Team Atmecs, Author at ATMECS

End-To-End Testing In Cypress

End-to-End Testing With Cypress Author: Saravana Prakash J A positive user experience in any application is essential to keep customers loyal to the product or brand. End-to-end testing is done to evaluate this user experience as well as any other bugs in tasks and processes that any application might have. The testing approach starts from the end user’s perspective and simulates a real-world scenario. End-to-end testing and its benefits End-to-end testing covers parts of an application that unit tests and integration tests seldom cover. The primary reason is that unit tests and integration tests take a part of the application and assess the functionality of that part in isolation. Even if these isolated parts of the application work well individually, there is no guarantee that they will work seamlessly as a whole. Applying end-to-end testing allows you to test the functionality of the entire application. End-to-end testing is reliable and widely adopted because of its many benefits, such as: Reduction in efforts and costs Increase in the application productivity Detection of more bugs Expansion of test coverage Information on the application’s health Reduction in time taken for the launch of the application in the market Tests are done from the end user’s perspective Holistic approach As an application scales to a greater level of complexity with additional features, adding even a small padding or margin can break the application in several places. At this stage, it becomes expensive to hire test engineers who will test the flow of the application in different scenarios from an end user’s perspective. To mitigate this, automated end-to-end testing tools can be used to reduce the time taken to test an application and the costs related to software product testing. Studies suggest that global cybercrime costs will reportedly rise by almost 15% annually over the next four years. If you are not convinced about the importance of cybersecurity in curbing these threats, the following points will help you understand its significance. Choosing Cypress as your automated testing tool As applications evolve, so does the requirement for a testing tool that can handle different types of frameworks like Ruby on rails, Django, modern PHP, etc. There are many automated end-to-end testing tools available in the market, the most well-known being Selenium. But, in this article, we will focus on the capabilities of Cypress as the choice for an end-to-end testing tool. What is Cypress? Cypress is a comparatively new automated testing tool that is quickly gaining popularity. It is based on JavaScript and is built for the modern web. Contrary to the popular myth that Cypress can only be used to test JavaScript or node friendly applications, Cypress can actually be used to test any type of application. It was created to address the pain points QA engineers face while testing an application and is also developer-friendly. It operates directly in the browser and uses a unique Document Object Model (DOM) manipulation technique. Cypress allows you to create unit tests, integration tests as well as end-to-end tests. It is designed particularly for front-end developers. Pros of using Cypress Whenever you run a test on Cypress, it opens up a browser that allows you to see the tests being executed as well as the flow of the application in real-time, side by side. It also allows you to go back to the beginning and check which tests have failed and what that test’s output was, which is quite helpful in pinpointing and fixing bugs seamlessly. In addition to taking a screenshot of the test, Cypress also allows you to record a video of the entire testing process. This helps developers better visualize the bug and where the bug is occurring in the application. One of Cypress’ most powerful use cases is that it can run in your Continuous Integration (CI) pipeline. Anytime there is a change in your codebase, your CI pipeline will automatically run all your Cypress tests to ensure that nothing has broken in your application. Cypress also offers the option of parallelization, where different tests can run with multiple Cypress agents at the same time. The benefit is that it greatly reduces the overall time for running your tests. The code, the library, and the vocabulary used in Cypress are beginner friendly. Cons of using Cypress One of the main cons of using Cypress is that it does not allow testing of features which require the application to open another tab or browser. This is because, in Cypress, all the tests are performed in a single browser tab. At the moment, Cypress does not provide support for browsers like Safari and Internet Explorer. Conclusion Automated end-to-end testing tools have proved their benefits and are here to stay for the long run.Cypress is the next-generation testing tool, and its growing popularity is attributed to the fact that it is open-source and is constantly evolving. Its pros outweigh its cons, and is an excellent alternative to Selenium as an end-to-end testing tool.

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Cybersecurity: Its Significance And Top Trends

