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Category: Technology

  • Tech Mahindra expands partnership with Google Cloud to scale enterprise-wide AI adoption – CRN

    Tech Mahindra expands partnership with Google Cloud to scale enterprise-wide AI adoption – CRN

    Tech Mahindra announced an expanded long-term strategic partnership with Google Cloud to boost the adoption of Artificial Intelligence (AI) and lead digital transformation for enterprises globally. The partnership will enable Tech Mahindra to help enterprises worldwide achieve agility, scalability, and sustainable growth through cutting-edge technologies. 

    The partnership will combine Tech Mahindra’s deep domain expertise with Google Cloud’s powerful AI capabilities, including Google’s Gemini models, AI development platform, and agentic AI technology to develop industry-specific solutions for sectors such as communications, healthcare and life sciences, manufacturing, automotive, retail, and financial services. Together, Tech Mahindra and Google Cloud will help enterprises modernise their infrastructure and data architecture while optimising the return on investment from their AI-powered cloud solutions.

    Atul Soneja, Chief Operating Officer, Tech Mahindra, said, “AI’s promise is undeniable, yet enterprises face significant challenges in its adoption, from ensuring compliance to driving tangible outcomes. Our expanded partnership with Google Cloud reinforces our commitment to scaling AI adoption responsibly by co-creating tailored solutions powered by Agentic AI. These solutions will empower businesses to navigate operational complexities, enhance efficiency, and unlock new growth opportunities while adhering to evolving regulatory standards.”

    Through the enhanced partnership, both organisations will help enterprises realise the full potential of AI for business transformation and growth. The partnership will accelerate the time-to-market for new AI-driven solutions, providing customers with early access to emerging technologies. Additionally, Tech Mahindra has made substantial investments in talent upskilling and advanced delivery capabilities to enhance its partnership with Google Cloud. 

    Kevin Ichhpurani, President, Global Partner Ecosystem & Channels, Google Cloud, said, “Maximising value from AI investments requires two things: advanced agent-building technology and deep industry expertise. Our partnership with Tech Mahindra will provide customers with the managed services needed to successfully build and deploy AI agents with Google Cloud’s leading AI development platform.”

    The expanded partnership with Google Cloud further strengthens Tech Mahindra’s position as a leading provider of innovative AI and cloud solutions, ensuring efficient solution deployment while maximising the resources available. To support this, Tech Mahindra has established dedicated delivery centres in Guadalajara and Mexico. These centres focus on providing Google Cloud-centric solutions and assisting customers in modernising their infrastructure. Tech Mahindra is a premier systems integrator Google Cloud Partner with 2000+ certified resources and 10,000+ trained engineers deployed across 75+ programs globally.

  • Revolutionizing Agriculture with Cloud Technologies

    integration of cloud technologies

    In an era where digital transformation is redefining industries, agriculture is experiencing a paradigm shift thanks to the integration of cloud technologies. Arjunkumar Vijayakumar, an expert in the field, explores how these innovations are transforming agricultural procurement and logistics, addressing critical inefficiencies, and paving the way for sustainable farming practices.

    Digital Revolution in Agriculture
    Traditional agricultural supply chains are fragmented, leading to significant losses for farmers. Cloud technologies, combined with IoT sensors and AI, unify data from multiple sources, enabling smarter decision-making. This automation of tasks like quality monitoring and market analysis improves efficiency, reduces costs, and enhances crop yield predictions.

    Marketplaces and Route Optimization: Efficiency at Its Best
    Cloud technology has enabled the creation of digital marketplaces, cutting out intermediaries and allowing farmers to directly engage with markets, boosting profits. Digital marketplaces reduce intermediary costs by 67.3% and increase farmer profits by 31.2%. Additionally, route optimization systems powered by edge computing and machine learning have reduced transportation costs by 38.9% and delivery time variations by 42.7%, creating a more efficient supply chain and ensuring faster, higher-quality crop deliveries.

    Smart Platforms for Smart Farming
    Advanced cloud-based agricultural platforms are revolutionizing farm management by improving data processing speed and resource efficiency. In one study, these systems reduced processing time by 86.3% and enhanced resource efficiency by over 70%. The integration of blockchain ensures data integrity, while quantum-resistant encryption secures sensitive data, promoting a transparent and trustworthy food supply chain.

