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Why Do AI Projects Fail? Dataiku x NVIDIA Fireside Chat

Presented by

William Benton, Principal Product Architect, NVIDIA

About this talk

What exactly do we mean by “AI project failure?” It’s indeed a fine line, because data practitioners should never feel discouraged from exploring the unknown. In that vein, failure is a critical element of advanced development and good data science. In the industry, viewing “failure” as a fundamental flaw in doing data science could create the wrong expectations for practitioners. In this fireside chat featuring Will Benton, Principal Product Architect at NVIDIA, uncover how we can encourage this type of experimentation while also empowering practitioners (on both technical and business teams) with the tools needed to avoid AI project failure at large (i.e., sound and reliable data, AI Governance and MLOps, collaboration with IT).
Dataiku

Dataiku

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Everyday AI, Extraordinary People
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.
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