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Cybersecurity: Its Significance And Top Trends ATMECS – Content Team Cybercrime had cost the world $6 trillion in 2021. The costs are expected to increase up to $10.5 trillion by 2025. Investing in cybersecurity is the best course of action to protect against or deter criminal activities like hacking, unauthorized access, and attacks on data centers or computerized systems. It helps safeguard connected systems like software, hardware, and data from multiple threats and defends computers, mobile devices, servers, networks, and other electronic devices from malicious attacks. The best cybersecurity strategies provide an efficient security posture against cyber threats and malicious attacks that aim to access, change, destroy, delete, or extort systems and sensitive data. Why is cybersecurity critical? Cybersecurity is vital to minimize the risk of cyberattacks, and secure data and systems. The proliferation of digital technology, increased dependence on the internet and smart devices, complex global supply chains, and critical digital economy data have led to an increased probability of cyberattacks. Individuals, organizations, governments, educational institutions, etc., are all at risk of data breaches and cyberattacks. No one is immune to the cyber threats of today. Studies suggest that global cybercrime costs will reportedly rise by almost 15% annually over the next four years. If you are not convinced about the importance of cybersecurity in curbing these threats, the following points will help you understand its significance. Increased exposure of organizations to attacks Cybercriminals try to access organizational data through employees, and the increased use of internet services and IoT devices worsens the problem. The criminals hack into the system by sending fraudulent messages and emails. Organizations with minimal or less than optimal security protocols cannot tackle such security threats. Organizations have to beat such threats 100% of the time while cybercriminals need to win only once to do irreparable damage. This is the reason why cybersecurity is critical in proactively preventing theft, hacking, fraudulent emails, viruses etc., before it happens. Increased cybersecurity threats to individuals Hackers may steal an individual’s personal information and sell it in unlegislated or unregulated markets like the dark web for profit. All data on personal mobile phones, computers, or other digital platforms is no longer safe. Individuals with high-profile identities or at-risk segments like senior citizens are the most vulnerable. Phishing, where the attacker sends fraudulent messages that appear to come from a recognized source, is one of the most frequent types of cyberthreats. Phishing algorithms run behind the scenes stealing login information and sensitive data and in many cases, installing malware on the devices. If you see a lot of emails in your inbox’s spam folder, chances are you received a phishing email. Expensive data breach costs Organizations cannot afford data breaches. Even the smallest data breach can amount to exponential losses due to litigation costs. Data breaches on average cost $3.62 million, leading many small organizations to go out of business. According to recent research, the cost of breaches has increased quite a bit, and new vulnerabilities have prompted hackers to launch automated attacks on systems. Modern day hacking Hacking and data breaches threaten network systems and make them vulnerable. Present-day cybercriminals range from privately funded individuals to activist outfits, from anarchists to well trained state sponsored actors. The scope of cyberattacks have also widened to include: Information systems and network infiltration Password sniffing Website defacement Breach of access Instant messaging abuse Web browser exploitation Intellectual Property (IP) theft Unauthorized access to systems Increasing vulnerabilities Malicious actors take advantage of everyone – from business organizations and professionals to educational and health institutions. Vulnerabilities are prevalent everywhere, and every system is facing a new security threat. Cybersecurity professionals are constantly playing catch-up to mitigate the risks related to data and system security. Which are the top cybersecurity trends? The year 2022 is all about digital business processes and hybrid work, making it difficult for cybersecurity teams to ensure secured individual or organizational networks. The hybrid working environment has highlighted the need for security monitoring to prevent attacks on cyber-physical systems. Identity threat detection and response will be on top of the list for security leaders across organizations that engage multiple vendors for their IT needs. Data suggests 45% of organizations will experience attacks on software supply chains by 2025, three times as much as 2021. Vendor consolidation leading to a single platform for multiple security needs will cause disruption in the cybersecurity market but offer respite to consumers through innovative pricing and licensing models. One of the most talked about trends is the emergence of the cybersecurity mesh. A cybersecurity mesh is a conceptual approach to a security architecture that helps distributed enterprises integrate security into their assets. It is expected to reduce the financial impact of security incidents by 90% by 2024. Many organizations still don’t have a dedicated Chief Information Security Officer. It is expected that the CISO role will gain significant traction and the office of CISO will emulate both a decentralized and centralized model for greater agility and responsiveness. It is time to pay close attention to the aforementioned trends and understand the risks/benefits associated with cybersecurity. Organizations and individuals investing in development of best practices with respect to data and information security will not only insulate themselves from today’s cyber threats but also lay the foundation for sustainable growth in the future. How can ATMECS help? ATMECS Cybersecurity Practice helps our clients protect themselves against today’s cyberthreats with both tactical and strategic solution offerings. Our practice follows a metrics-driven approach to providing resilient and reliable security services and preventing cyber threats. We understand business risks, evolve mitigation measures for data threats and attacks, and enable security posturing to ensure an efficient working system. We provide scalable services that handle all our clients’ cybersecurity needs. References 8 Huge Cybersecurity Trends (2022) – Link Alarming Cyber Statistics For Mid-Year 2022 That You Need To Know – Link 7 Top Trends in Cybersecurity for 2022 – Link TOP TRENDS IN CYBERSECURITY 2022 – Link DEFENDING THE EXPANDING ATTACK

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When To Choose Edge Computing?

