How to Build Enterprise Knowledge Search Systems with AI- Vijay Morampudi, AI Thought Leader & AI100 2024 Honoree

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AI Monetisation

ProjectPro

78 episodes

5 days ago

The AI Monetisation Podcast, hosted by CEO and Co-founder Binny Mathews, brings together leading AI practitioners to share their strategies for leveraging AI to drive tangible business outcomes. Discover real-world insights, innovative approaches, and transformative success stories from industry leaders harnessing AI's power to create measurable impact in their enterprises. Access the full show notes for this episode, including referenced articles, resources, and people mentioned: https://bit.ly/4fmRSn0

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How to Build Enterprise Knowledge Search Systems with AI- Vijay Morampudi, AI Thought Leader & AI100 2024 Honoree

AI Monetisation

38 minutes 10 seconds

1 month ago

How to Build Enterprise Knowledge Search Systems with AI- Vijay Morampudi, AI Thought Leader & AI100 2024 Honoree

In this episode of the AI Monetisation Podcast, Co-founder Binny Mathews and guest Vijay Morampudi, Senior Vice President and AI CoE Leader at Marsh McLennan, explore how enterprises can successfully design and deploy AI-powered knowledge search systems.

About the Guest:

Vijay Morampudi is a recognized AI100 2024 Honoree and a seasoned leader at the intersection of enterprise AI strategy, product innovation, and developer experience. With prior experience in startups and industries ranging from healthcare and agriculture to pharma and customer experience, Vijay has led award-winning AI initiatives that deliver measurable business impact.

What’s Inside?

1. Why knowledge search is becoming a top enterprise AI use case

2. Build vs. buy: key considerations when implementing AI-powered knowledge systems

3. The role of change management in enterprise AI rollouts

4.How developer experience is being reshaped by AI tools like GitHub Copilot & ChatGPT

5. Real-world lessons from AI deployments in healthcare, agriculture, and financial services

6. The rise of small language models (SLMs) and their enterprise advantages

Key Takeaways:

1. Effective AI search requires domain-specific models, curated data, and strong feedback loops.

2. Change management, not technology, is often the biggest barrier to enterprise AI adoption.

3. AI accelerates developer productivity, but human oversight is critical for quality, compliance, and security.

4. Small, fine-tuned models can often outperform larger LLMs in cost, latency, and domain accuracy.

This is a must-watch for anyone building or deploying AI in finance, especially if you're focused on measurable ROI, risk mitigation, and scaling innovation responsibly.

For full show notes, visit- https://bit.ly/4mjcMXp

ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/46d2NOI

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