The AI in Business Podcast Why System Integrators Are Key to AI Success - with Pallab Deb of Google
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Aug 27, 2025 Pallab Deb, Managing Director in SI & Industry GTM Partnerships at Google, dives into the evolution of AI infrastructure from basic systems to a holistic platform for enterprise transformation. He highlights the importance of network performance, data governance, and integration in today's AI stack. Pallab discusses the crucial shift from proof-of-concept to proof-of-value, emphasizing that production readiness and security are now essential from the start. He also explores how businesses can effectively navigate AI integration and leverage it as a strategic asset.
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Network And Agent Layer Are Core
- AI infrastructure now includes compute, storage, and critical network performance to enable human-like response times.
- The agent/ conversational layer amplifies infrastructure by delivering real-time multilingual experiences.
Models And Data Are Part Of Infra
- AI infrastructure must include data governance, access controls, and lineage so model outputs can be trusted and reconstructed.
- Treating models themselves as infrastructure lets enterprises orchestrate multiple models safely for different tasks.
Begin With Production-Ready Proofs
- Start projects as production-ready proof-of-value rather than throwaway POCs with governance built in from day one.
- Design ACLs, grounding, and explainability up front so deployments can scale securely.