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When Should You Choose Edge Computing Over Cloud Computing? ATMECS – Content Team When Should You Choose Edge Computing Over Cloud Computing? It is a distributed IT architecture and computing framework that includes multiple devices and networks at or near the users. It processes data near the generation source and enables processing at a higher volume and speed resulting in real-time action-led results. It helps business organizations by offering faster insights, better bandwidth availability, and improved response times. The process enables organizations to improve how they use and manage physical assets and create interactive human experiences. How is edge computing different from cloud computing? Cloud computing involves the deployment of different resources like databases, storage, servers, software, networking, etc., through the internet. Edge computing, on the other hand, helps increase the responsiveness of the IT infrastructural resources by processing data near the generation source. Organizations and industry experts remain optimistic about cloud computing’s future growth, but a few others bet on the benefits of it. Here is a breakdown of the differences between edge and cloud computing. Speedy and agility Edge computing uses computational and analytical powers close to the datacenter to increase responsiveness and perception speed and boost well-designed applications. On the other hand, a traditional cloud computing setup does not match the speed of configured edge computing networks. This solutions provide low latency, high bandwidth, device-level processing, data offload, and trusted computing and storage. In addition, they use less bandwidth because data is processed locally. Scalability Scalability, in this type of computing, depends on device heterogeneity. This means performance levels vary across devices based on device specifications. However, cloud computing enables better scalability related to network, data storage, and processing capabilities through existing subscriptions or on-premise infrastructure. Productivity and performance The computing resources are close to end-users, which means the client data can get processed through AI-powered solutions and analytical tools that require real-time streaming of data. The process helps ensure operational efficiency and heightened productivity. Cloud computing removes the requirement of patching software or setting up hardware related to onsite datacenters, which enhances IT professionals’ productivity, improves organizational performance and minimizes latency. Cloud computing offers IAAS, PAAS and SAAS models as offerings catering to the infrastructure needs of organizations regardless of size or IT staff/expertise. Examples of edge computing It helps bring storage capabilities and data processing closer to ensure an efficient ecosystem. As the costs of ‘storage’ and ‘compute’ have been reducing steadily, the number of smart devices that can carry out various processing tasks with this computing is growing steadily as well. The variety of use cases are increasing along with the increasing capabilities of artificial intelligence (AI) and machine learning. Big Data, where volume, veracity, velocity and variety of data matters, is one area where this type of computing is poised to have the best business applications and returns on investment. Here are some examples of edge computing use cases: Autonomous vehicles By collecting and processing data about the location, direction, speed, traffic conditions and more, all in real time, autonomous vehicle manufacturers use edge computing to enhance efficiency, improve safety, decrease traffic congestion, and reduce accidents. Remote monitoring of oil and gas industry assets To enable careful monitoring of oil and gas assets, petroleum companies use edge technology to observe the oil and gas equipment, manage cost-cutting, and enhance productivity. The process also includes visual inspection or monitoring of remote sites. As edge computing enables real-time analytics with processing much closer to the asset there is less reliance on good quality connectivity to a centralized cloud. Smart grid technology Smart grid technology collaborates with edge computing to enable side-based decentralized storage and generation, optimize energy efficiency, innovate business models, predict maintenance in product lines, and improve overall operational operational efficiency. In-hospital patient monitoring Use of edge computing can allow the hospitals to process data locally to maintain data privacy. It also enables real-time notifications to practitioners of unusual patient trends or behaviours, and creation of 360-degree view patient dashboards for full visibility. Content delivery Edge computing enables fast, efficient and secure content delivery by leveraging APIs, websites, SaaS platforms, mobile applications, etc. Benefits of edge computing Edge computing optimizes data-driven capabilities by enabling data collection, reporting, and processing near the end user. The framework incurs multiple benefits during the process. Speed and latency With edge computing, data analysis is confined to the source where it was created and thus eliminating latency. The process leads to faster response times and makes the data relevant and actionable. Security Critical business and operational processes rely on actionable data that may be vulnerable to breaches and cyber threats. Edge computing helps diminish the impact of potential system risks and analyze the data locally providing security to the entire organization. Cost savings Edge computing helps categorize data from a management perspective by retaining it and reducing the requirement of costly bandwidth to connect different locations. The framework optimizes data flow, reduces redundancy, and minimizes operating costs. Reliability Devices that utilize edge computing can store and process data locally to improve its reliability. It helps eliminate temporary disruptions in connectivity and ensures zero impact on smart device operations. Scalability This computing ensures scalability by deploying IoT devices with data management and processing tools in a single implementation. It forwards the data to a centrally located datacenter to analyze the information and execute actions for faster business growth. Future outlook Edge computing will continue to improve with advanced tech enhancements like 5G connectivity, artificial intelligence (AI), and satellite mesh in the foreseeable future. The framework will help commoditize advanced technology by enabling wider access to high performance networks and automated machines. From software-enabled improvements to advanced computing solutions – the edge computing framework will open up opportunities for achieving organizational IT efficiencies through powerful processors, cheaper storage facilities, and improved network access. ATMECS aims to bring visible transformation in systems through edge-integrated development platforms and automation services. The company partners with multiple next-generation technology organizations to solve critical business

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Why is Graph Technology a Critical Enabler For Future Innovation?

