. Developers have also highlighted Copilot's positive influence on code complexity, noting a shift towards more readable and maintainable solutions, especially among those accustomed to crafting convoluted and intricate code structures. Elevating Automated Testing Copilot doesn't stop at coding; it has also mastered the art of automated testing. The tool offers templates and recommendations for potential test scenarios, allowing developers to save time and resources. Copilot boosts writing unit tests by 20-30%. - ELEKS team Copilot's ability to generate unique test cases that may not be obvious to developers is particularly valuable. It expands the testing coverage, improving the software product's examination depth. Interestingly, the quality of tests created with Copilot is directly related to the quality and structure of the tested code. Our developers noted that the clarity of variable names, methods, and the overall structure of the code significantly affect the quality and accuracy of Copilot's test generation. Therefore, the effectiveness of utilizing Copilot for writing unit tests depends on the tool itself and the quality of the tested code. Overall, Copilot has proven to be a useful tool in the process of writing Unit Tests, enhancing not only the speed but also the quality of the final product. Indirect Impact GitHub Copilot increases the coding speed and improves the overall nature of a developer's work. According to developers' feedback, Copilot allows them to shift focus from routine, time-consuming work to more creative and challenging tasks. Additionally, Copilot can be an effective alternative to searching the Internet or documentation, reducing the time spent switching between different windows and allowing developers to concentrate on their current tasks. This feature is handy when needing to quickly find answers to questions without being distracted from the main work. Copilot positively impacts the comfort and satisfaction of a developer. It streamlines getting answers to different questions and helps when there is no opportunity to turn to senior colleagues or find a solution on the Internet. - Olena Hladych, QA Lead at ELEKS Interestingly, we found a correlation between the soft skills of developers and their satisfaction with using Copilot: developers with less developed communication skills often are less satisfied with its performance, possibly due to difficulties in precisely formulating prompts. Conclusion GitHub Copilot is a powerful tool that substantially enhances development productivity in specific scenarios, particularly during unit test composition and when navigating extensive codebases built on popular technologies. However, its efficacy faces constraints in tasks demanding innovative approaches or the creation of novel concepts. Contrary to the claim suggesting a 55% boost in productivity, the actual outcome fell short. On average, teams experienced a moderate 10-15% improvement in productivity related to generating new code. However, it's essential to highlight various advantages attributed to Copilot utilization. Overall, developers appraise Copilot as an invaluable tool that contributes significantly to development speed and fostering satisfaction among developers. We recommend that teams and developers consider Copilot and approach it with an understanding of its potential limitations. The key to effectively using Copilot lies in understanding that it is an auxiliary tool, not a replacement for human intellect and creativity. It can enhance productivity and job satisfaction, reduce the time spent on routine aspects of development, and allow developers to focus on more complex and creative tasks. Deliver your software project with top development experts at ELEKS. Contact us today!

GitHub Copilot Review: Does it Really Give a 55% Speed Boost to Development?

গিটহাব কপিলট পর্যালোচনা: এটি কি সত্যিই বিকাশে 55% গতি বাড়ায়?

GitHub Copilot Review: Verleiht es der Entwicklung wirklich eine Geschwindigkeitssteigerung von 55 %?

Revisión de GitHub Copilot: ¿Realmente aumenta la velocidad del desarrollo en un 55%?

Examen du copilote GitHub : donne-t-il vraiment un coup de pouce au développement de 55 % ?

GitHub Copilot समीक्षा: क्या यह वास्तव में विकास को 55% गति को बढ़ावा देता है?

GitHub Copilot レビュー: 本当に開発速度が 55% 向上しますか?

GitHub Copilot 리뷰: 정말 개발 속도를 55% 향상시킬 수 있나요?

Revisão do copiloto do GitHub: isso realmente aumenta a velocidade de desenvolvimento em 55%?

Обзор GitHub Copilot: действительно ли это увеличивает скорость разработки на 55%?

GitHub Copilot İncelemesi: Gerçekten Geliştirmeye %55 Hız Artışı Sağlıyor mu?

Đánh giá GitHub Copilot: Nó có thực sự giúp tăng tốc độ phát triển 55% không?

