great place to work

Product Engineering

Atmecs blog

Why is Graph Technology a Critical Enabler For Future Innovation?

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 path.

Why is Graph Technology a Critical Enabler For Future Innovation? Read More »

Smart Spaces - The Phygital World

Smart Spaces – The Phygital World

Smart Spaces – The Phygital World ATMECS – Content Team 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 smart spaces 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 smart spaces to integrate legacy systems with new technologies like IoT, AI etc. Smart spaces target 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 smart space 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 the smart space 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: Smart 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.

Smart Spaces – The Phygital World Read More »