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Graph Technologies – Why is Graph Technology a Critical Enabler For Future Innovation? ATMECS – Content Team Graph Technologies are one of the trending technologies nowadays to help analyze vast amounts of information. To understand why this is so, it may be useful to first understand what a graph is? A graph (or more commonly known as a network diagram) is simply a set of objects called nodes with interconnections called edges. And, why would one want/care to study graphs? Because they are everywhere. From a company’s internal email/chat data to complicated stock market trends, from social networks to information networks or even biological networks, graphs are ubiquitous. This is why gaining expertise in graph technology can set your company apart from competition. What Is Metaverse? Metaverse is not a single technology, solution, or platform. Instead, participating in the metaverse is all about using web 3.0 technologies to create an immersive experience for the audience. For businesses, investing in the metaverse is implementing newer internet technologies such as Extended Reality (XR), Virtual reality (VR), Mixed Reality (MR), Internet of Things (IoT), Augmented Reality (AR), and mirror worlds with digital twins to provide an interactive environment for the end user similar to the real-life interactions. It is a technology concept of mixing the physical and virtual worlds of the customers. The crux of the technology is to improve engagement through immersion. Currently, the video game industry is growing leaps and bounds with VR headsets and unimaginably realistic graphics. The introduction of Non-Fungible Tokens (NFTs) has also increased the popularity of the metaverse, where users can create, buy and sell NFTs. These portable digital assets continue to gain value and momentum, especially in the blockchain world. Users can use cryptocurrency to invest in NFTs. All evolving and established companies nowadays pay high salaries for graph analytics practitioners to help with their businesses and their clients. Graph technologies have different business aspects/challenges considered each time, making them a much sought field of expertise. Discerning relationships and interconnections we thought never existed now can be studied using graph technologies. Covid-19 proved that graph technologies to understand contact tracing were going to be very important to the future of technology. Digital marketers are breaking ground into behavioural analytics by studying the types of websites one visits in a given day through graphs. It is probably safe to surmise graph technology, while still in its nascent stages, can be guaranteed to be one of the top analysing techniques in the upcoming decades. Graph Technologies and all you need to know about them. Graph Technology is one of the most up-and-coming analytical technologies. It is often noticed that traditional graph analytics are not able to comprehend or discern patterns as the complexity and scale of today’s networks grows rapidly. Hence, the emergence of advanced graph technologies. Graphs aid in the visualization of data and maximize the understanding of the network relationships concepts. Since networks are easy to visually comprehend, the empirical observations of relationships or interconnections becomes straight forward. Graph Technology helps organizations with a new and effective way of processing, managing, and storing enormous amounts of data. It is an innovative approach leading to timely insights helping grow businesses. For ex: Think of studying a network of people you get emails from and ones to respond to in a given day. Extrapolating the idea across the organization, can help HR discern who the power centers are or who the next (hidden) leaders are in an organization. Imagine doing a similar study if you work in the travel desk of the organization. Understanding patterns in business travel with graph technology can save an organization millions of dollars every year. For deeper understanding, graph technologies can be divided into three sections. They are – graph theory, graph analytics, and graph databases. Graph Theory Herein the graphs are drawn up and used to connect different paths and links of the objects and their interlinked relationships. Almost everything can be studied through graph patterns and understood instantly. Graph theory is a prominent part of the process as it lays the foundation for the whole procedure to be carried out further. Graph Analytics Issues arising in different subjects can be resolved by observing the general trends of the graphs and predicting the upcoming course of the concerned area. One of the most common uses of such graph technologies can be seen in the stock market. If you are into speculation trading, understanding false positives and for that matter, even false negatives, can make you quite lucrative if you are an expert in graph analytics. Graph Databases Graph databases allow people to store the results produced after the process of graph analytics is completed. Previously held data can be compiled in the same database to be easily accessible afterward. Data collection is one of the most prevalent examples of graph databases. Few leading graph analytics tools and databases include but are not limited to: Amazon Neptune, IBM Graph, Neo4J (this author recommends), Oracle spatial and graph, DGraph, Data Stax, Cambridge Semantics Anzograph etc. Why will developers and analytics practitioners prefer Graph Technologies? Graph technologies have started growing in the past couple of years, but the real question is – Are graph technologies worth the hype? Traditional analytics are based on concepts with long codes and hours of programs whose results are promising and accurate but time-consuming. It has been observed that while a specific amount of data can take up to 1000-4000 lines of code, it can be overcomed easily by completing the task in less than 400 code lines in Graph analytics. Ease of learning, ease of understanding and use, ability to scale, ability to handle complexity are all compelling reasons why graph technologies have now become very attractive. As cloud computing matures, we will see more practitioners wanting to innovate in the graph technology space. Graph technologies have use cases across industry domains as networks exist virtually everywhere. Gaining expertise in graphing technologies will ensure an exciting career

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Investing In Metaverse – Is This For You?