GitHub Copilot 评论：它真的能让开发速度提升 55% 吗？

In today's fast-paced and competitive business landscape, maximizing workplace productivity has become crucial for organizations. Technological advancements play a pivotal role in enhancing efficiency, and one noteworthy innovation in this regard is VR technology. This article will explore how VR technology, particularly the Apple Vision Pro, can revolutionize workplace productivity. According to the McKinsey Global Institute, higher productivity is essential to confront the challenges of workforce shortages, debt, inflation, and the energy transition. Improved productivity helps organizations navigate these obstacles and leads to higher job satisfaction for employees and increased lifetime earnings. Introducing Apple Vision Pro Apple's recent announcement of the Vision Pro headset has sparked excitement and curiosity among tech enthusiasts. This cutting-edge device combines sleek design with advanced features, unlocking the immense potential for and delivering a unique, immersive user experience. VR software development The Vision Pro is a spatial computer that leverages eye tracking, gestures, and high-resolution displays to project digital outputs directly into the user's field of vision. It transcends the limitations of traditional screens, providing an unconstrained canvas for displaying information and creating virtual environments. Six Ways Apple Vision Goggles Could Boost Workplace Productivity 1. Streamlined Multitasking and Collaboration The Vision Pro's spatial computing capabilities enable seamless multitasking and collaboration in the workplace. Instead of relying on multiple physical monitors, employees can have virtual screens floating in front of them, enhancing efficiency and reducing clutter. Teams could collaborate like in Meta's Horizon Workrooms in real-time within an immersive virtual workspace, effortlessly sharing and manipulating information through gestures and voice commands, says Taras Chaykivskyy, Research and Development expert at ELEKS. Moreover, I envision the immense potential of enhancing remote communication by integrating facial expressions and hand gestures to convey emotions during conversations. 2. Enhanced Visualisation and Data Analysis The Vision Pro allows complex data sets to be visualized in 3D, allowing for better comprehension and analysis. Employees can explore data from various perspectives, identify patterns, and make data-driven decisions more effectively. This technology has applications in fields such as data science, engineering, and architecture, where visualizing complex information is paramount. 3. Virtual Training and Simulations The Vision Pro's ability to transport users to virtual environments makes it a powerful tool for training and simulations. From flight simulators to medical procedures, employees can gain hands-on experience in a safe and controlled setting. This immersive training can reduce costs, enhance learning outcomes, and mitigate risks associated with real-world training scenarios. The Vision Pro device offers an AR/VR switch, presenting tangible advantages for numerous real-life scenarios. In disturbance-free environments such as homes or offices, users can opt for VR mode for an immersive experience, adds Taras. “Conversely, switching to AR mode can effectively eliminate disturbances in busy settings like factories or crowded areas. 4. Remote Work Enablement The COVID-19 pandemic accelerated the adoption of remote work, and the Vision Pro can further enhance this trend. This is good news for companies. Remote workers have reported significant benefits in terms of productivity and work-life balance, with a staggering 77 percent experiencing greater productivity compared to working in a traditional office setting. What's more, remote workers are 52 percent less likely to take time off. You could significantly improve your brainstorming sessions with the feature allowing you to split the audience into smaller collaborative spaces, similar to the functionality found in Zoom. You could create and work collaboratively on interactive content like images, schemes, presentations, etc. Meta Horizon Workrooms has incorporated this approach. With the Vision Pro's advanced audiovisual capabilities and virtual collaboration tools, employees can feel more connected and engaged while working remotely. The headset's ability to create virtual workspaces and facilitate seamless communication bridges the physical distance between team members, fostering productivity and collaboration. 5. Efficient Information Access The Vision Pro's augmented reality features enable employees to access information quickly and conveniently. In manufacturing, maintenance, and logistics industries, workers can overlay digital information onto the physical environment, improving efficiency and reducing errors. For example, technicians can receive real-time instructions and visual cues for equipment repairs, minimizing downtime and increasing productivity. 6. Focus and Distraction Management The Vision Pro offers features that can help manage distractions and enhance focus. With the ability to create personalized workspaces and filter out irrelevant information, employees can concentrate on critical tasks without being overwhelmed by external stimuli. This feature is particularly beneficial for knowledge workers who deal with information overload on a daily basis. Technology Is Key to Unlocking Productivity Apple's Vision Pro headset holds immense potential to revolutionize workplace productivity and transform how we interact with digital information. By leveraging its spatial computing capabilities, the Vision Pro can streamline multitasking, enhance data visualization, facilitate virtual training, enable remote work, provide efficient information access, and improve focus management. Considering the device's weight and ergonomics, Apple made it much more convenient than its competitors. But even if you get tired from continuous focus at a fixed distance, which may cause strain over time, you can switch to AR mode to look at some distant objects giving your eyes some rest, adds Taras. The future of productivity is here, and with Apple's Vision Pro, businesses can step into a new era of efficiency and innovation. To fully leverage the benefits of this innovative technology, organizations can collaborate with VR software development experts to create tailored applications that meet their specific needs. Ready to start using the immense potential of VR to boost your workplace productivity? Get in touch. Also published . here