    Enhancing African Dairy Supply Chains
    In Africa, where agriculture is vital to the economy, cloud technology is transforming dairy supply chains. A study of dairy cooperatives revealed that cloud-based systems reduced post-harvest losses by 47.2% and boosted farmer incomes by 32.8%. IoT-based quality monitoring and automated payment processing have improved product quality and reduced transaction times, with milk payment settlements decreasing from 24 hours to just 5.8 hours. These innovations not only enhance farmers’ financial outcomes but also promote sustainability through better data on environmental conditions and milk quality.

    Tackling Logistics with Cutting-Edge Route Optimization
    One of the key breakthroughs in agricultural logistics is the implementation of route optimization systems. These systems use machine learning to predict the most efficient delivery routes, reducing transportation costs and improving fuel efficiency. The modified Clarke-Wright algorithm, designed to handle the time-sensitive nature of agricultural goods, has significantly improved delivery schedules. For example, in India, systems have achieved a 35.8% reduction in transportation costs and a 43.2% improvement in delivery time optimization. The success of these systems demonstrates how digital tools can enhance not only the efficiency but also the profitability of farming operations.

    The Future of Agriculture: Scaling for Sustainability
    Looking ahead, agriculture’s future depends on its ability to scale with emerging technologies. The integration of predictive analytics, AI, and distributed processing will enable farms to make more precise real-time decisions, reducing resource usage such as water and fertilizers while improving sustainability and crop yields. Additionally, advancements in encryption and blockchain technology will enhance the security of agricultural systems, ensuring traceability and security throughout the food production process. These technologies will play a key role in addressing global food security challenges.

    In conclusion, the transformation of agricultural procurement and logistics through cloud technologies is a fundamental shift that is reshaping the future of farming. By reducing inefficiencies, enhancing market access, and improving sustainability, the integration of cloud computing, IoT, and AI is creating a new era of smart farming. Arjunkumar Vijayakumar‘s research offers a comprehensive view of these developments, highlighting the vast potential of these technologies to drive global agricultural advancements and ensure food security for generations to come.

  • How to daisy chain multiple monitors for premium productivity

    As work demands increase, so does the need to effectively monitor multiple streams of information, imagery, and instruction — often, all at the same time. This takes more than the average computer monitor can manage and requires an upgrade. The most obvious solution is getting a larger, widescreen desktop monitor, perhaps with curved edges for the full visual embrace. But that only extends so far, and some jobs need multiple displays linked together, or “daisy chained,” to optimize productivity.

    Multi-monitor arrays deliver more visual real estate, helping to ensure equal attention on all information and data streams so that nothing slips past the eye of weary workers. Daisy-chained monitors also empower users to fine-tune their digital stations to fit their needs and work styles. This increased comfort and ergonomics translates into better attention, performance and productivity. Here’s how.

    One monitor or many?

    For many years, desktop monitors were generic and available in just a few sizes. These days, they come in various shapes and sizes, including super-wide and immersive curved models, such as Samsung’s 49-inch ViewFinity S9 (S95UC). For small businesses and organizations, one of these may be more than enough, but those with a bigger footprint usually need a larger canvas, higher resolution and broader functionality.

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    Financial professionals, for example, may need as many as four displays tiled together to follow real-time data and reporting on market fluctuations. Software developers may use one screen in the conventional landscape mode for web and collaboration applications plus a second screen in portrait mode to get a more expansive, dedicated look at stacked lines of code. Virtual nurses and telehealth deliverers need to daisy chain multiple screens to monitor large numbers of patients simultaneously.

    In the ViewFinity Series — the latest generation of high-resolution displays by Samsung — the 32-inch ViewFinity TU874 UHD Monitor comes ready for daisy chaining. Its two Thunderbolt 3 ports support ultra high-definition resolution on dual monitors that display content in up to 1 billion colors — 64 times more than in conventional monitors. ViewFinity monitors also have multiple ergonomic features — like adaptive picture and flicker-free technology — to reduce eye strain for power users. Another model, Samsung’s 32-inch ViewFinity S6 (S60D), also daisy chains screens together through multi-stream transport (MST), while HDMI, DP, USB-A and USB-B ports add further device connections.