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Investing In Metaverse – Is This For You? ATMECS – Content Team Metaverse – All the technology giants are having exciting conversations about the metaverse. The technology came into the limelight to the expected audience, especially after Mark Zuckerberg and Satya Nadella mentioned the metaverse being the internet’s future. It is a newly coined term that is confusing to understand. Let us explain in detail what the hype about the metaverse is. What Is Metaverse? Metaverse is not a single technology, solution, or platform. Instead, participating in the metaverse is all about using web 3.0 technologies to create an immersive experience for the audience. For businesses, investing in the platform is implementing newer internet technologies such as Extended Reality (XR), Virtual reality (VR), Mixed Reality (MR), Internet of Things (IoT), Augmented Reality (AR), and mirror worlds with digital twins to provide an interactive environment for the end user similar to the real-life interactions. It is a technology concept of mixing the physical and virtual worlds of the customers. The crux of the technology is to improve engagement through immersion. Currently, the video game industry is growing leaps and bounds with VR headsets and unimaginably realistic graphics. The introduction of Non-Fungible Tokens (NFTs) has also increased the popularity of the it, where users can create, buy and sell NFTs. These portable digital assets continue to gain value and momentum, especially in the blockchain world. Users can use cryptocurrency to invest in NFTs. What Is The Industry Outlook? Technology giants such as Meta (Facebook rebranded) and Microsoft are already building this technology to promote seamless interactions in the virtual world. Other companies such as Roblox, Nvidia, Unity, and Snap are also working to develop the necessary infrastructure to enable businesses to offer a truly immersed experience for end-users. According to Mckinsey reports, companies worldwide are investing in the metaverse, and more than $120 billion has been invested so far till 2022. About two-thirds of internet users are interested in being a part of the metaverse to explore, collaborate and connect with people. What Are The Right Business Cases? Critical Success Factor More than 95% of world executives believe their business will benefit from the metaverse. According to Gartner, 25% of people will spend at least one hour daily in the metaverse by 2026. The metaverse is expected to be an extended reality platform where avatars of consumers can live, shop, and even work. Facebook’s demo of Meta introduced the concept of an avatar participating in a social event in the metaverse with a friend’s avatar and interacting in the this universe. Leading brands like Gucci are already selling jewellery on it to decorate the avatars. Currently, businesses are expected to benefit from metaverse in the following ways: Immersive entertainment where avatars can participate in worldwide events happening in the metaverse Collaborative business processes with ubiquitous data Training and education supporting real-time interactions with live data streaming Improved customer experience by making the customer experience the products and services before purchasing Virtual meetings where avatars of the people will meet and interact in the metaverse mimicking real-life situations Improve brand marketing by increasing engagement with the customers in the metaverse Tips On Realizing ROI On Metaverse Projects The metaverse technology is expected to achieve full maturity by 2040 as the massive hardware, software, and infrastructure requirement. While VR is heavily used in gaming, businesses can generate profit from XR, AR, and MR. However, implementing this technology should happen slowly with care. Following are some of the tips to improve business ROI in the platform: Evaluate your strategy by identifying motivators and values that your audience will gain from engaging with your brand in it. Plan its implementation in a step-by-step manner, starting with small-scale testing to check the effectiveness of the campaigns. Educate your customers about NFTs and decentralized properties on it such as Sandbox, and Decentraland while directing them in the metaverse because it is now understood only by the niche audience. Create dynamic and engaging content that brings value to your customers when they spend time with your brand in it by incorporating clever gamification. Nurture your audience in the metaverse and build upon the values they get because continuous engagement in this platform is crucial to realising ROI. Develop clear metrics to measure the performance of your campaigns in the metaverse and keep improving the strategy. Experts predict that by 2030, this investment could grow to $5 trillion. Metaverse is being implemented in the public service system by the government of Seoul. It is also extensively used in the healthcare industry for robotic-assisted surgeries and remote diagnoses. We think this environment on web 3.0 will be inclusive allowing collaboration irrespective of physical barriers. This virtual universe brings new and exciting opportunities for every type of business when the infrastructure is fully mature. References The Metaverse in 2040 – Link Meet the metaverse: Creating real value in a virtual world – Link What Is the Metaverse, Exactly? – Link

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Smart Spaces – The Phygital World

