In 2025, Paytm Founder and CEO Vijay Shekhar Sharma said India should settle for being the AI use case capital. At Cypher 2026 in Bengaluru, he made the case for something far more ambitious. Sharma argued that India has spent too long building applications on top of technology developed and owned elsewhere. The problem is we're unambitious, he said. He then backed his argument with...

A technique, not a crime, until it is. As of May 2026, the Copyright Alliance had counted over 110 copyright lawsuits against companies building frontier AI models. The accused in these cases are the industry's biggest names: Meta, Anthropic, OpenAI, and others. A few of these cases have drawn wide publicity, especially where big tech has been found guilty or has settled. Most centre on...

Artificial intelligence has quickly become a priority across boardrooms, technology teams, and workplaces. Companies are investing in AI tools, employees are building new technical skills, and businesses are experimenting with how emerging technology can improve productivity, customer experience, and decision-making. But as organisations move from experimenting to actually implementing AI, a more basic challenge is surfacing. Having access to technology, or even knowing how to...

In Inner Mongolia's grasslands, farmers now work beside a new kind of neighbor: massive data centers rising from the same fields once known only for potatoes as per recent report published by BBC Ulanqab has long been called China's "potato capital." Now it's also become a construction zone for the computing power behind China's AI ambitions - timed almost exactly as Donald Trump and Xi...

By Vijeth Shivappa Why governments must move beyond voluntary assurances and establish enforceable, technically credible oversight for increasingly autonomous artificial intelligence. The companies building increasingly autonomous AI systems should not be allowed to define, enforce and verify. Artificial intelligence has entered an era of extraordinary contradiction. The companies developing the world's most capable systems warn that AI could disrupt labour markets, amplify disinformation, enable cyberattacks and,...

By Vijeth Shivappa | Founder and CTO Hyperion AIOps Inc Jacob Coxon’s resignation from Anthropic has intensified a question the technology industry can no longer postpone: who has the authority to stop an advanced AI system before its intelligence becomes real world power? The most important part of Jacob Coxon’s warning is not its most dramatic sentence. His suggestion that artificial intelligence could destroy humanity by...

By Vijeth Shivappa As AI agents begin searching, negotiating and purchasing on behalf of people and enterprises, the strategic question is no longer whether machines will transact—but how human authority, payment execution and accountability will be connected. Artificial intelligence is rapidly moving beyond answering questions and generating content. The next phase of AI will involve autonomous agents that search for products, negotiate with service providers, book...

By Vijeth Shivappa Enterprise AI is entering its next major phase. Only a year ago, the industry's attention was focused almost entirely on foundation models. Organizations compared benchmark scores, debated the merits of proprietary versus open-source models, and searched for the model that could generate the most accurate responses. Today, that conversation has shifted dramatically. The new enterprise AI race is no longer about deploying smarter...

In this conversation with CXO XPERTS, explains why the firm is now pushing into the mid-market — and why AI, more than pricing, is the real unlock. He discusses outcome-based pricing that removes upfront cost, how contract and invoice data can self-fund an enterprise AI budget, why overcoming organizational resistance comes down to speed of first results, and what a realistic AI adoption roadmap...

As enterprises move beyond AI experimentation and toward real-world deployment, the conversation is shifting from hype to outcomes. For Aksheshkumar Ajaykumar Shah, Founder and CEO of Cogniify.ai, that shift is exactly where the industry needs to focus. An AI entrepreneur and applied machine learning leader with experience across Google, C3 AI, Fractal and VideoAmp, Shah has worked on large-scale systems spanning NLP, LLM optimization, predictive...