Tech to Transform

Risks, Ethics & Governance in the Age of GenAI With great power comes even greater responsibility. We’ve explored the tremendous promise of Generative AI — how it’s reshaping business models, accelerating innovation, and amplifying human creativity in ways once unimaginable. But as with any powerful technology, GenAI brings with it a shadow side — a complex web of risks, ethical dilemmas, and governance challenges that can no longer be considered optional side notes. They must move to the center of the conversation. These challenges aren’t just hypothetical or futuristic. They are real, growing, and already impacting society in subtle and sometimes profound ways. While much has been written and discussed about the legal, regulatory, and economic frameworks surrounding AI, this post aims to zoom in on something more fundamental and immediate : The ethical and social consequences of widespread GenAI adoption — and our collective responsibility in shaping how this technol...

How Business Ecosystems Are Transforming with GenAI The rise of Generative AI isn’t just another wave of digital transformation. It’s a paradigm shift — one that is redefining not only what technology can do, but how businesses think, operate, and evolve. From strategic boardroom discussions to real-time customer interactions, GenAI is reshaping every layer of the enterprise. It’s enabling organizations to: Invent new products that were previously unimaginable Reimagine services with unprecedented levels of personalization     Redesign experiences that feel natural, responsive, and intelligent In essence, GenAI is becoming the co-pilot of business innovation — augmenting creativity, accelerating decision-making, and unlocking efficiencies across the value chain. But Transformation Isn’t One-Size-Fits-All Despite the rapid momentum, adopting GenAI meaningfully isn't about blindly deploying the latest tools. Success depends on thoughtful alignment with bu...

The Power of the Tech Stack Behind GenAI If you’ve followed the history of Artificial Intelligence, you’re probably familiar with the journey — from the Turing Test in the 1950s, through early experiments like ELIZA , to the long AI winters , and finally into today’s GenAI boom. So no, this post isn’t another trip down memory lane. As an engineer who lives and breathes technology, I want to focus on something more foundational and often overlooked: The powerful technology stack that made the GenAI revolution possible. Generative AI didn’t emerge in isolation. It was enabled by decades of hard-fought progress in cloud computing, connectivity, hardware, and data infrastructure. Let’s dive in. 1. Cloud Computing: Scalability Meets Accessibility Generative AI models like ChatGPT , and  Gemini   are built on massive deep learning architectures — often containing billions of parameters and trained on trillions of data points . Running such large-scale models requi...