Why AI-Driven Sustainability is Key to Long-Term Business SuccessÂ
For business leaders, the sustainability debate is no longer about whether to do something, but about the speed and effectiveness with which they can do so.  PwC estimates that AI could contribute 15.7 trillion to the global economy by 2030. In the meantime, the World Economic Forum cautions that more than half of world’s GDP…
Vipin Kumar
From Cost Pressure to Competitive Advantage: Strategies for Businesses in Uncertain TimesÂ
Companies are confronted with a difficult combination of rising costs and intense competition due to supply chain disruptions, higher raw material costs, and altered consumer behaviour. This is not only a situation that requires resilience, but also requires an entire reinvention. The world is experiencing a slowdown in growth, driven by supply shocks, trade uncertainties,…
Himanshu
RBI Engages Global Regulators on AI Cyber Risks
The Reserve Bank of India has initiated discussions with global regulators, domestic lenders, and government authorities to assess potential risks associated with Anthropic’s advanced artificial intelligence model, Mythos. Preliminary results suggest our model might speed up the identification and exploitation of software weaknesses, which could be a concern for cybersecurity in the banking sector. Officials…
Shipra Prajapati
From Resumes to Interviews: How AI Is Reshaping Every Step of Hiring
AI is revolutionising hiring faster than many realise. Almost every step of the hiring process…from when a resume is submitted to final interview stage…now uses Artificial Intelligence. As a job seeker or a recruiter reviewing thousands of applicants, AI tools are changing everything. Including: If you haven’t started learning about hiring AI yet, now’s the…
John David
Why ‘Flexible Work’ Is Quietly Turning Into an Always-Available Expectation
Imagine a work culture where work seamlessly integrates into your pocket. In this environment, you can attend meetings via a link at any time and from any location. While this seems to be progress, offering flexible hours, remote work, global opportunities, and freedom from office cubicles, there’s a more subtle reality beneath the surface. Today,…
CIO Agenda 2026: Surviving AI Failures, Financial Stress, and Workforce Disruption
If 2025 is the year when enterprises begin using artificial intelligence, 2026 will be the year when they have to bear the financial, operational, and reputational costs. Technology leaders are entering a roller coaster, a chess match, and an improv comedy all in one. The Forrester study indicates that the majority of CIOs are expected…
The Real Reason AI Fails in Enterprises and How CXOs Can Fix It
The failure of AI in most companies is rooted in common issues: pilots that may never scale, use cases that may never integrate into workflows, and spending that may never impact the P&L. Data already shows the gap. A study by IBM CEOs revealed that only 25% of AI projects achieved their expected ROI, and…
Bhumika
How India Should Regulate AI in Fintech
Balancing Innovation with Trust and Stability In 2025, India is at the forefront of one of the world’s largest financial revolutions. Artificial Intelligence has moved beyond a futuristic idea and has become a vital part of financial innovation. Industry data show that nearly 90% of Indian banks, fintechs, and insurers have integrated AI into their…
ABHYUDAYA MITTAL
Leadership Lessons: Ajai Chowdhary, Co-Founder, HCL
Ajai Chowdhary and five others founded HCL in 1976, when they were young engineers with a radical idea to utilise the newfound potential of microprocessors and establish India on the world computing map. Four decades later, this concept has become a multi-billion-dollar technology company and a legacy of corporate achievement, national policy, and talent. In…
The Reasons Behind the Failure of AI Initiatives and What Can Be Done About it by CIOs
Artificial Intelligence is efficient, insightful, and offers a competitive advantage. But to most organisations AI is now a hopeful story: more hype than hard performance. Most AI projects do not contribute to any meaningful business value even after heavy investment. The reality is evident and disturbing: the majority of AI projects fail to pass the…