How Apple’s Vision Pro Goggles can Improve Productivity in the Workplace

অ্যাপলের ভিশন প্রো গগলস কীভাবে কর্মক্ষেত্রে উত্পাদনশীলতা উন্নত করতে পারে

Wie die Vision Pro-Brille von Apple die Produktivität am Arbeitsplatz verbessern kann

Cómo las gafas Vision Pro de Apple pueden mejorar la productividad en el lugar de trabajo

Comment les lunettes Vision Pro d'Apple peuvent améliorer la productivité sur le lieu de travail

कैसे Apple का विज़न प्रो गॉगल्स कार्यस्थल में उत्पादकता में सुधार कर सकता है

Apple の Vision Pro ゴーグルが職場の生産性をいかに向上させるか

Apple의 Vision Pro 고글이 직장에서 생산성을 향상시키는 방법

Como os óculos Vision Pro da Apple podem melhorar a produtividade no local de trabalho

Как очки Apple Vision Pro могут повысить производительность на рабочем месте

Apple'ın Vision Pro Gözlükleri İşyerinde Verimliliği Nasıl Artırabilir?

Kính Vision Pro của Apple có thể cải thiện năng suất tại nơi làm việc như thế nào

Apple Vision Pro 护目镜如何提高工作场所的生产力

The metaverse concept has gained much attention recently, as it promises a virtual space where individuals can interact and connect in real-time. However, the overall idea and its user experience design have some shortcomings. This article will explore some of the reasons behind these setbacks. Metaverse: brief overview Let's first start with defining what the metaverse really is. This term refers to a virtual world or universe where individuals can engage with each other in real-time. It is a shared space that combines virtual realities, offering users an array of experiences and diverse means of interaction. The vision for the metaverse is to create a shared online world accessible to anyone worldwide through various devices – enabling people to live, work, play and socialise. According to Statista, the metaverse market value is expected to reach $507.8 billion by 2030. Dzianis Aviaryanau, a Middle Experience Designer at ELEKS, has been following the metaverse's development closely and observed that it has failed in many ways. So, let's shift our focus to the factors contributing to these failures. AI overshadowing the importance of UX One significant challenge in the metaverse is the prevalence of AI. While AI technology has been crucial in metaverse development, it has simultaneously neglected the importance of good experience design. It has led to developers focusing too much on technical aspects of the metaverse - creating complex algorithms and designing intricate environments - rather than user experience, resulting in frustrating and confusing user flows. Dzianis Aviaryanau, a Middle Experience Designer at ELEKS. Let's face the truth: it's not a novel issue. Meta - former Facebook - has had troubles with the interfaces and overly relied on its users' habits rather than easy-to-use user interfaces. - The thing is that users don't care much about technical aspects of the metaverse; their main priority is the intuitive and smooth experience that allows them to interact with others and engage meaningfully with the environment. Unfortunately, many metaverse experiences are too complex and challenging to navigate, with too many options and features that overwhelm users. The lack of intuitive navigation and utilisation of the metaverse can lead to user frustration and confusion. User engagement hurdles Another problem with metaspaces is that some developers create disjointed experiences without clear tasks and goals. It can have users wander aimlessly, confused and unsure what to do and how to engage with the metaverse. In this case, the strategic can have a significant impact. Developers can enhance user engagement and satisfaction by prioritising simplicity and user-centric design. product design In addition, some metaverse experiences are troubled with tech issues, including lagging, crashing and slow loading time, which can hinder engagement and even drive the users away completely. Technical and hardware strains As we indicated above, technical issues are among the main metaverse problems. However, the reason behind the rise of such matters is the sheer amount of computing power that the metaverse requires. The digital world provided by the metaverse is constantly transforming and evolving in real-time, creating large amounts of data. It requires significant processing capacity, which can overload the hardware. For instance, some metaspaces need high-end PCs or specialised equipment inaccessible to the broader audience. Moreover, modern VR equipment doesn't provide a seamless user experience. It's either too heavy and wired but powerful enough or lightweight and wireless but laggy and weak. Nowadays, devices usually fall short of satisfying the wide-ranging and diverse needs of the target audience. Challenges of metaverse algorithms And one shortcoming of the metaverse is that some of its algorithms are ineffective or way too complex. For example, some user behaviour-tracking algorithms failed to obtain accurate results. Consequently, user engagement and satisfaction can drop due to irrelevant recommendations or a struggle to find relevant information. Conclusions So, with all these issues, is the metaverse doomed to fail? Not necessarily. While the experiment with user experience design for the metaverse must be improved, this technology still has potential. For example, AI could be used to improve the user experience in the metaverse by anticipating user behaviour and providing relevant recommendations. By analysing user data and patterns, AI could help designers create metaverse environments tailored to reach specific goals and fully satisfy their users' needs. Want to create a user-friendly metaverse environment? Contact us today! Also appears . here