    How to daisy chain monitors

    The first link in the daisy chain is from the controlling computer, tablet or device to a daisy chain-ready monitor. This monitor then relays or extends the PC signal to an adjacent monitor — or up to three, as with Samsung ViewFinity TU874 UHD Monitor. The “daisy chain-ready” qualifier is important, as not all monitors support it, especially older ones. An HDMI port alone is not enough. Daisy chaining requires a DisplayPort Out, version 1.2 or later.

    The setup is straightforward. Connect the PC’s main DisplayPort connector to the DisplayPort In connector on the primary monitor. Then, connect a compatible DisplayPort cable from the primary monitor’s DisplayPort Out to the secondary monitor’s DisplayPort In. Repeat for the third or even fourth monitor. The MST in the monitors allows the source device to broadcast across multiple monitors and create a larger visual work canvas.

    Samsung monitors also support USB-C technology — a connection type that transmits a digital display signal and data from a source device while simultaneously charging it. This also makes it possible to connect peripheral devices without needing docking stations, port hubs or audiovisual (AV) cables. That cuts the capital cost of equipment, lowers maintenance and increases reliability.

    The case for multiple monitors

    In corporate office spaces and home workspaces, most contemporary, knowledge-based jobs require staffers to run numerous software apps simultaneously. On one screen, this requires constant opening and closing of tabs and makes it more likely something might slip by in real time. A multiscreen system, on the other hand, keeps all information streams open with equal attention.

    The shift toward remote and hybrid work has boosted the case for multi-monitors even more, as employees look to make their home workstations as productive as the office, if not more. With multiple daisy-chained monitors, people working from home can customize how the screens best fit to meet their needs. A multiscreen array may cost more upfront but brings a quick return on investment in increased productivity.

    Get your free guide to learn how to transform desktop monitors into production hubs. Also, explore if dual monitors are right for you and your home office setup.

  • Gartner predicts over 20% of workplace apps will use AI-driven personalisation algorithms for adaptive worker experiences by 2028 – CRN

    Gartner predicts over 20% of workplace apps will use AI-driven personalisation algorithms for adaptive worker experiences by 2028 – CRN

    By 2028, more than 20% of digital workplace applications will use AI-driven personalisation algorithms to generate adaptive experiences for the worker, according to Gartner, Inc.

    Digital workers satisfied with work applications are nearly three times more likely to report being much more productive compared with those who are not satisfied. Yet, a Gartner survey of 5,141 employees conducted from April through July of 2024 found that only 23% of digital workers are completely satisfied with their work applications in 2024, down from 30% in 2022.

    “The apps used for work should feel as intuitive and empowering as the most popular consumer apps,” said Tori Paulman, VP Analyst at Gartner. “That’s exactly what employees are craving—a seamless, personalised, and omnichannel digital experience that mirrors the ease and consistency of mainstream consumer applications.

    “Yet, over the past ten years, the gap between consumer and enterprise app experiences has widened. Many work applications remain isolated, inconsistent, and rigid, leaving much to be desired in terms of user experience,” said Paulman.

    To enhance workplace applications and bridge the gap with consumer-like experiences, technology leaders should take five direct actions:

    • Implement best practices: Focus on AI-driven personalisation within workplace applications. These tools should analyse workstyles to provide personalised insights, prioritise tasks, and automate workflows, all tailored to enhance each employee’s productivity.
    • Ensure transparency: Clearly communicate how digital workplace algorithms function and adhere to ethical guidelines. Detail the decision-making processes and implement strong data privacy and security measures to protect employee information and build trust.
    • Prioritise key outcomes: Identify critical business goals, such as improving customer service first-call resolution. Determine which employee roles will benefit most from AI-driven personalisation and explore how adaptive user experiences can reduce friction and boost productivity.
    • Define clear requirements: During vendor selection, prioritise applications that feature AI-driven adaptive user interfaces, personalised task management, and designs centred around the employee experience to ensure intuitive and effective tools.
    • Monitor and adapt: Regularly assess the effectiveness of AI-driven personalisation. Collect employee feedback and make continuous improvements to ensure these tools align with evolving employee needs and organisational objectives.

