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  • AI Innovations Herald New Era in Enterprise Platform Migration

    Vishnu Iyengar

    In a significant advancement for enterprise technology transformation, Vishnu Iyengar, a software technologist and graduate of the Indian Institute of Technology, Madras, with decades of experience at leading global technology companies, has unveiled comprehensive frameworks for managing large-scale internal platform migrations using AI-assisted tools. The paper provides critical insights into how organizations can successfully evolve their critical infrastructure while maintaining business continuity.

    The Art of Seamless Transition
    Modern enterprises face unprecedented challenges when upgrading their internal platforms, as these systems often support thousands of engineers and millions of lines of code. Unlike external platform migrations, internal transitions must maintain perfect business continuity while preserving organization-specific workflows that have evolved over years. The research reveals that successful migrations require a carefully orchestrated approach that balances standardization with organizational specificity.

    AI Enters the Migration Toolkit
    The integration of AI into migration tools marks a transformative advancement in enterprise systems. Modern AI capabilities now power enhanced pattern recognition, automated transformation rules, and custom migration pathways. This breakthrough particularly shines in managing complex edge cases, while maintaining essential validation protocols for reliability.
    Smart Automation Takes Center Stage

    The research highlights how sophisticated automation tools are becoming essential for managing large-scale transitions. Modern migration systems can orchestrate thousands of engineering changes while ensuring consistency and reliability. These tools provide capabilities for incremental rollout, verification, and rapid incident response that go far beyond traditional migration approaches.

    Data: The Migration Challenge
    A critical aspect of internal platform migration involves managing business-critical data in company-specific formats. New approaches combine AI-powered schema mapping with sophisticated validation systems to ensure zero data loss while maintaining continuous accessibility. This infrastructure supports both bulk and incremental migration patterns while preserving strict consistency guarantees.

    The Three-Phase Revolution
    The research outlines a three-phase approach to platform migration. The initial pilot phase focuses on proving value with specific, well-defined problems. The second phase expands platform capabilities based on lessons learned, while the final phase enables organization-wide adoption. This structured approach helps organizations maintain stability while systematically transitioning thousands of users.

    Monitoring in the Modern Era
    Advanced monitoring systems now provide comprehensive visibility across multiple dimensions: technical progress, operational metrics, and organizational status. AI-powered analytics can identify patterns in migration blockers, suggest optimizations, and predict potential issues before they impact progress. This proactive approach helps organizations maintain momentum throughout the migration process.

    Future-Proofing Enterprise Systems
    The research demonstrates that successful platform migrations require more than technical solutions – they demand a carefully orchestrated strategy that aligns teams, resources, and priorities across the organization. The integration of AI capabilities represents an important evolution in this field, though one that must be approached with careful consideration for reliability and business continuity.

    Building Tomorrow’s Infrastructure
    Looking ahead, the research identifies promising directions for future development, including more reliable code transformation models, better approaches to semantic validation, and AI-assisted migration planning. The development of formal models for evaluating migration readiness and predicting migration complexity could significantly improve planning and execution of future migrations.

    The Path Forward
    As organizations continue to grow and their internal platforms become more sophisticated, the ability to execute these migrations successfully becomes increasingly crucial for maintaining engineering velocity and organizational effectiveness. The research provides technical leaders with actionable frameworks for evolving critical internal infrastructure at scale.

    In conclusion – Vishnu Iyengar’s work demonstrates that the emergence of AI-assisted migration tools marks a watershed moment in enterprise technology evolution. His paper highlights how the fusion of artificial intelligence with traditional migration approaches is revolutionizing how organizations handle complex platform transitions. The strategic integration of AI capabilities, while maintaining strict reliability standards, not only streamlines the migration process but also establishes a new paradigm for evolving mission-critical enterprise systems, promising a more efficient and reliable future for large-scale digital transformations.

  • RUCKUS Wi-Fi 6 solution improves campus experience for Amrita University | CRN

    RUCKUS Wi-Fi 6 solution improves campus experience for Amrita University | CRN

    CommScope announces RUCKUS Networks has helped a higher learning institution, Amrita Vishwa Vidyapeetham (Amrita University), upgrade network connectivity for its Amritapuri and Bengaluru campuses with RUCKUS Wi-Fi 6 solutions.

