23 min

Using External Data responsibly in AI with Mark Hookey, CEO of Demyst The Trustworthy AI Podcast

    • Business

In Episode #4, we discuss the importance of high quality external data in enabling greater AI innovation and adoption. We explore how data management best practices around consent, vendor due diligence and data quality monitoring can help build trust in such data. And how, when used appropriately, more external data can help make AI models fairer and more reliable. Finally, we get Mark’s take on why the financial services industry remains one of the best places for anyone interested in data and AI. 

About the speaker:Mark Hookey is the CEO of Demyst, an external DataOps platform that provides accelerated deployment of external data solutions for the world’s leading banks, insurers and fintechs. Demyst’s platform eliminates the friction associated with data procurement, testing, and deployment to unlock innovation and drive business growth. 
See omnystudio.com/listener for privacy information.

In Episode #4, we discuss the importance of high quality external data in enabling greater AI innovation and adoption. We explore how data management best practices around consent, vendor due diligence and data quality monitoring can help build trust in such data. And how, when used appropriately, more external data can help make AI models fairer and more reliable. Finally, we get Mark’s take on why the financial services industry remains one of the best places for anyone interested in data and AI. 

About the speaker:Mark Hookey is the CEO of Demyst, an external DataOps platform that provides accelerated deployment of external data solutions for the world’s leading banks, insurers and fintechs. Demyst’s platform eliminates the friction associated with data procurement, testing, and deployment to unlock innovation and drive business growth. 
See omnystudio.com/listener for privacy information.

23 min

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