
Me, Myself, and AI Monetizing Data With AI: MIT CISR's Barb Wixom
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Feb 18, 2025 Barbara Wixom, a principal research scientist at MIT’s CISR, dives into the crucial topic of data monetization and its synergy with AI. She emphasizes that successful AI requires strategic alignment with business goals, smart data governance, and ethical practices. Wixom shares insightful case studies that illustrate best practices and common pitfalls in AI implementation. The discussion also touches on the balance between financial gains and broader societal benefits, urging companies to navigate the complexities of data analytics thoughtfully.
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Data Monetization and AI
- Data monetization is about converting organizational data into financial value.
- AI helps in this conversion, turning data into assets and enabling action.
Strategic AI Investments
- Focus AI investments on changing work, products, or creating new revenue streams.
- Some AI projects can have non-financial goals, like attracting talent.
BBVA's Talent Play
- BBVA used AI for social good projects, even though they didn't directly make money.
- This strategy helped attract talent who were interested in ethical AI work.