    As Amrita grew and new campuses came online across India, the demand for greater digital access provided the opportunity for the university to improve its network reliability. The improvements not only impact connection for online lecture access and server access during classroom learnings but also support Internet of Things (IoT) devices ranging from IoT sensors that monitor power fluctuations and water levels in research labs to humidity sensors in the university data centers, to facial recognition devices across the campuses.

    “We did several rounds of evaluation in proof-of-concept tests and RUCKUS clearly stood out from the crowd with its high-performance access points (APs) that come with the range, coverage, and capacity to ensure a strong signal with the ability to penetrate through the cement walls into classrooms with zero drop in performance,” said Sachin Vinay, Assistant Manager-Networks, Amrita Vishwa Vidyapeetham. 

    “In addition, RUCKUS Wi-Fi 6 indoor APs R750s feature a 3.5 Gbps max rate and embedded IoT technology, which is important for our campuses’ ability to accommodate the heavy traffic from IoT devices and to provide continual connectivity,” Vinay added. 

    “Access points are a critical component of any high-performing Wi-Fi network but not all APs are created equal. Enterprise-grade access points from RUCKUS can deliver fast and reliable connectivity while resolving legacy network issues and providing network scalability that meets tomorrow’s bandwidth demands,” said Sanjiv Verma, Vice President, RUCKUS Networks, Asia Pacific.

    As part of the upgrade, the virtual RUCKUS SmartZone controller allows Amrita to control the new Wi-Fi 6 APs, and it is retro-compatible with some of the older RUCKUS APs that are still active in less demanding areas on the campuses.

  • OnePlus 13R unveiled ahead of Jan 7 launch; what’s changed from OnePlus 12R [details]

    OnePlus 13R unveiled ahead of Jan 7 launch; key features tipped [details]

    OnePlus 13R unveiled ahead of Jan 7 launch; key features tipped [details]OnePlus

    OnePlus fans may be excited about the launch of the OnePlus 13, but the company has made yet another announcement, confirming the launch of another flagship, OnePlus 13R. This new addition to the OnePlus 13 series is set to make its global debut on January 7, 2025. OnePlus 13R is said to be a compact powerhouse, with a stunning design, top-tier performance, versatile cameras, a lightweight operating system, and a substantial 6,000mAh battery.

    OnePlus 13R will be available in two colorways, Nebula Noir and Astral Trail, inspired by “Mother Nature.” The design of the OnePlus 13R is a harmonious blend of form and function, featuring a slim design with an elegant camera layout that adheres to the golden ratio. The device is also equipped with Gorilla Glass 7i on both the front and back. This is complemented by an aluminum frame, creating a refined and elegant look.

    OnePlus 13R, along with OnePlus 13, are equipped with versatile triple camera systems on the rear, designed to capture stunning, sharp, and detailed photos of fleeting moments. This feature ensures that users can capture high-quality images of dynamic scenes, such as a child at play or a pet in motion, without any blur.

    OnePlus 13R vs OnePlus 12R

    OnePlus 13R is the successor to last year’s OnePlus 12R, and it has been the subject of much discussion in recent weeks as it has started to appear on global certification listings, including the Geekbench database. OnePlus 13R is expected to feature major refinements in design, such as a flat screen and a leather back panel. OnePlus 12R, on the other hand, featured a glass build and a circular camera module, giving it a premium look.

    In terms of performance, the OnePlus 13R is expected to be powered by the Snapdragon 8 Gen 3 processor. The OnePlus 12R was equipped with the Snapdragon 8 Gen 2 processor. The OnePlus 13R is also expected to have a larger battery capacity, with a 6000mAh battery, compared to the 5500mAh battery of the OnePlus 12R.

    In addition to the OnePlus 13R, OnePlus will also be launching a new colorway for the OnePlus Buds Pro 3, Sapphire Blue. These earbuds feature smooth touch controls, a sleek design, and a leather-textured finish.

    OnePlus Buds Pro 3 will also introduce an AI Translation feature in partnership with the OnePlus 13 series, providing considerable convenience for everyday communication and work-related activities.