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Smart Spaces – The Phygital World ATMECS – Content Team What is a Smart space A smart space is a physical or virtual environment; it provides an increasingly open, linked, integrated, and cognitive ecosystem where humans and technology-enabled systems interact in a smart area. “Smart cities”, “digital workplaces,” “smart settings,” and “ambient intelligence” are some of the several terms for smart spaces. Automated tools, invoicing, and preventive maintenance for premise infrastructure, are a few common applications. Smart spaces alter how individuals engage with one another and impact diverse locations’ decision support systems (e.g., buildings, industries, and venues). COVID-19 accelerated the commercial acceptance of it as de facto rules for employee safety and social isolation emerged. We will see more chances to deliver more connected, coordinated, and intelligent solutions throughout target settings as enterprises embrace the capacity of s to integrate legacy systems with new technologies like IoT, AI etc. This technology targets a considerable mass, as they have a comprehensive, cross-industry appeal and may be used wherever monitoring and controlling individuals or managing mobile traffic is necessary. Benefits provided by smart spaces for businesses: Environmental advantages and financial savings: By adjusting heating, cooling, and lighting in real-time in response to weather changes and building occupancy, smart spaces lower energy expenditures. Smart spaces decrease greenhouse emissions, save money, and can be controlled or monitored remotely. Risk reduction: Smart spaces’ surveillance and wireless connectivity characteristics enable managers to identify issues early and frequently assist in preventing them from occurring. Smart spaces may lower the cost of maintenance and annoyance to residents/occupants by predicting or discovering early signals of issues in the physical facilities and infrastructure. A safer, more intelligent environment for work and play: Security and surveillance systems in smart spaces make it safer for people living and working there, enhancing visitors’ experience. Through sensor warnings for the presence of (for example) housework or workout equipment, smart rooms can provide convenience. Rapid screening and testing during the pandemic for fans returning to stadiums is an example application. Face recognition, RFIDs and Biometrics technologies have contributed to larger acceptance and viable use cases. Advantages of smart space to individuals: Every quantifiable aspect of efficiency is improved in every area by smart space technology. Smart technology often focuses on lowering the overall operational expenses of buildings by avoiding resource and utility waste. Meters for electricity or water may readily be equipped with sensors, making them prime candidates for smart monitoring. In places with risks of danger or accidents, smart spaces promote safety and risk reduction. Smart technology, such as intelligent robots in industrial applications, can replace human employees doing dangerous activities. Productivity has grown by replacing humans with these robots in tedious and repetitive jobs like shifting inventory palettes. Smart environments improve user experience since previous smart technology applications have eliminated many “clerical” duties we perform daily, such as checking lights. Adopting this technology is now driven by the need to enhance occupants’ experience. Physical buildings are becoming more collaborative, informative, and effective thanks to smart office technology connecting remote employees, smart conference rooms, scheduling systems, and sensors covering every facility component. Some manufacturers advertise a sizable central wall display that serves as a focal point for company activities and shows real-time information. For example, a hospital may use this display to highlight which physicians are present, which surgeries are planned, or which rooms are occupied. Which technologies are applied to produce Smart space? A widely used framework categorizes smart spaces into three distinct environments that interact as one: a digital computing environment, the physical setting, and the human environment layer. Digital Computing Environment: This layer gives smart devices access to private network services or the internet, which enables them to connect to other components of the decentralized systems that run this environment. Technologies here may include but not limited to: AI, Computer vision, Speech Recognition, Block Chain, Distributed systems, 5G Wireless Connectivity. Physical Environment: The most diverse layer of smart spaces is the physical environment layer, which contains motion & proximity sensors, climate sensors (concerned with temperature, humidity, and pressure), accelerometers, magnetometers & gyroscopic sensors, gas & level sensors, RFID tagging, microprocessors etc. Human-environment layer: this includes devices that individuals carry with them, such as cellphones, smart wearable devices, and intrinsic smart devices like pacemakers. Different kinds of smart spaces include: Smart houses: Homes connect several household appliances and home systems, enhancing our living spaces’ efficiency and comfort. Smart buildings/venues: Smart buildings incorporate many characteristics of smart houses, including monitoring lighting, heating, cooling, security, access, parking areas, hydro and electricity meters, fire alarm systems, boilers, seating, roofing, and elevators etc. Smart industries: The networked smart factory has evolved into a smart space, a digital supply network where several factories and suppliers are interlinked. Smaller units may make choices based on system-wide data. Smart cities: For governance, smart cities are metropolitan regions supplied with smart space technology. Smart Stadiums: From crowd management to personalized concierge services, from 5G connectivity to instant replay notifications, smart stadiums like SoFi stadium in Los Angeles, CA are redefining the sports and entertainment experience. In Conclusion At ATMECS, we believe smart spaces offer tremendous opportunities for technological innovation and practical applications. As Bill Gates once said “The advance of technology is based on making it fit in so that you don’t really even notice it, so it’s part of everyday life.” Smart spaces are one such aspect of tech advancement where it infuses seamlessly with everyday life.

