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Navigating the Future of AI in Regulated Industries

In this episode of the SaaS Playbook, Claire Parry interviews Nick King from Data Kinetic (www.datakinetic.com), exploring the intersection of AI, decision intelligence, and regulated industries. Nick shares his journey through major tech companies and how those experiences shaped his approach to decision-making in high-stakes environments. The conversation delves into the importance of data governance, the role of AI in enhancing KYC and AML processes, and the challenges established companies face in adopting advanced AI technologies. Nick emphasizes the need for organizations to focus on decision intelligence to improve outcomes and the potential for AI to disrupt traditional consulting models. Takeaways Data Kinetic focuses on decision intelligence in regulated industries. Nick King's background includes experience at Microsoft and Google. Decision intelligence helps organizations make informed decisions. AI can enhance decision-making processes in pharmaceuticals. Regulated industries provide a structured environment for decision-making. Data governance is crucial in high-stakes environments. Platform agnosticism allows flexibility for clients. AI can improve KYC and AML processes in finance. Identity verification is evolving with AI technologies. Established companies face challenges in adopting advanced AI. Chapters 00:00 Introduction to Data Kinetic and AI's Future 02:24 Nick King's Journey and Experience in Tech 08:52 Defining Decision Intelligence in Regulated Industries 19:09 High-Stakes Decision Making and Data Governance 29:27 Platform Agnosticism and Client Flexibility 35:07 The Human and Machine Arc in Fraud Detection 40:03 The Future of Identity Verification and Biometrics 43:52 Skepticism Towards AI in Established Companies 48:02 The Last 10%: From Concept to Production 53:05 Disrupting Traditional Consulting with Decision Intelligence 57:57 Exciting Applications of AI in Pharma and Legal Sectors