Technology, Business and Society
Tag: Technology
Remember when knowing “prompt engineering” was enough to look like the smartest person in the meeting? That skill now has the shelf life of a mango in a Delhi June. In just three years, AI models have gone from witty chatbots that wrote poems about your cat to software agents that read your codebase, call APIs, and file the ticket before you finish your chai.
Continue reading “The AI Model Glow-Up: What AI Professionals Must Learn Next”
For the last few years, the AI industry has behaved like a teenager at a gym: bigger, bigger, bigger. Every new language model arrived with more parameters, more data and a bigger electricity bill than the last. Then a quiet rebellion began. Researchers started asking a very Indian question: “Kitna deti hai?” How much performance do we actually get for every rupee of compute? The answer gave rise to Small Language Models, or SLMs. These are the compact, fuel-efficient cousins of giant models like GPT or Claude. They will not win a trivia contest against their big relatives, but they can run on your laptop, answer in a blink, and keep your data at home. In this post, let us open the bonnet and see what SLMs are, how they work, and why businesses are suddenly so fond of them.
Continue reading “Small Language Models: Big Brains in Small Packages”
In every boardroom discussion on generative AI these days, two acronyms get thrown around like confetti at a Delhi wedding: SLMs and RAG. Someone says, “We should go for an SLM,” someone else says, “No, RAG is better,” and everyone nods wisely while quietly Googling both under the table. Here is the twist. Comparing Small Language Models (SLMs) with Retrieval-Augmented Generation (RAG) is a bit like comparing a compact car with Google Maps. One is the vehicle; the other is a way of finding where to go. They solve different problems, and understanding that difference is exactly what helps managers make smarter AI investments.
Continue reading “SLMs vs RAG: Small Brains, Big Libraries”
Imagine you open an app and an animated character you have been chatting with sends you a message: “So, my friend XXX was playing dodgeball in P.E. class, and while trying to dodge the ball, he tripped and fell. Oh gosh.” You chuckle. Poor XXX. You type back, “Is he okay?” and before you know it, you have exchanged twenty messages about a gym class that never happened, involving a boy who does not exist, told by a character who is entirely made of code.
Continue reading “My Chatbot Has a Best Friend – Ways AI Tries to Feel Human”
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”
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