    “In the realm of digital workplace applications, these algorithms can be game-changers for productivity by understanding and observing workers’ behaviour, preferences, and past interactions to provide crafted recommendations,” said Paulman. “The power of these algorithms brings valuable insights to the surface, streamlines information, prioritises tasks for workers, and even automates workflows to save time and make core work easier.”

  • Revolutionizing Enterprise Document Digitization with AI

    Document Digitization with AI

    Artificial intelligence is revolutionizing enterprise-scale document digitization, enhancing efficiency, and transforming workflows. With automation and advanced AI models, businesses can streamline document processing while reducing costs and errors. Anup Kumar, a digital transformation expert, delves into the latest innovations shaping this field, offering insights into AI-driven advancements and their industry-wide impact.

    The Need for Intelligent Document Processing
    In the modern digital landscape, organizations grapple with the challenge of managing vast volumes of physical documents. Traditional digitization methods, while effective, often fall short in handling complex, unstructured data. AI-powered document processing has emerged as a game-changer, offering faster, more accurate, and cost-effective solutions. With AI integration, enterprises are achieving up to a 95% accuracy rate while reducing processing costs by 35-45%.

    A Three-Layered Technical Framework
    Modern AI-driven document digitization operates through a structured three-layer framework. The Document Acquisition Layer ensures high-quality capture, reducing manual intervention and lowering rejection rates from 15% to 3.2%​. The AI-Powered Processing Pipeline automates structured document handling at 85-95%, achieving 98.7% accuracy within 30 seconds. Unstructured processing has improved, cutting errors by 75% over rule-based methods, enhancing accuracy, efficiency, and enterprise-scale document management​.

    AI Components Enhancing Document Processing
    AI is revolutionizing document classification, extraction, and validation. CNNs enhance classification, processing 1.5 million documents daily with 97.2% accuracy​. Transformer models handle multi-page documents at 3,000 pages per minute with 95.8% accuracy. OCR now achieves 99.7% accuracy for printed text and 94.5% for handwritten content. AI-powered extraction has cut processing time by 78%, while advanced table recognition algorithms achieve 96.5% accuracy, significantly improving document processing efficiency​.

    Overcoming Implementation Challenges
    Scaling AI-driven document processing presents challenges, particularly with unstructured data, which accounts for nearly 80% of enterprise document volume. Organizations processing up to 500,000 documents daily require robust distributed processing systems. The right architecture can reduce bottlenecks by 92%, ensuring responsiveness even under high processing loads.
    Quality assurance is another critical factor. Enterprises integrating machine learning-based anomaly detection have reduced post-deployment issues by 76%. Automated testing now covers 94% of document processing scenarios, minimizing human intervention to just 5-7% of processed documents.

    The Business Impact of AI Document Processing
    AI-powered document digitization delivers measurable financial and operational benefits. Enterprises implementing AI-based Intelligent Document Processing (IDP) solutions report a 250-300% return on investment within the first 18 months. Large-scale enterprises processing over two million documents annually have cut costs from $4.80 to $1.15 per document, translating to savings exceeding $7.3 million.

    Beyond cost savings, AI adoption has enhanced efficiency. Companies report a 78% reduction in manual effort, with a single IDP system handling workloads equivalent to 15-20 full-time employees. Additionally, error reduction in document processing has led to indirect cost savings of up to $1.8 million annually.

    Future Innovations in Document Digitization
    The future of AI-driven document processing is evolving rapidly. Emerging technologies such as zero-shot learning are revolutionizing document classification, enabling AI models to process new document types with 87% accuracy without extensive training. This advancement significantly reduces training costs and time-to-production.

    Furthermore, federated learning techniques are strengthening privacy and security. AI models now ensure 82% less sensitive data exposure while maintaining processing accuracy above 95%. As automation and AI continue to advance, enterprises can expect document processing systems to reach human-level accuracy for 90% of document types by 2025.

    In conclusion, AI is transforming document digitization by enhancing efficiency, reducing costs, and improving accuracy. As these technologies advance, businesses must balance automation with human oversight for optimal results. Anup Kumar‘s insights reveal AI’s potential to reshape enterprise workflows, making document processing more intelligent, seamless, and future-ready.

