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Why Do AI Projects Fail? Dataiku x NVIDIA Fireside Chat

This webinar, featuring Will Benton from NVIDIA, highlights some of the key technical and organizational reasons behind AI project failure (and solutions to avoid them).

Finexkap: From Raw Data to Production, 7x Faster

Finexkap’s data team packs a big punch, leveraging Dataiku to build data projects (using both integrated notebooks and visual recipes), automate processes, and push to production 7x faster.

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Convex Insurance: Increasing Collaboration With Dataiku

By utilizing the capabilities of Dataiku and combining the diverse skills and expertise of individuals across technical and business solution-oriented teams, Convex Insurance has been able to move beyond spreadsheets and capture more value from their data.

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MandM Direct: Managing Models at Scale with Dataiku + GCP

See how the data science team at MandM Direct operationalizes 10x more models versus a code-only approach.

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Standard Chartered Bank: Driving Business Outcomes With Data

Across all areas of the bank, Standard Chartered is accelerating the development of AI solutions, creating a culture of decision making driven by analytics and unlocking the value of data to power better business outcomes.

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Standard Chartered Bank: Driving Business Outcomes With Data

Across all areas of the bank, Standard Chartered is accelerating the development of AI solutions, creating a culture of decision making driven by analytics and unlocking the value of data to power better business outcomes.

Read more