Why Most AI Projects Fail to Move Beyond POCs and How to Fix It with Bo Gu, Director of Data Science & Generative AI at AT&T

In this episode of the AI Monetisation Podcast, Co-founder, Binny interacts with Bo Gu, Director of Data Science, Chief Data Office at AT&T, to explore why so many AI projects never make it past the proof-of-concept stage and how enterprises can fix it.About the GuestBo Gu leads data science and generative AI initiatives at AT&T. With a career spanning data science leadership roles at Pepsi, HMS, and Caesars Entertainment, plus entrepreneurial experience building pricing software for the hotel industry, Bo brings decades of hands-on expertise in analytics, machine learning, and enterprise AI transformation.What’s Inside?1. Why 90% of AI projects stall at the POC stage2. Governance, compliance, and cost frameworks for scaling AI3. The importance of ROI as the ultimate filter for AI initiatives4. Lessons from classical AI that still apply in the GenAI era5. Productivity and customer-facing opportunities where AI delivers real business valueKey Takeaways1. Deep expertise in data science, generative AI, and advanced analytics2. Proven track record of applying AI to real business outcomes3. Experience leading both corporate and entrepreneurial AI initiatives4. Skilled in bridging technical innovation with business strategy5. Strong foundation in engineering, finance, and strategic planningThis 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/42bOyHwProjectPro 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/3IHz7jK

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