Description

In this episode of the AI Monetisation Podcast, Anurag Bhagat, Senior Generative AI Strategist at the Generative AI Innovation Center, Amazon Web Services (AWS), joins Binny Mathews, Co-founder of ProjectPro, to share how enterprises can identify and scale high-ROI AI projects with confidence.

What's Inside?

1. Why executive demand for GenAI is unprecedented—and what it means for enterprises
2. A practical framework for prioritizing AI use cases across industries
3. High-ROI use cases like intelligent document processing (IDP) and GenAI-powered contact centers
4. Building internal roadmaps vs. point solutions: The key to sustainable ROI
5. Why data quality, metadata, and risk guardrails still matter in the GenAI era
6. What great data scientists do differently: Bridging business understanding with technical depth

Key Takeaways:

1. Prioritize low-hanging fruit early to build momentum and buy-in
2. True ROI comes from a portfolio of use cases, not isolated pilots
3. Enterprise GenAI adoption must account for workflow fit, latency, accuracy, and cost
4. Expertise remains critical—AI augments, not replaces, human judgment
5. Build agile pipelines to swap in better models as the space rapidly evolves

This episode is essential listening for business and tech leaders aiming to unlock meaningful value from GenAI without falling for the hype!

For full show notes, visit- https://bit.ly/3YUPoXo

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/4lQ0k2j