Why Do AI Projects Fail? Dataiku x NVIDIA Fireside Chat

Logo
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).
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (265)
Subscribers (55708)
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.