  • Prioritize your eyes: Good monitors for work that put your health first

    Most people spend a lot of time looking at screens. In fact, the average American spends slightly more than seven hours a day using screens — including computer monitors, mobile devices and televisions — according to DataReportal. That number may be even higher for people whose jobs necessitate looking at a computer monitor most of the day, often leading to issues like computer vision syndrome, with sometimes debilitating symptoms.

    An ergonomic desk chair, exercises and regular breaks can alleviate some physical strain, but the right monitor may be able to do even more. That’s why finding good monitors for work that support health — especially eyes — is critical. Here’s what you need to know.

    Monitoring your well-being first

    Monitor technology that is not designed with your well-being in mind can cause eye strain, migraines and even muscular problems in your back and neck. Naturally, these effects lead to reduced productivity, absenteeism and job dissatisfaction. But more strikingly, computer blue light is linked to blurred vision, dry eyes, macular degeneration and cataracts. It can even cause significant sleep issues.

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    It’s possible to mitigate these effects by switching to a monitor with built-in eye protection. Samsung has made eye care a priority in developing a number of unique display technologies, including a blue light filter for its monitors and Flicker Free technology,

    Getting rid of the blues

    Of all the colors in the visible spectrum, blue light is the most harmful — with effects ranging from blurred vision to permanent vision changes. Blue travels as a high-energy, short-length light wave, and almost all of it travels to your retinas, creating computer vision syndrome. It’s also becoming increasingly common, with one report in the Journal of Optometry showing that 7 out of 10 people studied suffer from the condition.

    That’s why the latest generation of Samsung monitors, including Samsung’s 49-inch S95UC, feature Eye Saver Mode, which actively reduces blue-light emissions. This helps minimize eye strain and prevent long-term problems like phototoxicity, a condition of particularly high light sensitivity in the eyes or skin.

    Adapt so you can thrive

    Good monitors for work address more than just blue light. Another culprit of eye strain and headaches is screen flicker — common on many desktop monitors but nearly imperceptible to the naked eye. This flicker results from the screen’s backlight rapidly turning on and off. You may not notice it happening, but you will notice its effects. A high monitor refresh rate — the amount of times the screen updates per second — can help reduce eye strain, but above 75Hz, the difference on the eyes is minimal. Samsung Flicker Free technology helps remedy this by producing a constant stream of light.

    Most new monitors by Samsung also feature Adaptive Picture technology. Through ambient light sensors, Adaptive Picture continuously assesses the lighting in your workspace and automatically adjusts your screen brightness for more comfortable viewing.

    Together, these Intelligent Eye Care features have earned Samsung high-resolution monitors an Intelligent Eye Care certification from the gold-standard TÜV Rheinland.

    Physically fit workspaces

    Besides the screen, your desktop’s physical aspects also contribute to its overall comfort. Samsung monitors’ ergonomic design offers height adjustment as well as tilt and swivel flexibility, so sitting in front of the computer is much less taxing on your eyes, neck and spine.

    In the right environment, a curved — or even double-wide curved screen, as on Samsung’s S95UC — can offer further eye health benefits. That’s because the screen imitates the curvature of the human eye and mimics its natural field of vision, so your eyes don’t have to work as hard to focus.

    Of course, not everyone’s workstation can accommodate a curved monitor, and not every job requires one. For smaller workstations, the Samsung 24-inch T45F monitor has the same protective eye health features. Its borderless design also makes the screen more immersive to help keep distractions to a minimum.

    With the extensive range of high-resolution monitors at Samsung, you can get the job done more comfortably with technology that puts your health — and eyes — first.

    Get your free guide to learn how to transform desktop monitors into production hubs. Also discover how Samsung ViewFinity anti-glare monitors improve programmer performance.

