Introduction to AI Storytelling Build trust throughout the AI project life cycle hero banner
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Introduction to AI Storytelling – Build trust throughout the AI project life-cycle

In today’s era of AI and machine-assisted analytics, accurately interpreting and effectively communicating findings is becoming a crucial skill to bridge the growing data literacy gap. To get the most value from AI projects to drive better outcomes, you need to help decision stakeholders understand the process and make sense of results.

Machine learning use cases, metrics, and charts can be difficult to comprehend and explain. Describing the AI problem to solve, machine learning models, and the relationships among variables are often subtle, surprising and complex. Successful analytical communicators don’t wait until the end of an AI project. Instead, they use the entire process to educate stakeholders.

This eBook will introduce you to the art of AI storytelling.

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Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

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Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

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Director of Advanced Analytics, MAPFRE ESPAÑA

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Craig Civil

Director of Data Science & AI, BSI