Technology, Business and Society
Tag: Technology
When businesses discuss digital transformation, the conversation usually revolves around software. Cloud platforms replace local servers, artificial intelligence assists employees with everyday tasks, and automation moves information between applications without manual intervention.
Continue reading “The Smart Workplace Is Going Physical: How Everyday Office Tools Are Becoming Connected”
The top 2% list of Researchers is out again. have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and single recent year impact. Metrics with and without self-citations, ratio of citations to citing papers, retracted papers (based on Retraction Watch database) and citations to/from retracted papers are also shown to facilitate mapping of potential research integrity issues. Scientists are classified into 20 scientific fields and 174 sub-fields (Science-Metrix classification). Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers.
Continue reading “Top 2% Researchers List – Indian Subset”
Tarangini Bank, a mid-sized private sector bank founded in 1946 in Mangaluru, serves 14 million customers through 1,150 branches. By 2026, UPI, fintech competition, a squeeze on low-cost deposits and new data-protection rules are reshaping Indian retail banking. The bank’s segmentation still rests almost entirely on account balance. As a result, campaign response rates are poor, offers miss the mark, and valuable customers leave without warning. Ananya Deshpande, the bank’s new Chief Digital and Analytics Officer, proposes a segmentation built on demographics and on how customers actually spend across categories and channels, using k-means clustering. Her team must deal with duplicate customer records, stale demographic data, unclear UPI transactions, privacy obligations and a sceptical branch network. A pilot produces six clear segments that cut across the old balance tiers. Deshpande must now recommend to the board how quickly to roll out the new segmentation, which method to use, and how to turn the insight into a more customer-focused bank.
Continue reading “Tarangini Bank: Knowing the Customer using Artificial Intelligence”
A wireless bridge links two fixed locations, an outdoor access point serves Wi-Fi devices across an open area, and a 4G/5G router brings internet service to a site through a mobile network. Businesses comparing commercial outdoor wireless access point options should therefore start with the traffic path, not the largest advertised speed. This guide explains where each technology fits and when a combined design is more practical.
Continue reading “Choosing Between Wireless Bridges, Outdoor Access Points and 4G/5G Routers for Remote Business Connectivity”
Reliable business Wi-Fi does not come from one powerful router in the middle of a building. It needs a stable wired core, well-placed access point units, separate networks for different users, and simple monitoring. SMEs comparing ceiling-mounted access point options should first map where people work and which devices must stay online.
Continue reading “How SMEs Can Build a Reliable Wi-Fi Network for Offices, Warehouses and Multi-Site Operations”
A scalable IoT network starts with the work each device must do. Sensors may send small readings, while cameras and edge computers can move large amounts of data. The network also needs stable power, safe access, and a clear path to business systems. Teams comparing outdoor wireless access point options should first map device locations, traffic, power sources, and physical barriers.
Continue reading “Reliable Network Infrastructure for Scalable IoT and Edge Deployments”
Artificial Intelligence (AI) has rapidly evolved from a niche technological innovation into a foundational capability that influences nearly every aspect of society. Organizations increasingly deploy AI to automate decisions, augment human intelligence, personalize services, improve operational efficiency, and create new business models. AI systems now influence decisions related to healthcare, finance, education, governance, manufacturing, transportation, recruitment, and public safety. While these systems promise unprecedented opportunities for innovation and productivity, they also introduce significant ethical, legal, social, and technical challenges. Poorly designed AI systems can amplify biases, compromise privacy, generate misinformation, make unsafe recommendations, or produce decisions that are difficult to justify. Consequently, the conversation has shifted from merely developing more powerful AI models to ensuring that these models are developed and deployed responsibly. Responsible AI has to be a targeted objective by design and be central to design principles.
Continue reading “Responsible AI: Why the Pillars of Responsible Artificial Intelligence Matter”
The conversation about blockchain has changed to the hype of cryptocurrency to the real-world, institutional use. The technology is under consideration in the public sector especially in the unclaimed property systems where it has been identified as a possible corrective to an existing transparency gap. Currently, over $100 billion in funds sit in state accounts, yet many citizens remain skeptical of government data accuracy due to opaque escheatment processes and manual reconciliation hurdles.
Continue reading “Blockchain and Unclaimed Property: Can Distributed Ledgers Solve Government Data Transparency?”
The rapid evolution of digital technologies has fundamentally transformed how businesses interact with customers, suppliers, employees, and other stakeholders. Among these technologies, Generative Artificial Intelligence (Generative AI or GenAI) has emerged as one of the most transformative innovations of the digital era. Unlike earlier artificial intelligence systems that primarily focused on prediction, classification, or automation of repetitive tasks, Generative AI possesses the capability to create human-like text, images, videos, software code, and business insights. This ability has significantly lowered the barriers to digital transformation, particularly for small firms that often struggle with limited financial resources, technical expertise, and workforce capabilities. By democratizing access to advanced cognitive capabilities, Generative AI enables small firms to become more agile in their digital interactions, allowing them to respond quickly to market changes, personalize customer engagement, streamline internal communication, and continuously innovate their business models.
Continue reading “Boosting Small Business Agility with Generative AI”
The history of cybersecurity has largely been a history of reaction. Organizations have invested billions of dollars in firewalls, intrusion detection systems, endpoint protection, identity management, and security operations centers (SOCs), yet cybercriminals have consistently stayed one step ahead. The challenge is no longer the absence of security technologies but the inability of human analysts to process overwhelming volumes of data, identify sophisticated threats, and respond at machine speed. The rise of Generative Artificial Intelligence (GenAI) represents perhaps the most significant opportunity in decades to change this equation. Rather than serving merely as another security tool, GenAI has the potential to become an intelligent collaborator capable of augmenting every stage of the cybersecurity lifecycle.
Continue reading “The Cybersecurity Copilot: How Generative AI Is Reshaping Digital Defense”
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