  • Salesforce and Ather Energy limited join hands to redefine customer and dealer experience – CRN

    Salesforce and Ather Energy limited join hands to redefine customer and dealer experience – CRN

    Salesforce announced its partnership with Ather Energy Limited, one of India’s electric two-wheeler (E2W) manufacturers, to strengthen and expand dealership operations and elevate customer experiences. This strategic collaboration with Salesforce will bring together sales, support service, and dealer operations, improve operational efficiency, and provide an enhanced customer experience through a unified, AI-powered platform. With growth on the horizon, Ather Energy is looking to drive seamless and agile business operations, providing a competitive advantage for its growing ecosystem of dealers in India. Ather Energy currently has 350 dealers across the country and will be looking to expand its footprint in the coming months. The first-of-its-kind Dealer Management Solution (DMS) built in collaboration with Salesforce, will be made available on the mobile app empowering dealers to make decisions on the go directly driving both customer satisfaction and business growth.
    To support this exponential growth, Ather Energy has built ‘Ather Dealer Central’, a next-generation Dealer Management System (DMS) on the Salesforce Platform. This system integrates LMS (Lead Management System), CRM (Customer Relationship Management), and DMS into a single, scalable platform.

    Ravneet S. Phokela Chief Business Officer Ather Energy, said “At Ather, our approach to the dealer management system was to develop a solution that is agile, scalable, and truly customer-centric. Our collaboration with Salesforce and the implementation of ‘Ather Dealer Central’ – our new dealer management system, reimagines how EV dealerships operate and it represents our ambitious technological leap. Ather Dealer Central is a unified, intelligent platform that seamlessly connects every aspect of the dealer ecosystem, which will provide our dealer partners with unprecedented insights, mobility, and efficiency empowering them to deliver exceptional customer service. It is a strategic asset which we believe will shape the future of EV retail and customer engagement in India.”

    Commenting on the collaboration, Mankiran Chowhan, Vice President, Financial Services & Consumer Industries, Salesforce India, said “As India’s EV market matures, customer experience will be a key driver of business growth, with consumers seeking differentiated, seamless interactions while making eco-conscious choices. Our partnership with Ather Energy showcases how technology can redefine mobility, empowering businesses to deliver smarter, more connected experiences. By leveraging Salesforce’s solutions, Ather is setting a new benchmark for dealership management and customer engagement—creating a scalable ecosystem that drives sustainable growth and innovation in the industry.”

    She further added, “As businesses scale, AI-driven innovations are becoming essential to enhancing customer interactions. With Salesforce’s Agentforce—an AI-powered digital labor solution—companies can deploy autonomous AI agents across functions, boosting efficiency, optimising operations, and redefining customer engagement.”

    Salesforce Agentforce, a new layer on the Salesforce Platform, enables companies to build and deploy AI agents that can autonomously take action across any business function. Agentforce represents the next evolution of Salesforce‌ — ‌a platform where AI agents work alongside humans — a digital workforce that amplifies and augments human capabilities and delivers results with unrivaled speed.

  • Revolutionizing Healthcare with Edge-Enhanced Federated Architecture

    security framework

    In an era of digital transformation, healthcare is leveraging technological innovations to enhance patient monitoring while ensuring data privacy. Bharath Kumar Reddy Janumpally presents a pioneering approach integrating edge computing with federated learning, reinforced by a zero-trust security framework. This novel architecture revolutionizes real-time patient monitoring by optimizing efficiency, strengthening security, and ensuring regulatory compliance, setting a new benchmark for modern healthcare solutions.

    The Need for Smarter Healthcare Solutions
    The rise of connected medical devices has enabled continuous health monitoring, yet existing cloud-based architectures struggle with latency and data security challenges. Traditional systems centralize data processing, making them vulnerable to privacy breaches and operational inefficiencies. The proposed Edge-Enhanced Federated Cloud Architecture (EEFCA) addresses these issues by shifting computation closer to the data source while ensuring patient information remains secure.

    Edge Computing: Bringing Processing Closer to the Patient
    Edge computing is at the heart of this innovation, enabling real-time data processing near the point of collection. Medical IoT devices, such as wearable monitors, transmit data to local edge nodes where initial processing occurs. This reduces latency and enhances responsiveness, crucial for critical care scenarios. By analyzing data locally, unnecessary transmissions to central servers are minimized, improving efficiency and security.

    Federated Learning: Advancing AI Without Compromising Privacy
    The federated learning framework revolutionizes healthcare AI by allowing collaborative model training across multiple facilities without sharing raw patient data. Each healthcare node trains AI models locally, contributing anonymized updates to a global model. This distributed learning approach ensures improved diagnostic accuracy while maintaining patient confidentiality. The use of differential privacy techniques further strengthens data protection, making it resilient against unauthorized access.