Metaverse Problems: Unmasking the Flaws in UX Design

মেটাভার্স সমস্যা: ইউএক্স ডিজাইনের ত্রুটিগুলি মুক্ত করা

Metaverse-Probleme: Die Mängel im UX-Design aufdecken

Problemas del metaverso: desenmascarar las fallas en el diseño de UX

Problèmes de métaverse : démasquer les failles de la conception UX

मेटावर्स समस्याएं: यूएक्स डिज़ाइन में खामियों को उजागर करना

メタバースの問題: UX デザインの欠陥を明らかにする

메타버스 문제: UX 디자인의 결함 밝히기

Problemas do metaverso: desmascarando as falhas no design UX

Проблемы метавселенной: разоблачение недостатков UX-дизайна

Metaverse Sorunları: UX Tasarımındaki Kusurların Maskesini Ortaya Çıkarma

Các vấn đề về Metaverse: Vạch trần những sai sót trong thiết kế UX

元宇宙问题：揭露用户体验设计中的缺陷

The energy sector is undergoing a paradigm shift as the world clamors for more environmentally friendly energy solutions — and with it, the need to develop innovative power products. In this article, we'll explore how energy industry trends affect innovations and lead to a more sustainable future. Technological advancements have already revamped many facets of the energy sector, from production to transmission and storage. The mere presence of smart grids, energy-efficient appliances, and other innovative energy solutions is invaluable. However, it is essential to acknowledge that while these innovations may have some differences, they all share a common goal — prioritizing sustainability and increasing our reliance on renewable energy sources. The ELEKS’ Head of Product Design Office, Oleg Slyusarchuk shared his expert opinion on the main trends that are driving the development of sustainability-driven digital products for the energy sector. Staying up to date with key energy industry trends 1. Renewable energy revolution The world is undergoing a renewable energy revolution, and it's time to embrace this change. With the increasing demand for energy and the growing concerns about climate change, green energy sources such as solar, wind, and hydropower are becoming more popular. According to , solar and wind energy consumption is expected to surge 11% during 2023. Economist Intelligence Harnessing the power of renewable energy revolves around a fundamental principle — tapping into an endless supply of natural resources within our environment and converting them into practical electricity or sustainable fuels. In this pivotal endeavor, product design assumes a crucial role, driving the creation of groundbreaking solutions to capture, store, and effectively harness renewable energy. As consumer demand for sustainable energy sources like solar and wind power continues to rise, energy companies find themselves at a pivotal juncture to proactively meet this demand. They have an opportunity to embrace renewable energy themselves and provide customers with renewable energy choices. These options can encompass community solar initiatives and eco-friendly energy tariffs, empowering consumers to participate in the clean energy movement. Moreover, individuals are increasingly interested in generating power through distributed energy resources (DERs) like solar panels and energy storage systems. By offering DER solutions and services such as net metering and virtual power plants, energy companies can effectively cater to this growing preference for decentralized energy generation and consumption. With an array of innovative technologies available to generate power from renewables, this trend has become one of the most significant developments within the energy industry today, and many governments, companies, and individuals are already reaping its benefits. Renewable energy: real-life applications With the help of the European Union, small and medium enterprises in Kosovo have embraced the promising realm of renewable energy, reaping remarkable rewards. For instance, Forma SHPK, a medium-sized enterprise specializing in plastic product manufacturing, made a strategic investment in solar panels. The outcome has been twofold: a substantial reduction in energy expenses and a significant stride toward environmental preservation. Forma SHPK successfully installed a robust system, resulting in an impressive 80% reduction in energy costs. 112kWp solar panel 2. Energy storage transformation While renewable energy sources offer immense benefits, they often face a significant challenge: maintaining a consistent output throughout the year. Solar panels excel in sun-drenched regions but cannot generate power at night or during cloudy days. Similarly, wind power can be a potent source of electricity, but it relies on the whims of the wind. Recognizing this, the renewable energy sector has embraced a crucial trend: finding innovative ways to store surplus power when production conditions are optimal. Storage projects in power applications primarily aim to accumulate excess renewable energy and unleash it when needed. This stored energy is pivotal in alleviating grid strain during peak periods while empowering prosumers to profit from expensive energy purchases. Energy storage technologies, including batteries and pumped hydro storage, are increasingly vital in shifting toward customer-centric energy ecosystems. Energy storage enhances resilience by effectively balancing the grid and providing backup power during outages. Furthermore, it enables customers to store energy generated from their own distributed energy resources, harnessing it at their convenience. Many companies have entered the energy storage market diligently working to address the energy storage challenge. Energy storage: real-life implementations By leveraging the intermittent power generated by renewable sources like