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ENTITY Dataiku

Dataiku

PulseAugur coverage of Dataiku — every cluster mentioning Dataiku across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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28 over 90d
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6 day(s) with sentiment data

RECENT · PAGE 1/2 · 28 TOTAL
  1. COMMENTARY · CL_340689 ·

    Dataiku executive: Enterprise AI success hinges on change management, not models

    Sophie Dionnet of Dataiku highlighted that the primary challenge for enterprise AI adoption is not the technology itself, but rather the difficulty in managing the organizational change required for implementation. She …

  2. TOOL · CL_332467 ·

    Agentic AI expands across industries, prompting innovation and regulatory focus · 10 sources tracked

    Agentic AI is seeing broad adoption and development across various sectors, from optimizing streaming operations with ViewLift to financial and healthcare applications by UAE's AIREV. The technology is also being explor…

  3. COMMENTARY · CL_321409 ·

    Dataiku executive: Enterprise AI success hinges on change management, not models

    Sophie Dionnet of Dataiku highlighted that the primary challenge for enterprise AI adoption is not the technology itself, but the lengthy and complex process of change management. She emphasized that the significant gap…

  4. COMMENTARY · CL_314869 ·

    AI Data Residency Solutions Emerge Amidst Global Regulatory Shifts

    As AI adoption grows, data residency and sovereignty are becoming critical concerns, particularly with evolving regulations in Europe and the Middle East. Cloud providers and data management platforms are responding wit…

  5. COMMENTARY · CL_306289 ·

    Dataiku executive: Enterprise AI success hinges on change management, not models

    Sophie Dionnet of Dataiku highlighted that the primary challenge for enterprise AI adoption is not the technology itself, but rather the extensive change management required. She emphasized the significant gap between m…

  6. COMMENTARY · CL_293974 ·

    Dataiku executive: Enterprise AI success hinges on change management, not models

    Sophie Dionnet of Dataiku highlighted that the primary challenge for enterprise AI adoption is not the technology itself, but rather the difficulty in managing organizational change. She emphasized that the significant …

  7. TOOL · CL_287826 ·

    AI Startup Govra Sells Tax Evasion Detection Tech to Agencies

    Govra is an AI startup that has developed AI agents designed to assist tax agencies in identifying tax evasion. The company's technology aims to streamline business tax audits, potentially making them more frequent. Gov…

  8. COMMENTARY · CL_278419 ·

    Dataiku executive: Enterprise AI success hinges on change management, not models

    Sophie Dionnet of Dataiku highlights that the primary challenge for enterprise AI adoption is not the technology itself, but the lengthy and complex process of change management. She emphasizes that while decision-makin…

  9. COMMENTARY · CL_256402 ·

    AI adoption challenge: Change management over new models

    Sophie Dionnet of Dataiku highlighted that the primary obstacle in enterprise AI adoption is not the technology itself, but the difficulty of change management. She noted that organizations often get caught up in the ex…

  10. COMMENTARY · CL_249760 ·

    Dataiku's Sophie Dionnet on AI value: People, orchestration, and governance are key

    Sophie Dionnet, from Dataiku, discussed the critical factors for successful enterprise AI implementation. She emphasized that people, effective orchestration, and governance that acts as an accelerator, rather than a hi…

  11. COMMENTARY · CL_237243 ·

    Dataiku executive outlines AI business value strategy: People, orchestration, governance

    Sophie Dionnet of Dataiku discussed how to translate AI into tangible business value, emphasizing that the key lies not solely in technology but in people, orchestration, and robust governance for scalability. She highl…

  12. COMMENTARY · CL_224879 ·

    Dataiku expert outlines 3 keys to AI value: people, orchestration, governance

    Sophie Dionnet of Dataiku discussed the essential components for deriving genuine value from AI in a recent podcast episode. She highlighted that successful AI implementation hinges on having the right people, effective…

  13. COMMENTARY · CL_223529 ·

    AI's 'gold rush' is about change, not just tech, says Dataiku expert

    The rapid advancement of AI models is often compared to a gold rush, but the true difficulty lies not in the technology itself, but in implementing the necessary organizational changes. Sophie Dionnet from Dataiku empha…

  14. SIGNIFICANT · CL_222233 ·

    Big Tech's AI Infrastructure Spending Reaches $3 Trillion, Lacking ROI Visibility

    Major technology companies are making substantial, often off-balance-sheet, financial commitments for AI infrastructure, totaling trillions of dollars. While these commitments secure future revenue for suppliers and ena…

  15. COMMENTARY · CL_217524 ·

    Dataiku expert outlines key AI success factors: people, orchestration, governance

    Sophie Dionnet of Dataiku discussed the essential components for transforming AI into practical value. She highlighted the importance of having skilled personnel, efficient operational workflows, and scalable governance…

  16. COMMENTARY · CL_215406 ·

    Dataiku exec: Enterprise AI adoption hindered by change management, not tech

    Sophie Dionnet of Dataiku suggests that the current enterprise AI enthusiasm, often termed a "gold rush," overlooks the practical challenges of implementation. She argues that the true difficulty lies not in the technol…

  17. COMMENTARY · CL_212479 ·

    AI's real challenge is adoption, not new models, says Dataiku exec

    The true challenges in artificial intelligence lie not in the development of new models, but in the practical implementation and adaptation of existing AI technologies within organizations. Sophie Dionnet of Dataiku emp…

  18. COMMENTARY · CL_202417 ·

    Enterprise AI success hinges on discipline, not just new models

    Sophie Dionnet of Dataiku emphasizes that organizations often do not need the absolute latest AI models to implement necessary changes. She suggests that the real challenge in enterprise AI lies in disciplined execution…

  19. COMMENTARY · CL_201707 ·

    Dataiku executive outlines AI value drivers: people, tech, governance

    Sophie Dionnet of Dataiku discussed the key components for successfully implementing AI within an organization. She emphasized that true value from AI is derived from a combination of skilled people, effective technolog…

  20. TOOL · CL_199163 ·

    Dataiku Platform Urged for Data Scientists Building AI/ML Pipelines

    Dataiku is highlighted as a potentially overlooked platform for data scientists involved in building AI/ML pipelines. The article suggests that the importance of selecting the correct platform for these tasks is often u…