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  • Effiziente AI-Implementierung: Time-to-Value von AI-Projekten verkürzen

    Eine skalierbare und flexible KI-Plattform ist der Schlüssel, um die Time-to-Value von KI-Projekten zu verkürzen und gleichzeitig Governance und Sicherheit zu gewährleisten. Erfahren Sie in diesem Whitepaper, wie Sie Ihre KI-Implementierung effizienter gestalten können. Lesen Sie den Bericht, um mehr zu erfahren.

  • AI by the Numbers: Cracking the GenAI Code for Business Growth with Dataiku and Databricks

    This webcast shares insights from an annual survey from Dataiku and Databricks that builds on last year's insights and reveals how organizations are evolving their GenAI usage. From shifting budget priorities to discovering new use cases, the report provides a comprehensive view of the rapidly changing GenAI landscape. Tune in now to learn more.

  • Survey Report: AI, Today

    As GenAI becomes a cornerstone of modern business, 90% of leaders are making substantial investments to harness its potential. Of those, 33% have created new budget lines specifically for GenAI, while 57% are using money from other budgets, such as IT, data science, or analytics. Access this research content now to learn more.

  • A new wave: AI compliance

    Preparing for new AI regulations is crucial. This e-book explores 5 key pillars of AI regulatory readiness, including understanding requirements, leadership, responsibilities, governance, and technical foundations. Read on now to ensure your organization is ready for future regulations.

  • The LLM Mesh: A Practical Guide to Using Generative AI in the Enterprise

    This data, from a 2024 Dataiku and Cognizant survey of 200 senior analytics and IT leaders, highlights that GenAI is a top priority at the highest level — nearly three-quarters of respondents (73%) will spend over $500,000 on the tech in the next 12 months.

  • 5 Steps to Better Data Quality for Generative AI and Beyond

    Data quality is critical for successful Generative AI, but many organizations struggle with it. This white paper outlines 5 steps to improve data quality, including democratizing data quality efforts and embedding quality checks across operations. Read the full white paper to gain a competitive advantage through better data quality.

  • A CIO’s Guide to Modern Analytics

    This guide surveyed 200 senior analytics and IT leaders on GenAI, tech stack and tooling, data challenges, and more. Get the full report for the realities of "modern" analytics today to turn blockers into benefits.

  • 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.

  • Build Responsible Generative AI Applications: Introducing the RAFT Framework

    Yes, Generative AI (GenAI) presents myriad opportunities. But GenAI can also pose myriad risks, especially if an AI system is not responsibly designed, deployed and governed. In this 16-page e-book, discover what constitutes responsible GenAI and learn how to implement a responsible approach at your own organization.

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