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DataFramed

#208 Monetizing Data & AI with Vin Vashishta, Founder & AI Advisor at V Squared, & Tiffany Perkins-Munn, MD & Head of Data & Analytics at JPMC

May 20, 2024
Vin Vashishta and Tiffany Perkins-Munn delve into monetizing data and AI, emphasizing aligning initiatives with core business objectives, quick wins, and balancing short-term fixes with long-term vision. They discuss strategies for selling data sets, subscription services, and empowering employees at all levels, highlighting the importance of transparent AI models for trust and seamless integration into various fields.
01:01:16

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Quick takeaways

  • Monetizing data requires clear strategies, from selling data sets to subscription-based access, and leveraging consumer data for revenue.
  • Success in data initiatives stems from prioritizing business outcomes, fostering data-driven culture, addressing technical and strategic challenges comprehensively.

Deep dives

Re-framing the Approach to Data and AI Success

Success in data and AI initiatives relies on prioritizing business outcomes over technical complexity, as simple strategies can often deliver significant value efficiently. To achieve ROI and monetize data efforts, organizations must address technical, organizational, and strategic challenges comprehensively. This holistic approach involves tackling technical issues, fostering a data-driven culture, investing in talent, ensuring regulatory compliance, and developing clear monetization strategies.

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