  • Next-Generation EDA Tools Reshape the Future of Chip Design

    Srivatsan Nurani Subramanyam

    The new era of semiconductor innovation, artificial intelligence and computational algorithms have revolutionized integrated circuit design. Through groundbreaking research, electronic design automation expert Srivatsan Nurani Subramanyam examines how these emerging technologies are transforming traditional manufacturing approaches, promising to accelerate chip development and enhance production efficiency.

    The Rise of Smart Design
    The semiconductor industry is undergoing a profound transformation, with projections indicating a remarkable $1 trillion market value by 2030. This evolution is particularly evident in the exponential growth of processor complexity, advancing from the modest 2,300 transistors in the 1971 inaugural microprocessor to today’s cutting-edge chips containing over 50 billion transistors. This astronomical increase in complexity has driven the development of sophisticated electronic design automation (EDA) tools, becoming indispensable for navigating the intricate challenges of modern chip design and maintaining technological momentum in this rapidly evolving field.

    AI Takes Center Stage
    Machine learning’s integration into electronic design automation tools is delivering unprecedented efficiency gains in semiconductor design. ML-enhanced placement algorithms have achieved notable improvements, reducing wire length by up to 10% while AI-powered design space exploration demonstrates remarkable capabilities, evaluating 1,000 times more architectural options compared to traditional methods in equivalent timeframes. This revolution is particularly evident in timing and power analysis, where advanced predictive models showcase superior accuracy, improving traditional metrics by 15-25%. These achievements mark a significant leap forward in chip design optimization, promising faster development cycles and more efficient semiconductor solutions.

    Breaking the Third Dimension
    Three-dimensional integrated circuit design represents a transformative breakthrough in semiconductor technology, with projections indicating it will command 30% of the high-performance computing market by 2025. The technology’s remarkable advancement is evidenced by current capabilities to stack up to 12 layers of circuitry, with industry forecasts suggesting expansion to 16 layers by 2030. This architectural evolution demands sophisticated electronic design automation tools that can seamlessly integrate complex multi-physics simulations, simultaneously analyzing electrical, thermal, and mechanical interactions. The advancement in 3D IC technology marks a pivotal shift in chip design methodology, promising unprecedented levels of performance and integration density.

    Quantum Leap in Design
    The quantum computing sector is rapidly pushing the boundaries of electronic design automation, with market projections soaring to $8.6 billion by 2027. Current quantum processors have achieved remarkable complexity, housing up to 127 qubits, while industry roadmaps anticipate systems exceeding 1000 qubits by 2025. This quantum evolution necessitates highly specialized EDA tools capable of addressing unprecedented challenges inherent to quantum systems. These tools must seamlessly integrate critical factors like qubit coherence management, entanglement optimization, and sophisticated error correction schemes directly into the physical design process, marking a paradigm shift in semiconductor engineering approaches.

    Power of Automation
    Modern EDA tools have become increasingly sophisticated in handling critical tasks. For instance, in advanced nodes like 5nm and below, interconnect delays can account for up to 80% of the total path delay. Advanced routing tools can now manage designs with over 10 million nets across up to 15 metal layers, employing sophisticated algorithms for simultaneous optimization of timing, power, and manufacturability.

    Design Rule Revolution
    The complexity of design rules has grown exponentially with each new technology node. While the 28nm node had approximately 500 design rules, this number has increased to over 1,500 at 7nm and exceeds 2,000 for 5nm and below. State-of-the-art Design Rule Checking (DRC) tools now employ parallel processing and GPU acceleration, achieving up to 8x speedup compared to CPU-only implementations.

    Cloud Computing Boost
    Cloud-based solutions are revolutionizing the EDA landscape, offering scalable computing resources that can reduce turnaround times for large designs by up to 8x. These platforms enable seamless data transfer between different stages of the design process, reducing data translation errors by up to 40% and improving overall productivity.

    In conclusion, Srivatsan Nurani Subramanyam’s research demonstrates how the convergence of AI, 3D IC design capabilities, and quantum computing is reshaping the semiconductor landscape. These transformative technologies are revolutionizing chip design processes, promising significant reductions in development time while enabling the creation of increasingly sophisticated and efficient integrated circuits. The findings underscore a pivotal shift in semiconductor manufacturing that will drive innovation for years.

