FORRESTER RESEARCH REPORT: It’s known that organizations are ready to roll out Generative AI (83% of AI leaders are already exploring or experimenting with it), but how can they navigate challenges around infrastructure, architecture, and governance? What’s the path of least resistance to reducing implementation hurdles? Find out in this full Forrester study.

Posted: 02 May 2024 | Published: 02 May 2024

EBOOK: This short flipbook highlights the four main pathways to scaling Generative AI, with pros and pitfalls of each. Plus, get Dataiku’s recommendation for the most logical approach to ensure a future-proofed Generative AI strategy.

Posted: 02 May 2024 | Published: 02 May 2024

EBOOK: AI at scale is the end goal for many organizations. However, the uncertainty of future regulation and potential for risk - especially when it comes to Generative AI - presents challenges. This e-book unpacks how you can scale AI with ease by implementing AI governance best practices that will withstand the test of new regulations.

Posted: 01 May 2024 | Published: 01 May 2024

FORRESTER TOTAL ECONOMIC IMPACT REPORT: Customer interviews and financial analysis found that a composite organization experienced benefits of $23.5 million over three years and an ROI of 413% with Dataiku. Plus, 80% time savings on manual processes, reduced costs, and improved decision making on key business activities. Get a copy of the full study to learn more.

Posted: 26 Apr 2024 | Published: 27 Apr 2024

EBOOK: Ultimately, the modern data stack is about providing a seamless experience for all users, no matter what their data needs are. Get 3 key recommendations that will help you determine and build the data architecture that’s right for your teams.

Posted: 26 Apr 2024 | Published: 27 Apr 2024

EBOOK: Traditional machine learning operations were fairly simple and easy to manage; but as ML grows in complexity and scope, the old way of doing things is no longer feasible. ML projects are often started in response to C-suite goals and involve employees across the length of an organization. Check out this eBook to learn more about MLOps.

Posted: 15 Jun 2020 | Published: 19 May 2020

EGUIDE: How do you know if you AI project is a success? Learn how to define and measure AI success.

Posted: 27 Feb 2020 | Published: 27 Feb 2020

RESOURCE: Organizations looking to incoroproate machine learning and AI into their large-scale analytics need a certain kind of infrastructure. Learn what enterprise AI platforms bring to the table and how to evaluate them.

Posted: 27 Feb 2020 | Published: 27 Feb 2020