In this episode of the TTP Podcast, Craig Whiting sits down with Adri Purkayastha, AI risk expert, product strategist, and former big four data scientist for a deep conversation about the evolving relationship between artificial intelligence, governance, and business value.Adri shares his unconventional journey from building early ML products as a student entrepreneur to overseeing AI technology risk across financial services, wealth management, and investment banking. The conversation dives deep into how institutions can responsibly adopt AI, what they often get wrong, and why speed, structure, and talent will separate the winners from the rest.If you work in tech, hiring, engineering leadership, or innovation strategy, this episode offers a rare look at the infrastructure and human decisions behind AI adoption. Plus the risks no one talks about.🎙 Key Topics:🔹 What AI “hallucination” means—and why it’s more dangerous than most realize🔹 The future of engineering teams in an AI-native environment🔹 Why curiosity and speed of learning will define top tech talent🔹 The shift from cost centers to value centers in enterprise technology🔹 How AI changes org design, governance, and product ownership🔹 The rise of the modern IC (individual contributor) as a key strategic asset🔹 What financial institutions can learn from product-led tech orgs🔹 Why failing fast is essential—and why waiting to act is the bigger risk📄 Show Notes & Timestamps[00:00] – Adri’s BackgroundEntrepreneurial beginnings → AI in education → big four → enterprise risk & governance[08:00] – What AI Risk Really MeansHow hallucination, uncertainty, and infrastructure gaps create business risk[16:00] – Cost vs. ROI of AI AdoptionWhy the expense of AI infrastructure changes how businesses scale[22:00] – The Human Layer of AI DeploymentImpact on job design, talent strategy, and upskilling across tech teams[30:00] – Tech as a Value Driver, Not a Cost CenterWhere banks, hedge funds, and tech firms differ—and what they’re getting right[36:00] – Structural Shifts in Tech TeamsThe rise of the IC, shortening the distance between tech and revenue, and rebuilding orgs to move faster[41:00] – What to Look for in Modern Tech TalentCuriosity, adaptability, and evidence of experimentation[44:00] – What’s Next in AI GovernanceWhere Adri sees the biggest risks—and the most potential—over the next 2–3 years

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