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Employee Health and Wellbeing at the Workplace

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Employee Health and Wellbeing at the Workplace ATMECS – Content Team Introduction A company’s success is strongly correlated with the contribution of its employees and their wellbeing. It is critical to prioritise employee well-being and establish a positive work culture to achieve and safeguard success. In this article, we will walk through the significance of maintaining optimal well-being levels for employees. One may also learn how to improve employees’ well-being for the best results in the immediate as well as long run. What Is Employee Well-being? When it comes to promoting satisfaction and delight among employees, employers tend to focus on the physical health benefits. Employee well-being was generally perceived as the mere absence of illness among employees. However, there is a broader perspective to it. Employee well-being refers to the physical and mental state of their because of the workplace environment. In other words, the term “employee well-being” has evolved beyond the traditional perspective of providing medical care to them. Employers are now aware of several factors that influence their happiness and are working to make their workers happier and healthier. Importance Of Employee Well-being With the outbreak of the pandemic, employers worldwide have come to realise how much their happiness affects company performance and how much empathy matters to the workforce. Reduced Absenteeism and Healthcare Costs The sedentary lifestyle of employees stemming from work from home scenarios has raised the risk of diabetes, high blood pressure, and other ailments. Companies, especially in the IT services industry, are taking proactive measures to guard against these challenges and address their stress and burnout. Employees who claim they are frequently or always burned out at work are also 63 per cent more likely to take sick days. The negative correlation between their happiness and absenteeism is a significant cost to employers and their reputation in the market. Recognising this, companies have been proactively organising wellness initiatives that make them feel engaged and part of a larger community and providing them emotional and mental security. Increased Employee Engagement When wellness initiatives are implemented in an effective manner, employees feel more connected, and consequently, their health improves, and their happiness rises. Companies also use employee rewards and recognition programs to boost their engagement. Sometimes, HR will need to be careful to neutralise any perceived bias. Consistent, transparent communication about the process of selection or feedback mechanisms need to be in place so that such engagements can be effective in the long term. Improved Employee Productivity It is observed that smokers are twice as likely to miss work, while obese workers miss three to six sick days per year more than those of normal weight. Employees who manage their health and nutrition tend to manage stress effectively, on the other hand, are less susceptible to burnout. Such employees are more focused on their work, and their productivity increases when they make conscious efforts towards their health and well-being. Improved Employee Morale The entire corporate world witnessed how critical it is to maintain their morale throughout the pandemic. Their morale can be improved by implementing well-being activities such as mental health workshops or a fitness competition across departments or teams. This fosters a healthy atmosphere while adding a bit of fun and competition into the equation. Challenges in Implementing Wellness Initiatives in the Workplace Following are the typical challenges faced by the companies in executing the well-being initiatives for their team. Setting And Measuring Goals Setting and monitoring goals are one of the most difficult aspects of workplace wellness initiatives. It can be difficult to get a clear picture of your present employees’ well-being. It may be quite a challenge to set KPIs at the organizational level. Not only are such KPIs subjective, but also inaccurate at times. Some of them may be hesitant to react or report honestly for fear of their concerns coming back to bite them. As a result, even anonymous surveys may not provide a whole picture. Creating the right atmosphere where such insecurities are addressed by highlighting the importance of wellness initiatives and their benefits, may be key in overcoming these challenges. Execution Another concern is the execution. Some businesses may be unable to deliver the programs that they promised. If they do act, the resources, and policies they support may not be widely implemented. Seeking feedback and acting on recorded feedback may help better execution. Ways to Improve Employee Well-being While employees have a responsibility to the growth and success of any company, employers have also risen to the call taking active responsibility for their employees overall wellbeing. Here’s some examples: Health Screening Flexible Work Options (Hybrid Working Model) Psychological Counselling Services Encourage Volunteer Opportunities In Conclusion When business leaders invest in developing effective well-being initiatives, most issues that impede employee happiness and performance vanish. Understanding and respecting employees’ boundaries, working habits, requirements and motivations will enable employers to present them with the finest yet personalised opportunities for growth. Communication is a key enabler to establishing this type of a positive work culture. Collaboration and team productivity improvements are automatic when employees feel secure in their work environment. It is also necessary for an employer to reward and recognise employees for their achievements, as such milestones are critical to a company’s success. However, relying primarily on outcomes can be tricky. It is easy to overlook the ideals of respect, personal development, individual effort, and well-being in a target-driven and competitive setting. In addition to recognising staff for their accomplishments the way the organization sees them, requesting the customer and their personnel to commend employees for their effort, patience, and perseverance adds significant value towards employee happiness and satisfaction. Demonstrating people development is a top priority for successful organizations. When employees see that they are first appreciated as people and then as performers, remarkable things happen for their organizations.

