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In-House vs. Commercial AI Tools: Lessons from Globality's CTO | |
AI isn’t just about outputs anymore—it’s about intelligent systems that think, plan, and build trust at every level of the enterprise. In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor in Chief hosts Keith McFarlane, Chief Technology Officer at Globality, who offers a front-row look into how enterprise platforms are evolving in the era of AI-native transformation. Drawing from decades of experience scaling engineering orgs and launching complex systems at Oracle, LiveOps, and now Globality, Keith walks us through the frameworks powering the next generation of sourcing platforms. The conversation dives into Globality’s platform design principles, where Keith’s team is implementing agentic AI frameworks capable of making decisions, building plans, and executing them in context. He reveals why trust is harder to engineer than intelligence, and how designing purpose-built internal tools gave them speed, control, and adaptability no vendor could offer. Key themes in the episode: What agentic AI really means—and how to deploy it with control How to embed reasoning and context-awareness into enterprise workflows The biggest challenge in AI isn’t model performance—it’s trust Why CTOs must design for scalability, autonomy, and governance together Lessons from building Globality’s internal systems in record time Whether you’re leading tech at scale, launching AI initiatives, or rethinking procurement and platform architecture—this is your blueprint for building AI-first systems with real-world utility. We explore everything from enterprise adoption hurdles and infosec scrutiny to what engineers need to thrive in the age of autonomous systems. The conversation also explores his approach to in-house systems vs. third-party tools, how he balances solving today’s problems while building for the future, and what it takes to train teams to think “AI-first” across all functions. | |
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2025-06-11 (0.748 sec)