solar and wind, Energy Vault's, a Swiss startup, the innovative solution ensures a consistent supply of baseload power around the clock. Inspired by the proven concept of pumped-storage plants, their system harnesses the power of gravity and the movement of water to deliver unparalleled performance. Another example is Energy Storage Technologies’ solution, that revolves around a hydrogen on-demand (HOD) system. Setting itself apart from conventional methods, this innovative system eliminates the need for compressors and tanks by producing hydrogen precisely when needed. Furthermore, STOREH's storage solution employs natural and environmentally friendly materials like zinc and water. STOREH 3. Digitalisation revamping the energy sector The imperative of digital transformation reverberates across industries, with the energy industry no exception. As the array of energy sources expands, managing such a dynamic system requires highly sophisticated automation and analytics. Supporting technologies, including predictive artificial intelligence, machine learning, the Internet of Things, and blockchain, play a pivotal role in studying demand patterns and dynamically adjusting power allocation across distributed grids. The power of digitalisation and data analytics takes centre stage in the seamless integration of distributed energy resources and energy storage into the grid. By harnessing these transformative technologies, customers can access real-time information about their energy usage and associated costs. Thus, customers can make informed decisions about their energy consumption, optimising efficiency and cost-effectiveness. Simultaneously, utilities benefit from the ability to effectively manage the grid, promptly responding to fluctuations in supply and demand. This synergy of digitalisation and data analytics empowers customers and utilities to navigate the energy landscape with precision, ensuring a harmonious and dynamic energy ecosystem. At the forefront of this digital revolution, smart grid infrastructure is a prominent trend in the energy industry. Smart grids leverage advanced sensors and automation systems to enhance efficiency and curtail power wastage within distribution networks. This empowers utilities to optimize resource management, bolstering reliability by mitigating issues like overloaded circuits or equipment failures, thus minimizing outages. In technological advancements, autonomous energy systems are poised to gain significant traction in the coming years, primarily fueled by strides in AI and ML. These innovative systems enable utilities to monitor their operations autonomously, identifying areas for improvement and optimizing performance with minimal reliance on manual intervention from on-site operators and technicians. This pioneering shift towards autonomy promises enhanced operational efficacy and streamlined maintenance processes. Digitalization in the energy industry: real-life solutions At ELEKS, we have years of experience addressing the challenges of the energy sector with advanced digital products. We have developed our own solution, , a software product crafted by the experts at ELEKS to revolutionize real-time power systems management within vast power networks. This solution empowers organizations with automated system stability analysis and optimized load flow calculations, resulting in unparalleled operational efficiency. By centralizing data storage and equipping users with specialized data management tools. DAKAR DAKAR's impact extends beyond the realm of efficiency as well. During times of adversity, such as constant missile attacks on the electric power system in Ukraine, DAKAR played a pivotal role. By modeling the optimal plan to power critical infrastructure, it skillfully balanced reduced power generation and current consumption, creating a schedule for emergency shutdowns. This critical functionality helped maintain the stability of the power system, safeguarding essential services even in the face of imminent threats. While the energy and power business landscape constantly evolves, we can see that no trend is set in stone. To successfully navigate this intricate environment and stay ahead of the competition, more and more companies are turning to sustainability consulting experts like ELEKS, who possess the knowledge and expertise to guide them toward a greener future. Conclusion The energy industry is undergoing a remarkable transformation driven by the need for sustainability and the increasing demand for environmentally friendly energy solutions. Technological advancements have revolutionized various aspects of the energy sector, developing innovative power products. These products prioritize sustainability and rely on renewable energy sources, aligning with the global movement towards a more sustainable future. Renewable energy, innovative energy storage solutions, and digitalization are among the key trends shaping the energy industry. Real-life examples illustrate the successful implementation of these trends. From medium-sized enterprises in Kosovo adopting solar panels and reducing energy costs to Swiss startup Energy Vault's innovative solution for consistent baseload power, there are tangible benefits to embracing renewable energy and energy storage. The impact of digitalization is evident through software solutions like DAKAR, which revolutionize power systems management and ensure operational efficiency and stability. Also published . here for sustainable solutions and expert guidance in the energy industry's evolving landscape. Let's build a greener future together. Contact us today