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Engineering change to accelerate digital transformation

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Engineering Change – Accelerating Digital Transformation ATMECS – Content Team Industry 4.0 offers several possibilities to today’s modern society. It promises valuable data, lower waste, and higher visibility into the comprehensive value stream for change leaders. New tools and sources of information are available to make processes efficient and profitable. Research and Markets estimate that the digital transformation market will increase by 23% to $3.3 trillion by 2025 (CAGR). However, implementing a digital transformation needs consensus across all levels. Though change leaders are open to new technology engineering, they may have to face a lot of resistance, albeit justified, along the way. For change leaders, efficiently implementing a digital transformation requires exhibiting value and building harmony throughout the hierarchy. The process from identifying a technological need for solving a business problem to efficient deployment is long. Change leaders convert it into a reality when they state their position effectively. Future Themes for Digital Transformation Based on industry data, Gartner research and our experience enabling deep tech solutions and services for our clients, here are some common themes of the best digital transformations that will shape the future. Process Automation and Virtualization A big part of the workforce, across all industry verticals, is seeing a rise in the use of technology to enable process efficiency and promote automation. With better process automation and virtualization, companies are gearing up for the next wave of transformation in their enterprise. AI-based, self-learning robots using assisted technologies like IoT etc., present development opportunities for humans to communicate better by adding granular information. With enhanced simulations and 4D printing, development processes have sped up while improving safety and operational practices. The proliferation of emerging technologies has helped companies navigate tricky labour-related issues and redefine their work methods. Total Experience – Breaking through silo thinking Understanding the voice of the customer is a critical success factor for any business. However, the role of “customer” has expanded to include every individual a company or a brand interacts with. Total experience refers to a blend of customer experience, employee experience, and user experience to state all possibilities and experiences for both customers and employees. With customers and employees going digital, “listening” to the total experience is the next big thing to enhance and improve the sustainability of transformational initiatives. Data Fabric to Enhance Decision Intelligence Companies notice a rising requirement for deeper insights and analytics through data generated by three sources – people, machines, and organizations. Decision Intelligence and Data Fabric are two significant trends that enhance data use effectiveness while easing human-driven data handling jobs. Data fabric integrates data across platforms and users and develops a central source that allows data accessibility anywhere needed. Decision Intelligence, on the other hand, enhances organizational decision-making by implementing Artificial Intelligence and Data Analytics to develop an intelligent platform that automates and enhances AI-based decision-making. Software 2.0 With improved hardware, businesses require programs using AI structures and automation to unravel better use cases such as machine-supported simulations and autonomous vehicles to do more without needing manual interference. Software 2.0 replaces programmers with neural networks that use ML to develop software and will remain on trend as its popularity is consistently rising. No-code or low-code setups are already seeing citizen developers take on roles that sophisticated developers once held. Modularized, repurpose-able product features’ engineering will enable companies to achieve greater speed to market. Distributed Enterprise Post pandemic, most organizations have adopted a hybrid approach, making them pivot business models to meet consumer and behavioural changes through remote working. Distributed enterprises allow a distant framework to virtualize consumer touchpoints and enhance relevant technologies. A recent Gartner study states that 75% of companies that use distributed enterprises will grow better than their contemporaries by 2023. Verticals Using Cloud-Native Platforms With the rise in digitalization, companies are moving their legacy applications and work to the Cloud through ‘lift and shift’ approaches. However, that approach does not work for all and typically hits roadblocks on scaling or elasticity. Businesses are adopting cloud-native platforms instead to automate their workloads and tasks and concentrate on competitive differentiation. Technology engineering is becoming increasingly important to help companies grow, develop and reshape the world. “Every company is a technology company” – is the new paradigm for business leaders. Often, however, leaders are left wondering about the gap between innovation and adoption. This is where change leadership comes in. Change leaders with a ‘Product/Service Management’ mindset tend to envision a strategic roadmap grounded in customer centricity and undertake implementations with a ‘no-compromise’ process orientation. These change leaders are champions of industry. Here are some considerations when you, as a change leader, want to implement your next large-scale digital transformation project. Change Leader Caveats Getting Buy-In from Key Stakeholders Digital transformations don’t yield sustainable results when businesses are not aligned on processes and outcomes. Indeed, most CIOs acknowledge improper focus, inefficient executive sponsorship, and resistance to change as major hindrances to successful transformation initiatives. Change leaders articulate the vision for digital transformation in a business structure and the glue for success in transformational initiatives. From acknowledging the employee’s efforts to tracking results, they work between business processes and outcomes. A critical responsibility of change leaders is to achieve stakeholder consensus across different levels of the organization. Change leaders must understand every role in the process chain above and below the surface level. Employees will always be anxious about new technologies causing disruption and making existing processes complex. It is the job of a change leader to build trust and awareness, reduce employee workload, gain consensus, enhance efficiency and effectiveness of daily work. They draft the vision for a digital transformation and support throughout the implementation such that it gets more efficient in the long run. Sponsoring Tools and Technologies that Enable Doing More with Less Digital transformations fall short of expectations when done in a piecemeal approach. Improper or ill-timed process modifications exacerbate the problem of data silos and lead to integration issues downstream. To derive best results, change leaders should promote

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