AI Monetisation
AI Monetisation
Podcast Description
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
Podcast Insights
Content Themes
The podcast covers a variety of themes centered around AI applications in business, including predictive analytics, customer experience, data governance, the impact of AI on industries like fintech and healthcare, and the challenges of implementing AI solutions. Specific episodes explore topics such as building customer 360-degree views using generative AI and the transformative potential of AI in agriculture.
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
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 Guest
Bo 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 stage
2. Governance, compliance, and cost frameworks for scaling AI
3. The importance of ROI as the ultimate filter for AI initiatives
4. Lessons from classical AI that still apply in the GenAI era
5. Productivity and customer-facing opportunities where AI delivers real business value
Key Takeaways
1. Deep expertise in data science, generative AI, and advanced analytics
2. Proven track record of applying AI to real business outcomes
3. Experience leading both corporate and entrepreneurial AI initiatives
4. Skilled in bridging technical innovation with business strategy
5. Strong foundation in engineering, finance, and strategic planning
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/42bOyHw
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