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AI Governance Models: The New Risk Surface Every CTO Must Manage
As companies expand their use of generative and agent-based AI, the focus of AI governance is changing. It’s not just about policies or compliance checklists anymore. The main challenge now is how organizations design their AI governance models to oversee, control, and manage risk in fast-changing AI systems. For CTOs, this is now a new…
What AI Readiness Framework Actually Demands: Sean Blanchfield Explains
AI Readiness vs. AI Capability:. This interview explains why infrastructure, governance, and workflow ownership are key to scalable, production-grade AI readiness framework. Enterprise AI is entering its operational phase. The conversation has shifted from dazzling demos and benchmark scores to something far less glamorous, and far more consequential. Infrastructure. Governance. Operational control. The hard questions…
The Grok AI Scandal: A Failure of Governance, Not Technology
In today’s hyperconnected digital environment, artificial intelligence systems have become deeply embedded across platforms, workflows, and decision-making processes. While these systems unlock unprecedented scale and speed, they also introduce new categories of risk, especially when advanced inference capabilities outpace governance controls. These risks do not stem from a single failure point, but from a composite…
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Scaling Agentic AI: When AI Takes Action, the Real Challenge Begins
Scaling Agentic AI in Production: An in-depth interview on scaling agentic AI in production, focusing on enterprise AI governance, observability, risk control, and trust. For the last few years, enterprise AI has mostly lived in two worlds: prediction and generation. Prediction helped organizations forecast demand, detect fraud, and optimize pricing. Generation accelerated knowledge work through…
AI for Good in Practice: A Conversation with Gabe Kopley and Felicia Curcuru
AI and Tech Leadership: This interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have led transformations at scale, the series examines how AI reshapes execution, accountability, and outcomes. In…
Why Data Governance Frameworks Are No Longer Optional: Ananya Sundar on What’s Changed
AI and Tech Leadership: This interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have led transformations at scale, the series examines how AI reshapes execution, accountability, and outcomes. For…
The Zero-Click Market is Here—and Most Retail Systems Aren’t Built for It
For more than a decade, e-commerce followed a familiar formula: prepare inventory, launch campaigns, win SEO, and guide users through a carefully designed journey to checkout. The assumption was straightforward—get a human to the site, and branding, UX, and persuasion would do the rest. That assumption is now breaking at a systems level. Recent moves…
What AI Leadership Gets Right, and What It Often Gets Wrong: Lessons from Deependra Chokkasamudra
AI and Tech Leadership: This interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have led transformations at scale, the series examines how AI reshapes execution, accountability, and outcomes. For…
AI Operating Model: How Agentic AI Reshapes Teams, Workflows, and AccountabilityÂ
The modern enterprise operating model is under pressure. Not because leaders lack ambition, but because traditional structures were never designed for intelligence that can act, decide, and learn at scale. The agentic AI operating model represents a fundamental shift in how work gets done inside large organizations, one that blends human judgment with autonomous AI systems to deliver outcomes…
How Agentic AI is Eliminating Operational Silos Across BFSI Enterprises
Most enterprises learned governance through documentation, security through reviews, and guardrails through approvals. That model worked when AI was experimental. It worked when AI lived in pilots and analytical use cases — when models informed decisions rather than executed them. But it begins to break down the moment AI enters production, when models act, agents…