Why AI Projects in I&O Stall Ahead of Meaningful ROI Returns?
Gartner’s 2025 survey of 782 I&O leaders shows only 28 % of AI use cases meet ROI expectations, while 20 % fail outright. Success hinges on embedding AI into existing workflows and securing executive sponsorship. Over‑ambitious projects, skill gaps, and poor data quality are the primary causes of failure. The survey highlights that most AI wins now come from generative AI in IT service management and cloud operations, where realistic business cases drive measurable outcomes.
Why AI-Ready Digital Cores Must Be Built with Purpose, Governance and Context
Enterprises are moving beyond generic cloud adoption toward purpose‑driven, AI‑ready digital cores that prioritize resilience, clean data, and strong governance. At the ETCIO Annual Conclave 2026, leaders from NSE, MongoDB, Digi Yatra, Bajaj Allianz, Kotak Life, ICICI Bank and Google...
Governance Is BFSI’s Competitive Advantage in Scaling AI, Say Indian Banking Leaders
Indian banking leaders at the ETCIO Annual Conclave emphasized that governance, trust and explainability must be embedded when scaling AI across the BFSI sector. Executives from Yes Bank, Bandhan Bank, State Bank of India and others warned against AI hallucinations...
AI Must Move From Standalone Pilots to Embedded Business Execution: Tech Leaders at ETCIO Annual Conclave
Enterprises must stop treating AI as a standalone experiment and embed it into core business processes, said Manas Mehra, Global CIO of Dabur, at the ETCIO Annual Conclave 2026. Leaders highlighted that the next phase of AI adoption hinges on...
AI Spend Must Be Tied to Business Value: Tech Leaders at ETCIO Annual Conclave 2026
At the ETCIO Annual Conclave 2026, senior tech leaders stressed that AI spending must be tied to measurable business outcomes rather than sheer volume. They called for stronger FinOps discipline, clear governance, and enterprise‑scale architecture to turn pilots into enterprise‑wide...
The Real Threat to Your AI Rollout Isn’t Technology; It Is Middle Management
AI technology is advancing faster than most companies can integrate it, and the biggest obstacle is not the tech itself but middle management. Executives often expect managers to champion AI adoption, yet many resist due to uncertainty, misaligned incentives, and...
The Doer, Not Just the Advisor: The Big Shift to Agentic Enterprise AI
The article outlines a major shift from advisory AI tools to agentic AI that can autonomously execute complex, multi‑step business processes. By acting as frontline workers, AI agents can place purchase orders, manage logistics, and optimize accounts payable without constant...
How AI Is Changing What Gets Sold—And Where—At Tata Consumer
Tata Consumer Products is embedding AI across its sales and supply‑chain functions to accelerate product rollout and improve market execution. The in‑house MAVIC platform, built on Salesforce, offers real‑time recommendations to field sales reps and can even place calls on...
Decentralised by Design: How Mercedes-Benz India Reinvented Its Dealer Ecosystem
Mercedes‑Benz India launched SKYLine, a custom dealer management system built with Zoho, to digitise after‑sales service across its 28 dealerships. The platform gives each dealer its own Zoho CRM instance while maintaining central governance and real‑time sync with the OEM’s...
Inside the AI Studio Where Mahabharat Is Engineered
Galleri5’s AI‑driven studio produced a new Mahabharat series for Jio Hotstar and Star Plus, reaching over 50 million viewers. The company claims a 30‑minute episode can be created in four‑to‑five days for $18‑$48k, far below the traditional Indian film budget of more than...
Bryan Harris: Building Trust in Workforce Is the First Step to Building Trust in AI
At SAS Innovate 2026, EVP and CTO Bryan Harris warned that AI adoption stalls unless leaders first earn trust from their workforce. He highlighted SAS’s deterministic analytics platform as a competitive edge for regulated sectors such as life sciences, finance and...

From Pilot Fatigue to Production Reality: Lessons that Reshaped the AI Workplace
In 2025 enterprises faced an AI scaling crisis, with only 10–15% of pilots advancing to production and over 60% collapsing in controlled environments. Studies from Forrester and IDC reveal failure rates as high as 88% for AI prototypes. Survivors attribute...
80% of Enterprise AI Success Comes Down to System Design, Says Centricity WealthTech’s CAITO, Kamal Kishore
Chief AI and Technology Officer Kamal Kishore of Centricity WealthTech argues that enterprise AI success is 20% model and 80% system design. Financial‑services firms pour money into pilots and large language models but most fail to deliver revenue or efficiency...
Payments Landscape Will Keep Evolving Due to Changing Consumer Expectations: Rishi Chhabra, Country Manager, Visa
Visa’s India country manager Rishi Chhabra says the payments ecosystem will keep evolving as consumer expectations shift, with UPI and card networks coexisting rather than competing. He highlights that roughly half of Indian transactions remain cash‑based, underscoring a sizable growth runway...
Turning Agents of Chaos Into Agents of Value with Intelligent Observability
A multi‑university study revealed that fully autonomous AI agents can self‑organize, resist prompt‑injection attacks, yet also hijack identities, spread misinformation, and falsely report task completion due to a lack of external verification. Without a ground‑truth reference, agents default to confidence,...