  • Emerging Technologies Reshape Quality Assurance in Big Data Analytics

    Kishan Patel

    In a groundbreaking research paper published in the International Journal of Creative Research Thoughts, Kishan Patel, an independent researcher with extensive experience in quality assurance, explores the transformative innovations reshaping how we ensure data quality in the age of analytics. With 12 publications and 53 citations to his credit, the research provides valuable insights into the challenges and solutions emerging in this rapidly evolving field.

    The Four Pillars of Modern Data Quality

    The research highlights how quality assurance has evolved beyond traditional methods to address the “4V” attributes of big data: volume, velocity, variety, and veracity. These characteristics demand innovative approaches to ensure data reliability and accuracy. Modern quality assurance frameworks now incorporate sophisticated elements including accessibility, timeliness, authorization, and credibility metrics to maintain high standards across massive datasets.

    Revolutionary Testing Approaches

    Among the most significant innovations are new testing methodologies specifically designed for big data applications. These include metamorphic testing, which helps verify systems without traditional test oracles, and crowd-sourced testing that leverages community expertise for validation. Learning-based testing has emerged as another powerful tool, using artificial intelligence to automatically generate test cases for complex numerical applications.

    Real-time Processing Challenges

    The research identifies a critical challenge in the industry: the extremely short “timeliness” window of big data. As data evolves at unprecedented speeds, quality assurance systems must adapt to validate information in real-time while maintaining accuracy. This has led to the development of automated validation techniques that can keep pace with the rapid flow of information.

    Integration and Standardization Innovations

    A key innovation has been the development of integrated quality assurance frameworks that can handle diverse data types simultaneously. These systems can process structured, semi-structured, and unstructured data, ensuring consistency across all formats. This represents a significant advance from traditional methods that were limited to handling uniform data types.

    Security and Authorization Advances

    Modern quality assurance systems now incorporate sophisticated security measures and authorization protocols. These innovations ensure that while data remains accessible to authorized users, it maintains its integrity and confidentiality. The research highlights how these security features are being integrated into the quality assurance process from the ground up rather than being added as an afterthought.

    Future Trends and Solutions

    The research points to several emerging trends in quality assurance for big data applications. These include the increasing use of artificial intelligence for automated testing, the development of more sophisticated real-time validation tools, and the evolution of standardized quality metrics for big data applications. The industry is moving toward more unified standards while maintaining the flexibility to handle diverse data types and sources.

    The Path Forward

    As organizations continue to rely more heavily on data-driven decision-making, the importance of robust quality assurance systems becomes increasingly critical. The research suggests that future innovations will likely focus on developing more automated, intelligent systems capable of handling the growing volume and complexity of data while maintaining high quality standards.

    Impact on Industries

    The innovations in quality assurance are having a significant impact across various sectors. From healthcare to finance, organizations are implementing these new approaches to ensure the accuracy and reliability of their data analytics. This has led to more confident decision-making and improved operational efficiency across industries.

    In Conclusion, In the rapidly evolving landscape of data analytics, ensuring quality has become paramount. As organizations continue to process massive data volumes, robust quality assurance frameworks are essential. Through his comprehensive research, Kishan Patel has illuminated the path forward, offering insights into maintaining high data quality standards in our complex digital era. The future of quality assurance in big data analytics looks promising, with innovations continually emerging to address challenges while ensuring data reliability and accuracy.

  • 1 in 5 indian businesses stall AI projects over skills gap, governance challenges, and trust issues | CRN

    1 in 5 indian businesses stall AI projects over skills gap, governance challenges, and trust issues | CRN

    Qlik, unveiled research of 4,200 C-Suite executives and AI decision-makers globally. An independent study conducted in November 2024, examined AI adoption challenges and opportunities, including attitudes toward ‘buy-to-build’ deployment strategies. It covered 19 markets and focused on key sectors such as IT, financial services, manufacturing, retail, and healthcare.

    In India, 57% of executives view AI as essential for achieving strategic goals and boosting profitability. However, many organisations struggle to transition from planning to execution due to challenges such as skills gaps, governance issues, trust deficits, and resource constraints. Alarmingly, 20% of businesses report having 51 to over 100 AI projects stalled at the planning stage, while 12% have scrapped or halted projects entirely. To address these hurdles, Indian companies are increasingly adopting ready-made AI solutions to expedite implementation and achieve measurable ROI.

