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Welcome to a new Making Data Simple series, Stories from the Field with Wennie Allen, IBM Data and AI. This series will focus on practical use cases of big data and A.I., enabling shared experiences and perspectives. You can expect these field highlights every fourth episode of Making Data Simple.

In this episode, Wennie talks to Brittany Bogle about her perspective as a professional data scientist. Informed by her experiences helping business clients adopt AI, Brittany shares real-life problems organizations face when implementing an AI and machine learning (ML) solution.

Listen for some delightful surprises and insights in dealing with big data and real-time requirements in fraud detection, prediction and prevention. Discover why AI/ML success is a team sport. Finally, are you looking to build or expand your data science team? Consider some criteria and guidelines that will improve your team’s effectiveness.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Stories from the Field: Ep.1 - Examining the Risk Business 36:38 Share

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Stories from the Field: Ep.1 - Examining the Risk Business