    Zero-Trust Security: A New Standard for Healthcare Data Protection
    With cyber threats on the rise, conventional perimeter-based security models are insufficient for safeguarding sensitive health information. The zero-trust framework incorporated into this architecture mandates continuous verification for all access requests. Multi-factor authentication, role-based controls, and behavioral analytics collectively reinforce security, ensuring that only authorized personnel can access critical data. Additionally, automated threat detection mechanisms proactively mitigate risks in real time.

    Real-World Application: Remote Patient Monitoring
    A key application of this architecture is in remote patient monitoring systems. By leveraging IoT-enabled medical devices, real-time health assessments become feasible, even for patients in remote locations. Secure data transmission, edge-based analytics, and federated learning combine to deliver insights without violating privacy regulations. This approach not only enhances patient care but also ensures compliance with stringent data protection laws.

    Performance and Privacy: Striking the Right Balance
    Experimental evaluations demonstrate a 65% latency reduction over traditional cloud-based solutions. Federated learning and differential privacy measures protect patient data during AI training, ensuring no individual data exposure. Zero-trust security implementation effectively blocks unauthorized access attempts while maintaining seamless usability for healthcare professionals. This approach enhances security and privacy while delivering efficient real-time monitoring solutions, setting a new benchmark for the future of healthcare technology.

    Overcoming Challenges and Future Prospects
    Despite its advantages, the architecture faces challenges related to edge device processing limitations and integration with legacy healthcare systems. Future improvements could include optimizing federated learning algorithms for resource-constrained devices and enhancing interoperability between modern and existing medical infrastructures. Additionally, emerging technologies such as quantum-resistant cryptography and explainable AI could further refine security and transparency.

    In conclusion, Bharath Kumar Reddy Janumpally‘s work establishes a foundation for scalable, privacy-centric healthcare solutions, setting a new standard in patient data security and real-time monitoring. This innovative framework presents a promising path for the future of healthcare monitoring, ensuring real-time responsiveness, privacy preservation, and robust security. As digital health solutions continue to evolve, integrating advanced technologies like edge computing, federated learning, and zero-trust security will be pivotal in shaping a more secure and efficient healthcare ecosystem.

  • Legacy or limitation? Transforming technology for banking in the future

    Despite its high costs and risks, legacy technology is still widespread in the financial services sector. In fact, a survey of bank executives by Dragonfly Financial Technologies found that more than 53% were concerned about their dependency on legacy technology and rising technology debt.

    Now that mobile banking has become commonplace, the persistence of legacy infrastructure not only poses major risks to device security but also prevents banks from enhancing customer interactions and improving employee workflows.

    Here are some current obstacles to legacy technology and banking modernization and how financial services companies can overcome them.

    Banks are struggling with legacy technology

    Traditional systems are expensive, labor-intensive and challenging to keep secure amidst the current IT talent shortage. According to the Capgemini World Retail Banking Report 2024, legacy systems create complexities with integrating new AI technologies, which are often incompatible with outdated processes. Banks that have not addressed their technical debt may miss out on valuable opportunities to use AI to streamline employee workflows and improve the customer experience.

    As the Capgemini report points out, AI can streamline back-office operations by automating data entry, document processing and compliance checks. As a result, bank employees can devote their time and expertise to higher-value tasks that involve critical thinking and strategic decision-making.

    Legacy systems can also hold banks back from delivering a modern customer experience. According to an IDC survey sponsored by Samsung, Bridging the Digital–Human Gap in Banking, 83% of customers expect seamless information across mobile, online and in-person interactions.1 Banks that still struggle with legacy systems may have difficulty enabling the kind of omnichannel integration required to effectively engage customers on all the channels they use today.

    Strategies for modernizing legacy technology

    Banks are grappling with their technical debt in a variety of ways. As consulting firm Endava explains in its 2024 Retail Banking Report, financial firms can pursue progressive modernization, total replacement or incremental change. Incremental change is the most popular approach. The majority of banks surveyed (47%) in the report followed that path. In this scenario, a bank makes small feature and functionality changes to an existing legacy system over time to gradually modernize it. For example, a bank might use this approach to update a customer-facing mobile app with a more modern interface, introducing small improvements like self-service capabilities without disrupting core systems.