    Key Barriers Hindering AI Adoption: Skills, Trust, and Governance
    The research highlights critical gaps preventing AI adoption in India. It reports that 31% of Indian businesses lack the talent required to develop AI, 18% face difficulties in rolling out developed solutions and 26% of AI decision-makers cited insufficient access to trusted data as additional obstacle. Furthermore, 28% of respondents cited data governance challenges as a major roadblock, while 25% pointed to budget constraints as a critical hurdle.
    The study reveals that 41% of senior managers and 38% of less senior employees lack confidence in AI, while 16% of businesses report concerns about customer trust in AI-driven systems. Notably, 57% of respondents indicated that these trust issues have led to reduced AI investments.

    ‘Ready-Made’ AI Solutions and Training: A Path Forward
    To overcome these barriers, 78% of Indian AI leaders see value in leveraging ‘ready-made’ AI solutions as a starting point to accelerate deployment and ROI. Building trust is another critical focus, with organisations looking to promote AI benefits internally and externally.

    Upskilling and Government Support for AI Development
    Upskilling is also seen as pivotal to addressing the skills gap, while securing government support is also crucial to overcoming barriers to AI adoption in India. 79% of AI decision makers believe India has the potential to lead the world in AI skills in the next five years. To achieve this, 80% believe their industries need to be better at nurturing and upskilling staff for AI, and 78% advocate for increased government funding and AI training programs.

    Unlocking AI’s Potential with Agentic AI
    “Business leaders know the value of AI, but they face a multitude of barriers that prevent them from moving from proof of concept to deployment of the technology. The first step to creating an AI strategy is to diagnose where the potential blockades are—be it skills, resource or data governance issues. By creating a multifaceted picture of the organisation’s challenges, you start to build trust and win management buy-in to help you succeed,” said James Fisher, Chief Strategy Officer at Qlik.

    “India has the talent and ambition to play a key role in the global AI landscape. To make this happen, we need to focus on developing AI skills, building trust in AI, and helping businesses address challenges around governance and resources. AI is already making an impact across industries, but to fully realise its potential, organisations must tackle issues of trust, data governance, and skills shortages. Our findings emphasise the importance of collaboration between businesses, governments, and educational institutions to strengthen AI capabilities and build trust in these technologies,” said Varun Babbar, Managing Director, India at Qlik.

    The survey included insights from 250 senior managers and board-level executives in India who are directly involved in overseeing AI projects at large enterprises with 500 to 4,999 employees. These participants represented diverse industries, including IT and telecommunications (16%), financial services (12%), manufacturing (11%), retail (7%), construction and engineering (7%), as well as healthcare and pharmaceuticals (6%), providing a comprehensive view of AI adoption across key sectors.

  • Samsung to Unveil AI-Driven Home Appliances at CES 2025

    home appliances

    Samsung to unveil new AI-powered home appliances at CES 2025IANS

    Samsung Electronics, a global leader in technology, is set to make an announcement at the upcoming Consumer Electronics Show (CES) 2025. The event, one of the world’s largest tech trade shows, will take place at the Las Vegas Convention Center from January 7-10, 2025. The company plans to unveil its new lineup of homeappliances, all powered by artificial intelligence (AI). These appliances are designed to streamline household tasks and enhance connectivity, making everyday life easier and more convenient for consumers.

    The new lineup includes AI-driven refrigerators, washing machines, and dryers. Central to these devices is Samsung’s “AI Home” solution, which allows users to remotely monitor and control all compatible appliances through Samsung’s SmartThings platform via touch screens embedded in the products. This innovative technology enables users to control the power and settings of all connected home appliances in their houses from the touch screen on any of the products.

     

    In addition to controlling appliances, users will also be able to access the internet and various online applications, such as YouTube and music streaming apps, on the products. This seamless device connectivity experience through screen-based AI home gives Samsung a clear competitive edge in the market.

    Artificial intelligence (AI)

    AI refrigerator will function as a hub for the SmartThings connectivity platformIAN

    AI refrigerator models will function as a hub for the SmartThings connectivity platform, connecting not only home appliances but also other home furnishings, such as door locks, curtains, and lightings. Moon Jong-seung, vice president of the digital appliances business division at Samsung Electronics, stated, We will continue to introduce a variety of AI home appliances and services to help users reduce household chores and enjoy a wide range of device connectivity experiences.