Energy Industry Trends Fueling the Evolution of Power Products

Tendencias de la industria energética que impulsan la evolución de los productos energéticos

Les tendances du secteur de l'énergie alimentent l'évolution des produits énergétiques

ऊर्जा उद्योग के रुझान बिजली उत्पादों के विकास को बढ़ावा दे रहे हैं

汎用製品の進化を促進するエネルギー業界の動向

Tendências do setor de energia alimentando a evolução dos produtos de energia

Xu hướng ngành năng lượng thúc đẩy sự phát triển của các sản phẩm năng lượng

能源行业趋势推动电力产品的发展

As the world's population grows, finding ways to reduce waste and conserve resources is becoming increasingly important. Governments, businesses and individuals work together to implement efficient and sustainable waste management technologies to achieve this goal. The problem of waste is an increasingly severe environmental issue worldwide. reports that by 2050 humans will produce 3.4 billion metric tons of waste annually. Therefore, it is essential to address this growing problem; experts in and innovative technologies can help revamp waste handling and disposal for enhanced efficiency and environmental protection. Statista sustainability consulting What is waste management technology? Software development and innovative technologies are playing a significant role in improving waste management. Waste management technology refers to the various methods and techniques used to manage, treat, and dispose of waste materials in an efficient and environmentally friendly manner. It includes solutions powered by advanced sensors, automation, artificial intelligence and other technologies that are used for collecting, sorting, recycling, composting, incinerating, and landfilling waste. Waste management technologies are vital to unlocking a range of environmental benefits. Here are some of the most common ones: Amongst the most significant is an – helping to ensure that rubbish is gathered and dealt with promptly and effectively, minimising the amount of waste that ends up in landfills or pollutes the environment while maximising resource recovery and energy generation from waste. efficient waste collection Another benefit is utilizing waste-to-energy plants to drastically. These innovative facilities convert waste into energy and effectively decrease greenhouse gas emissions - a crucial step towards preserving our planet for future generations. reduce detrimental environmental impact Implementing improved waste management methods can significantly by mitigating potential risks associated with disease and contamination from neglected refuse materials. improve public health outcomes According to the , out of the 40 million tons of plastic waste produced in the US during 2021, a mere fraction ranging between five to six per cent, equivalent to approximately two million metric tonnes, has been recycled. The adoption of waste management technologies can result in a significant . Thus, not only reducing the amount of waste in landfills but also conserving natural resources and curtailing the need for additional landfill sites. World Economic Forum increase in recycling rates Overall, waste management technologies provide various ecological advantages that help protect our planet for future generations. Waste Management: key technologies and real-life applications The latest waste management technologies positively impact the environment by helping to tackle global problems sustainably. These cutting-edge solutions are designed to adapt to the needs of modern businesses, cities and urban landscapes and are implemented worldwide. Here are some of the most promising: 1. Waste management applications Waste management applications are the ultimate solution for individuals and businesses seeking to manage waste efficiently and sustainably. These apps offer many features that simplify waste management, from tracking production levels to identifying optimal disposal options. Whether on a smartphone, tablet, or computer, there are numerous waste management apps. While all these apps offer similar functionality, mobile apps are more convenient for users who require access to waste management information while moving. Additionally, businesses may wish to consider developing their own custom app tailored specifically to their unique needs to maximize efficiency and minimize waste. Some common features of mobile and desktop waste management apps include: – helps users reduce the amount and type of waste they generate over time. By tracking their waste output, users can identify patterns and areas where they can make changes to reduce their overall impact. Waste tracking – apps can offer invaluable tips and advice on reducing your waste footprint, from recycling strategies to composting techniques and beyond. Waste reduction tips – apps can help users discover how to dispose of various types of waste, such as hazardous materials or electronic waste. Disposal options – users can generate reports on their waste management practices, which can be essential for businesses