Enterprise AI Is Entering Its Governance Era
Enterprise AI is moving from isolated copilots to a network of interacting agents, prompting a shift toward robust governance. Harpreet Singh Dhariwal of Salesforce outlines three governance layers—data, API, and agent—to ensure reliability, safety, and transparency. Poor data quality can lead to flawed actions, while unchecked API calls risk system integrity. Effective governance will become the control layer that determines trust, scalability, and sustainability of AI deployments.
Why Power, Cooling, and Compute Are Now the Defining Challenge for Data Centers
India is positioning itself as a global data‑center hub, buoyed by tax incentives that now run through 2047. The AI boom, however, is exposing physical limits as compute density drives unprecedented power and cooling demands. Existing infrastructure—grids, water supplies, and...
Practical Steps to Prepare Enterprise Data for Generative AI: Gartner
Enterprises are hitting data‑quality and accessibility roadblocks as they scale generative AI, with over 25% of AI leaders citing these issues as top barriers. Gartner’s 2026 survey shows that firms using automated data‑readiness assessments are 2.3 times more likely to achieve...
How AI Is Redefining Customer Experience in India’s Insurance Sector
India’s insurance sector is undergoing a technology‑led overhaul as artificial intelligence becomes the core driver of customer experience. An EY India study projects AI‑enabled productivity gains of 34‑38% for financial services by 2030, with insurers leveraging cloud‑native platforms, real‑time analytics...
How Agentic Analytics Is Shaping Decision-Making Within Enterprises
Enterprises are moving beyond static dashboards to Agentic Analytics, an AI‑driven approach that monitors, interprets, and acts on real‑time data without human prompts. By embedding autonomous agents into finance, supply‑chain, and sales workflows, companies can flag risks, predict outcomes, and...
Agentic AI Will Fail without a Stronger Data Backbone
Enterprises are rapidly moving from experimenting with AI agents to scaling agentic AI, with 23% already deploying agents in at least one function. However, many organizations still rely on legacy, fragmented data stacks that cannot meet the low‑latency, high‑throughput demands...
Dr. A Shiju Rawther Joins CareEdge Ratings as Chief Information & Technology Officer
Dr. A. Shiju Rawther, a veteran technology executive with 25 years in financial services, has been appointed Chief Information & Technology Officer at CareEdge Ratings Limited, one of India’s leading credit‑rating firms. Previously heading IT at SBI Mutual Fund, he...
From Resilience to Reinvention: The AI Advantage for India’s Small Businesses
India’s micro, small and medium enterprises (MSMEs) account for roughly 30 % of GDP and employ millions, yet only 35 % have a clear AI roadmap. A NASSCOM whitepaper shows 94 % believe AI can transform their businesses, while 65 % lack knowledge of...
The Agentic Web Is Coming—And Sooner than You Think: Dr. Tom Leighton, Co-Founder & CEO, Akamai
In an interview, Akamai CEO Dr. Tom Leighton says the rise of AI agents will reshape the web into an "agentic" model that relies on massive, distributed compute at the edge. He highlights Akamai’s 4,000 points of presence across 700...
From Data to Decisions to Dispositions: How Agentic AI Is Rewiring the Modern C-Suite
Agentic AI is set to become a core component of enterprise software, with Gartner projecting that 33% of applications will embed such agents by 2028 and usage rising from 1% in 2024 to 15% of daily operations. The technology moves...
First Compute, Now Conversation: Why Companies Are Racing Toward Voice AI
Voice AI is transitioning from a novelty to a core commerce interface, driven by rising user adoption and linguistic diversity. Companies like Meesho and Swiggy are deploying conversational assistants that handle end‑to‑end shopping and food‑ordering experiences, leveraging edge computing and...
The End of Stateless AI: Why Memory Will Define the Next Phase of Enterprise Systems
Enterprise AI agents are increasingly hampered by their stateless design, which forces them to forget context after each interaction. This limitation inflates compute costs, introduces latency, and erodes user confidence, especially in multi‑step workflows that span days or weeks. Recent...
Zomato Cuts $11M in Support Costs with MongoDB Powered AI Platform
Zomato has reduced its annual customer support spend by $11 million, slashing costs 55% after deploying Nugget, an AI‑native CX platform built on MongoDB Atlas. Nugget automates high‑volume, omnichannel interactions, handling over 15 million conversations per month with an 85% autonomous resolution...
Why Workflow Automation without Agents Is the Next Technical Debt
Enterprises that embraced rule‑based workflow automation over the past decade are now confronting a hidden technical debt as brittle processes demand constant human intervention. While early adopters saw cost cuts and faster cycles, the lack of embedded intelligence means exceptions...
Nvidia to Sell 1 Million Chips to Amazon by End of 2027 in Cloud Deal
Nvidia announced a multi‑year agreement to deliver one million GPU chips to Amazon Web Services by the end of 2027, alongside a suite of its networking and inference accelerators. Sales begin this year and will run through 2027, complementing Nvidia’s...