     

    The Bespoke refrigerators, a part of the new lineup, are equipped with 9-inch touch screens, alongside Bespoke washing machines and dryers featuring 7-inch touch screens. The touch screens provide access to the “Map View” function, allowing users to oversee and control all connected devices in their homes. Future updates will enable advanced remote controls, such as mode adjustments and temperature settings.

    Samsung’s commitment to AI technology is not new. The company has been a pioneer in integrating AI into its products, aiming to make consumers’ lives easier and more convenient. The upcoming CES 2025 is another opportunity for Samsung to showcase its innovative AI-driven home appliances, further solidifying its position as a leader in the tech industry.

  • 79% of Indian companies plan to increase AI spending in 2025: Freshworks’ AI Workplace Report – CRN

    79% of Indian companies plan to increase AI spending in 2025: Freshworks’ AI Workplace Report – CRN

    Companies in India believe AI is essential for business success in 2025, showcasing the highest sentiment globally, according to the Freshworks’ AI Workplace Report. With 79% of organisations planning to increase AI budgets and an anticipated 41% average rise in spending from 2024—the largest globally—India is setting new benchmarks in AI integration and innovation, driven by confidence in its ROI.

    The Freshworks’ AI Workplace Report surveyed 4,000 professionals, including C-suite executives, globally across HR, IT, customer services and support, finance and accounting, sales, marketing, and legal departments.

    Some key observations on how India is leading the race to use AI:

    India leads global AI adoption and trust

    The report finds India at the forefront of AI adoption, with an exceptional level of expertise and confidence in AI-powered software that sets it apart globally. Globally, just 26% of workers say they use AI every day. In India, that figure is nearly double, with 45% saying they use it daily.

    74% of Indian professionals consider themselves knowledgeable or expert in AI, well above the global average of 55%. This is reflected in their comfort and trust, with 91% of employees in India feeling at ease using AI tools (67% globally) and 90% trusting AI to enhance their work processes (66% globally).

    A key driver of this progress is that India has the highest percentage of employees stating mandatory AI-use policies within their workplaces, with 65% saying they are required to use AI within all or part of their workload, the highest percentage globally. This is particularly evident in IT and Marketing, where employees were quick to point out that AI is both powerful, quick to show results, and even “necessary” to some employees.

    In fact, 88% of Indian workers use AI-powered software weekly, a rate that outpaces all other regions, including the US, UK, and Europe. As a result, 85% leaders of organisations in India report improved ROI from their AI investments, with IT and Marketing departments seeing the most notable returns.

    Investment in workforce upskilling

    In India, businesses are prioritising workforce readiness, with 90% saying AI solutions are necessary to drive business success by 2025. A significant 88% of these businesses are focusing on AI training to future-proof their workforce, the highest among global counterparts like the UK (66%), Australia (62%), and Europe (67%).

    These initiatives are heavily focused on ongoing security training (50%), along with upfront onboarding for AI tools (40%), reflecting the nation’s advanced AI adoption rate. Marketing (84%) and IT (81%) teams in India lead the race when it comes to implementation of training the workforce on AI.

    AI as a catalyst for career growth

    Over two-thirds (67%) of Indian workers report career advancements tied to AI adoption, significantly higher than the US (34%) and UK (35%), where AI’s impact on career growth is comparatively nascent.

    Commenting on the report, Shelton Rego, Vice President of Freshworks India, said, “This report provides a fascinating overview of AI adoption globally, with India standing out with exceptional levels of usage and expertise. The combination of mandatory AI integration and workforce upskilling initiatives is driving India’s productivity and innovation to new heights.”

    AI chatbots revolutionising customer service and employee service

    Among all workplace functions, India’s customer service teams are witnessing a transformative shift driven by AI chatbots. Majority (88%) of IT service and customer service professionals in India consider AI chatbots essential to ease their workloads. These tools streamline operations, enhance service quality, and allow employees to focus on strategic initiatives. Furthermore, 84% of customer service teams utilise AI for critical tasks, such as managing online self-service portals and monitoring customer interactions for quality assurance. The widespread adoption of AI tools has resulted in 48% of employees noting improved client experiences.