    The next most popular approach is progressive modernization (40%),which involves combining digital wrappers, open architecture and/or APIs to update legacy infrastructure, so it is cloud compatible. A bank could use this approach to quickly provide employees with advanced tools and dashboards that connect to legacy systems behind the scenes. This method has pros and cons, of course. Although it enables a modern user interface, the internal core is not updated, so the bank has deferred the task of fully modernizing it until a future date.

    Some banks (13%) choose to replace a legacy core completely. Total replacement is the most complex, resource-intensive and potentially disruptive choice because it has a stronger impact on the bank’s overall systems and requires sophisticated change management. Financial firms that pursue this strategy tend to realize the benefits of modernization much faster than those that do not. Upon completing their replacement, they can immediately enable improvements that would be far harder to achieve in a legacy environment, such as real-time customer analytics and personalization.

    Many banks recognize the potential in digital transformation when it comes to improving the customer experience and employee workflows; however, legacy technology is still blocking the path too often. There are multiple approaches to addressing this technical debt. The banks that take on the challenge of modernizing their legacy infrastructure now will be in the best position to manage risk and enable future growth.

    Learn how Samsung’s financial services solutions can modernize legacy technology and enable growth.

    Sign up for our newsletter, INSIGHTS: Banking, a monthly update from Samsung on banking trends and technology’s role in the financial services industry.

    1IDC Infographic, sponsored by Samsung, Bridging the Digital–Human Gap in Banking, #US52023624, May 2024.

  • Bill Gates explores AI-driven ‘Viksit Bharat’ strategy room at NITI Aayog

    Bill Gates explores AI-driven 'Viksit Bharat' strategy room at NITI Aayog

    Bill Gates explores AI-driven ‘Viksit Bharat’ strategy room at NITI AayogIANS

    Bill Gates, co-chair of the Bill and Melinda Gates Foundation, on Monday visited NITI Aayog’s Viksit Bharat Strategy Room (VBSR), where he experienced an advanced AI-enabled immersive centre designed to enhance evidence-based decision making for policymakers across the country.

    The centre, which integrates cutting-edge technology, allows officials at central, state, district, and block levels to analyse data in real time and make informed policy decisions.

    The ‘Viksit Bharat Strategy Room’ was launched on March 7, 2024, as a revolutionary step in data-driven governance.

    Equipped with 27 interactive screens and operated through centrally located touchscreens, the room provides a dynamic platform to explore data across states, sectors, and government programs.

    Its AI-driven software, developed using machine learning and natural language processing, helps policymakers interpret complex data efficiently.

    The importance of this initiative was highlighted when Prime Minister Narendra Modi visited the centre on July 11, 2024, reinforcing its role in advancing India’s vision of Viksit Bharat.

    Inspired by the success of VBSR, several similar AI-powered experience centres have been developed across India.

    These include ‘Tagbin BoardRoomAI’, a solution designed to revolutionise boardroom decision-making with real-time insights and predictive analytics.

    Bill Gates

    Bill Gates explores AI-driven ‘Viksit Bharat’ strategy room at NITI AayogIANS

    “The VBSR is more than just a data centre; it represents a paradigm shift in governance. By combining cutting-edge AI with policymaking, we are empowering leaders to make more informed, impactful decisions for India’s growth,” said Saurav Bhaik, a key visionary behind the initiative and CEO of Tagbin.

    In Bihar, the Bihar Institute of Public Administration & Rural Development (BIPARD) has set up the GenNext Lab, which focuses on real-time data collection and advanced interpretation for better governance.

    Additionally, the Lal Bahadur Shastri National Academy of Administration (LBSNAA) is creating an AI strategy room to equip future leaders with real-time data analytics and interactive decision-making tools.

    Meanwhile, ahead of its visit to the nation, Gates praised India’s achievements in public health, especially the successful eradication of polio, reminiscing about his 2011 visit when the country recorded its last polio case.

    “Over the past two decades, the foundation has worked alongside the Indian government, researchers, and entrepreneurs to drive progress in healthcare, agriculture, and digital transformation,” he said in a LinkedIn post.

    The billionaire philanthropist also reflected on the Bill & Melinda Gates Foundation’s longstanding partnership with India.

    (With inputs from IANS)