PANKAJ MITTAL
FOUNDER & CEO, DIGIZEN CONSULTING
“AI is the new buzzword, but let’s be clear — much of this isn’t entirely new. We’ve already lived through digital transformation, automation, RPA and intelligent automation. What we now call agentic AI, generative AI, ChatGPT and Copilot is an evolution of that journey. The real shift is in predictive capability — not just learning from historical data, but responding to configurable parameters and delivering intelligent outcomes. The AI stack today spans infrastructure, foundation models and the interface layer, including ChatGPT-style tools, and it is expanding at unprecedented speed.
AI is not a lift-and-shift exercise. It requires root-and-branch changes in architecture, operating models and enterprise thinking. Boards and CXOs are asking the same old question again — build versus buy. Should we develop proprietary models on our own datasets or depend on external vendors? Successful AI implementation demands clarity of outcome, high-quality datasets and a dedicated AI project leader. Capture value, not just usage. Don’t blindly trust AI outputs or assume productivity gains without governance. Collaboration across product, platform, engineering and domain teams is critical before making the AI shift.
AI may disrupt certain jobs, but it is already creating new ones — from data annotation and prompt engineering to AI security and forensic roles. Data is a strategic asset, but without AI-enabled refinement it lacks actionable intelligence. Enterprises must invest in infrastructure, ethical guardrails and regulatory alignment. AI is not optional anymore — it is strategic. Start small, scale fast and think long term.”