or organizations looking to track their sustainability efforts. Reporting At ELEKS, we have successful implemented this technology. Our client eTracks launched its Sustainable Recovery Platform – powered by ELEKS – to help manage recyclable materials, organisations' compliance with regulations, and resource recovery data accuracy. The platform aims to divert waste from landfills and support a circular economy. Read more about the solution here: . A Comprehensive Data Management Platform to Manage Recycling Processes Data from End to End 2. Smart waste bins If you're looking for a way to modernize your waste management system, installing smart bins is the answer. Smart waste bins are equipped with sensors and other advanced technologies, like artificial intelligence of things, computer vision, robotics, etc., that enable them to collect data on the amount of waste being generated, monitor fill levels, and optimize collection routes. These hi-tech containers can detect when they need to be emptied and alert users accordingly. Waste sorting is an integral part of environmentally-conscious waste disposal, but many people make mistakes when disposing of their waste materials. Artificial intelligence-powered smart bins can help eliminate human error and make the process more efficient. These smart bins can differentiate between recyclable materials and regular waste, making it easier for us to recycle properly. This technology is already being successfully implemented in many real-life scenarios. For example, , smart waste bin, sorts and compresses waste automatically, controls the fill level, and processes data for convenient waste management. Another example is smart bins that use solar power to compact waste and send notifications when they need to be emptied. As more and more businesses adopt these technologies, it becomes clearer that they are highly effective at streamlining operations and reducing costs. Bin-e Bigbelly 3. AI and robotics waste sorting AI waste sorting refers to using artificial intelligence technology to sort and classify different waste materials. It involves the use of computer vision, machine learning algorithms, and robotics to identify and separate recyclable materials from non-recyclable ones. The process begins with a camera or sensor system that captures images of the waste material as it moves along a conveyor belt. The AI system then analyses these images using pattern recognition algorithms to identify different types of materials, such as plastic, metal, glass, paper, and organic waste. Once identified, the AI system directs robots or other mechanical devices to pick up and sort each type of material into designated bins or containers. This automated process is faster and more efficient than manual sorting methods, reducing labor costs and increasing recycling rates. For instance, , a multi-utility company in Italy, set out to capture footage of incoming garbage to automate trash identification using AI technology for reuse and recovery purposes. Another example is German startup , which makes autonomous trash-picking robots that use AI and machine vision to identify and automatically pick up cigarette butts, bottle caps, or plastic scraps in parks. The sensors help the robot avoid collisions during autonomous navigation while also reducing the time spent by cleaning personnel so they can focus on other demanding tasks. HERA Angsa Robotics Key takeaways Waste management technology is vital to addressing the burgeoning problem of waste production, conserving resources and safeguarding the environment. The advantages of waste management technology include more efficient waste collection, exploiting wasted energy plants, enhanced public health outcomes and an increase in recycling rates. Waste management technologies, such as waste management applications, smart waste bins, and AI and robotics waste sorting, are already being implemented globally, offering numerous ecological advantages that help protect our planet for future generations. Looking to take your business up a notch and make your operations more sustainable? Get in touch with our experts today! Also published . here

Boosting Business Sustainability Through Waste Management Technology

Impulsar la sostenibilidad empresarial a través de la tecnología de gestión de residuos

Stimuler la durabilité des entreprises grâce à la technologie de gestion des déchets

अपशिष्ट प्रबंधन प्रौद्योगिकी के माध्यम से व्यावसायिक स्थिरता को बढ़ावा देना

廃棄物管理技術で事業の持続可能性を高める

Impulsionando a sustentabilidade dos negócios por meio da tecnologia de gerenciamento de resíduos

Thúc đẩy sự bền vững của doanh nghiệp thông qua công nghệ quản lý chất thải

通过废物管理技术促进业务可持续性

ELEKS

eleks.com

1K-5K employees

Since 1991

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ELEKS

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ELEKS

eleks.com

1K-5K employees

Since 1991

COMPANY RANKING

ELEKS

EVERGREEN INDEX #1501

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