All Research Sponsored By:Dataiku
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Accelerate Generative AI Applications With Platform Capabilities
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.
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Why You Need an AI Platform to Scale Generative AI
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.
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A Global Look at Emerging Regulatory Frameworks for AI Governance
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.
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3 Keys to a Modern Data Architecture Strategy Fit for Scaling AI
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.
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The Total Economic Impact™ Of Dataiku
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.
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Introducing MLOps
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.
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A Framework for Choosing the Right Use Cases
How do you know if you AI project is a success? Learn how to define and measure AI success.
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The State of the Market
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.