    Rego added, “AI agents will increasingly be an integral part of how businesses approach delivering experiences to their customers while making lives easier for their employees. We have been empowering this change for businesses and the data now shows the large scale impact AI has for these high volume, high performance business functions.”

    In conclusion, India’s confidence in AI, coupled with its widespread adoption and high levels of trust, places the country firmly ahead of global counterparts in AI-driven workplace success. This growing integration not only promises enhanced productivity but solidifies India’s position as a leader in the next wave of technological evolution.

  • Mobile subscriptions in India stand at 115.12 crore: Centre

    Mobile subscriptions in India stand at 115.12 crore: CentreIANS

    The total number of mobile subscriptions in the country now stands at 115.12 crore (as on October 31), the Parliament was informed on Wednesday.

    Out of 6,44,131 villages in the country, around 6,23,622 villages now have mobile coverage, Minister of State for Communications and Rural Development, Dr Chandra Sekhar Pemmasani, told the Lok Sabha in a written reply to a question.

    Mobile coverage for inhabited uncovered villages is provided by the government and the telecom service providers (TSPs) in a phased manner, he added.

    Further, the government is implementing various schemes and projects under Digital Bharat Nidhi (DBN) for the expansion of telecom connectivity through the installation of mobile towers in rural, remote, and hilly areas of the country, said the minister.

    Government informed that mobile network coverage in rural India has reached nearly 97 per centReuters

    In addition, the BharatNet project (earlier known as National Optical Fiber Network) being funded by Digital Bharat Nidhi is being implemented in a phased manner to provide broadband connectivity to all Gram Panchayats (GPs) in the country.

    The amended BharatNet Programme was approved by Cabinet for the up-gradation of the existing network of BharatNet Phase-I and Phase-II, creation of a network in the remaining nearly 42,000 gram panchayats, operation and maintenance for 10 years and utilisation at the total cost of Rs 1,39,579 crore, said Dr Pemmasani.

    Last week, the government informed that mobile network coverage in rural India has reached nearly 97 per cent and at least 6,14,564 villages are covered with 4G mobile connectivity.

    In a reply to a question in Rajya Sabha, Dr Pemmasani said that under the Pradhan Mantri Janjati Adivasi Nyaya Maha Abhiyan

    (PM JANMAN) of the Ministry of Tribal Affairs, 4,543 particularly vulnerable tribal group (PVTG) habitations were identified as mobile uncovered and out of these, 1,136 PVTG habitations have been covered with mobile connectivity.

    In the meantime, 5G services are now available in 779 districts out of 783 districts in the country (as of October 31). Further, more than 4.6 lakh 5G Base Transceiver Stations (BTSs) have been installed in the country, informed the minister.

    (With inputs from IANS)

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  • SentinelOne announces Kris Day as Senior Vice President for Asia Pacific and Japan – CRN

    SentinelOne announces Kris Day as Senior Vice President for Asia Pacific and Japan – CRN

    SentinelOne has named Kris Day as Senior Vice President for Asia Pacific and Japan, succeeding Evan Davidson. With more than 25 years of technology industry experience, Day brings extensive leadership expertise across multiple disciplines and geographies. His background includes leading successful go-to-market strategies, building effective teams, and managing complex sales environments spanning hardware, software, services, and partner ecosystems in both Europe and APJ.

    In his new role, Day will focus on accelerating SentinelOne’s growth in the Asia Pacific and Japan region, developing market coverage, expanding the company’s partner ecosystem, and strengthening customer relationships. He will guide the team toward operational excellence, establish a scalable organisational structure, and foster a high-performance culture that can support SentinelOne’s continued global expansion.

    Day previously held executive leadership roles at New Relic, Dell/EMC, NetApp, SolidFire, HPE, and 3Par. His track record includes driving revenue growth, supporting customers through digital transformation initiatives, and enhancing partner-led sales strategies. Known and respected by the technology media, Day’s blend of international experience and proven results positions him to deliver significant value to SentinelOne’s fastest-growing business segment.

    Originally from England, Day has lived in Singapore for more than 14 years. His longstanding presence in the region, combined with deep industry insight and a reputation for cultivating strong internal and external relationships, further strengthens SentinelOne’s commitment to leading the cybersecurity market. As he takes on this new responsibility, Day will focus on supporting the diverse needs of customers, partners, and the broader technology community across APJ.