Author: Malavika Madgula

In mid-February 2026, Sify Digital Services and HCL Software shook hands on rolling out a fully managed sovereign AI (artificial intelligence) stack for Indian enterprises These efforts to localise AI infrastructure came on the heels of India unveiling three new, indigenous, and sovereign AI models from BharatGen, Gnani.ai, and Sarvam at the India AI Impact Summit in early February 2026. This push for sovereign AI stems from the idea of an “Atmanirbhar Bharat,” which is the beginning of India’s journey towards designing and building self-reliant, homegrown alternatives to the AI systems world over that are dominated by Big Tech. As…

Imagine a scenario where an AI (artificial intelligence) agent just booked you a flight, transferred the funds, and updated the customer database — all while you were grabbing your much-needed cup of coffee… Sounds efficient, futuristic, and too good to be true, right? Now imagine its nightmarish version: the same AI agent which gets tricked by a clever prompt and begins chatting with shady APIs, ultimately escalating privileges across your entire system, or leaking sensitive data. Welcome to the agentic AI era, where autonomous agents aren’t simply chatting — they’re acting as well. They not only move data but also…

Imagine a bank that runs pre-runtime security before opening: this includes installing cameras, locking doors, and hiring and training staff and employees. This is basically the testing bit of securing an AI (artificial intelligence) model before deployment. Next, there’s runtime security, which takes place during working hours, when customers walk in and interact with tellers and transactions take place. Now here come the glitches: someone trying to move money illegally, behaving suspiciously, or trying to pass a fake cheque. This is where surveillance systems and live security guards step in, stopping threats immediately by detecting unusual activity and monitoring behaviour…

In an era where capital is moving faster than cognition, the convergence of machine precision and human strategy is no longer theoretical— it’s the very architecture of survival. According to a February 2024 report by the Alternative Investment Management Association (AIMA), a whopping 86% of the surveyed hedge fund managers allowed some employees access to multiple Generative artificial intelligence (GenAI) tools to support their work. That number was up to 95% by September 2025. Hedge funds, especially multi-strategy ones, are already deploying fleets of artificial intelligence agents (AI agents) to expand stock coverage and research capacity dramatically, and we could…

A new-age, open-source hedge fund has 18 portfolio managers instead of one. Not only do they go beyond analysing stocks, but each one of them follows a different style, arguing, challenging each other, and even voting on what to buy or sell Oh — and they aren’t humans. It might not be managing money yet, but it’s already a reality of how AI (artificial intelligence) is now reshaping the way even trading decisions are made. Hedge funds and portfolio managers are now increasingly turning to AI and automation to modernise trading operations, even as data volumes explode, markets become more…

Imagine running a SaaS (Software-as-a-Service) platform where hundreds of businesses, from Fortune 500 firms to small bakeries, use an application simultaneously, with each of them expecting their performance to be unaffected by others and their data to be completely private This is exactly the kind of everyday reality that multi-tenant cloud architecture is designed to handle — many isolated worlds, a shared infrastructure. Multi-tenant cloud architecture is a cloud computing model where many tenants share the same infrastructure but maintain data security and isolation. This model not only ensures streamlined management, but also cost savings and efficient utilisation of resources.…

For nearly two decades, SaaS (Software-as-a-Service) pricing has worked like a well-oiled machine… In the cloud era, seat-based tiers and flat-rate plans made up for predictable MRR (monthly recurring revenue), with the value scaling with the number of users accessing shared systems. However, the traditional SaaS playbook was designed for a different era, where it made sense to tie value to access when it was users who were driving outcomes. In the AI (artificial intelligence) era, value has shifted from users to the work that the software performs on your behalf, automating tasks and deciding, analysing, and resolving on its…

On March 11th, 2026, the controversial mobile-first cryptocurrency, Pi, the native coin of the Pi Network, defied all market trends to surge 6%, outperforming the broader cryptocurrency market that day… This upward rally comes amidst a flurry of news: large wallet investors expanding their Pi holdings, consistent outflows from exchanges, a potential big-ticket listing, some positive pieces of news, and, of course, the onset of Pi Day on March 14th, 2026. In fact, the Pi token has been showing growing demand ahead of Pi Day, when the entire community celebrates the day corresponding to the mathematical constant Pi’s first three…

Get this: it’s the day before a family member’s birthday celebrations, and you desperately need a gift under USD 100 that arrives tomorrow… Instead of rifling across multiple tabs, you simply ask an AI assistant and bam – it understands your needs, evaluates the context and constraints, and recommends a gift choice you feel good about giving. Now imagine having such a personal AI assistant shopper in your lives – someone who deeply understands your budget, lifestyle, and preferences and effortlessly curates tailored product recommendations from thousands of choices, even getting you the best prices and completing transactions autonomously. Suddenly,…

According to a Katonic AI report, data triangulated from Gartner, IDC, and Forrester showed that Cloud spends grew from less than USD 20 billion in 2010 to a whopping USD 400 billion in 2024 – in a mere span of 15 years. According to new analysis, Agentic AI could follow an even steeper curve. A handful of hyperscalers hold an overwhelming majority of the market share today, but an emerging architectural pattern could shift the balance of power from these Cloud giants to intelligent agents, commoditising the very services that built their empires. This paradigm shift is driven by Generative…