From Automation To Agentic AI With Nextdoor CIO Shyam Bhojwani Enterprise AI Innovators podcast

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From Automation to Agentic AI with Nextdoor CIO Shyam Bhojwani

25d ago 39:38

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On the 51st episode of Enterprise AI Innovators, host Evan Reiser (Abnormal AI) talks with Shyam Bhojwani, Chief Information Officer at Nextdoor. With millions of users across the U.S., the U.K., and Canada, Nextdoor is one of the largest neighborhood-based platforms in the world, connecting communities with real-time information, local recommendations, and public safety alerts. In this conversation, Shyam shares his perspective on how AI is shifting automation from static workflows to dynamic, context-aware agents, why IT and cybersecurity are prime candidates for fast AI wins, and how culture, architecture, and data readiness all shape the long-term success of enterprise transformation.

Quick hits from Shyam:

On unlearning in the age of AI: “Every day with AI is a new learning but also a lot of unlearning. What we thought wasn’t possible yesterday is already possible today.”

On the evolution from automation to agentic orchestration: “Earlier, you would sort of create static processes, step A, step B, step C. Now with AI, it can go from step A to step C based on context. These AI agents aren’t just automating tasks, they’re orchestrating workflows with real-time intelligence.

On how to avoid AI chaos across teams: “There needs to be a centralized AI Ops team to connect the dots. Otherwise, every department ends up buying the same tool twice.”

Recent Book Recommendation: The New Automation Mindset by Vijay Tella

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Enterprise AI Innovators is a show where top technology executives share how AI is transforming the enterprise. Each episode covers the real-world applications of AI, from improving products and optimizing operations to redefining the customer experience.

Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/

Enterprise AI Innovators is produced by Josh Meer.

51 episodes

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