How to Identify High-ROI AI Projects for Your Enterprise

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?Why executive demand for GenAI is unprecedented—and what it means for enterprisesA practical framework for prioritizing AI use cases across industriesHigh-ROI use cases like intelligent document processing (IDP) and GenAI-powered contact centersBuilding internal roadmaps vs. point solutions: The key to sustainable ROIWhy data quality, metadata, and risk guardrails still matter in the GenAI eraWhat great data scientists do differently: Bridging business understanding with technical depthKey Takeaways:Prioritize low-hanging fruit early to build momentum and buy-inTrue ROI comes from a portfolio of use cases, not isolated pilotsEnterprise GenAI adoption must account for workflow fit, latency, accuracy, and costExpertise remains critical—AI augments, not replaces, human judgmentBuild agile pipelines to swap in better models as the space rapidly evolvesThis 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/3YUPoXoProjectPro 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

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