90% of CIOs say their career trajectory will be shaped by their success with AI. In this clip, Jed Dougherty (SVP of AI and Platform at Dataiku) outlines how that reality is redefining the CIO role, as expectations shift from experimentation to measurable outcomes. For more on the seven decisions you need to get right in 2026, read the full report: https://lnkd.in/e2skcDxr #CIODecisions
Om os
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate AI agents, analytics, and machine learning with the transparency, collaboration, and control enterprises require. For more than a decade, Dataiku has helped organizations turn data, analytics, and AI into measurable business value. As the market has evolved from analytics to machine learning to generative AI and agents, Dataiku has enabled customers to stay ahead—operationalizing new technologies while maintaining stability, governance, and trust. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack, enabling organizations to run AI across multi-vendor environments with centralized governance and oversight, at scale. Today, many of the world’s leading companies rely on Dataiku to deploy AI applications and agents in some of the most complex and highly regulated environments — turning AI into an enduring source of performance, competitive advantage, and long-term business value.
- Websted
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http://dataiku.com
Eksternt link til Dataiku
- Branche
- Softwareudvikling
- Virksomhedsstørrelse
- 1.001 – 5.000 medarbejdere
- Hovedkvarter
- New York, NY
- Type
- Privat
- Grundlagt
- 2013
- Specialer
- Enterprise AI, Agentic AI, Generative AI, AI Governance, Data Science, Machine Learning, GenAI, AutoML, Data Prep, Scalable AI, Responsible AI og Transparent AI
Produkter
Dataiku
Platforme til datavidenskab og maskinlæring
Dataiku is the Platform for AI Success. It sits above your data platforms, your clouds, and your AI services as the orchestration layer that connects all of them and depends on none. Most enterprises are stuck in the opposite reality. Agents multiplying across platforms with no central view. Models running across three clouds with no shared governance. Business teams building AI that IT has never seen. The technology works fine in isolation. Nothing works together. Dataiku fixes that. Your people build production AI with tools matched to their skills. Your data, models, LLMs, and agents operate as one governed system. Nothing ships without oversight, nothing runs without accountability. Equifax, J&J, LVMH, Michelin, Novartis, Prologis, Softbank, Standard Chartered, Toyota, and Unilever run Dataiku. Not because they lacked AI technology. Because they needed it to actually work.
Beliggenheder
Medarbejdere hos Dataiku
Opdateringer
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AI didn’t just scale. Accountability did. Across our 2025 (CEOs, data leaders) and 2026 (CIOs) market research, one pattern stands out when it comes to AI accountability: - CEOs fear it. - Data leaders feel it. - CIOs are measured by it. What does this mean in practice? Pressure is rising, risk is personal, and control is lagging. See how it all connects in our latest survey of 600 enterprise CIOs: | https://lnkd.in/eyhkux6a | #CIODecisions
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We’re proud to be a launch partner with Databricks for Week of Agents, helping customers build, orchestrate, and govern enterprise AI agents. With new capabilities like Document Intelligence to unlock unstructured data, Genie Agent Mode for multi-step reasoning, and Custom Agents now generally available for production deployment, organizations can move faster from experimentation to real business impact. We’re excited to help customers operationalize agentic workflows—securely, at scale, and connected to their data. Read more here: https://lnkd.in/gZC-pjgn #AIagents
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Calling all Bay Area Dataiku partners! Join us in San Francisco on May 13 for Dataiku Partner Day: a day built for collaboration, fresh ideas, and momentum. What you’ll get: - Clearer go-to-market alignment with Dataiku, the Platform for AI Success - Insights into high-impact AI use cases customers are buying now - Ways to expand your services and differentiate in a crowded AI market - Direct access to the Dataiku team and local partner network This event is about turning partnership into measurable business results, not just conversation. 📍 San Francisco 🗓️ May 13 Secure your spot: https://lnkd.in/eBVS6XaU
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AI isn’t in a bubble, but plenty of AI strategies are. In our survey of 600 enterprise CIOs, 73% say their company would face major disruption if an AI bubble bursts. That points to a deployment problem, not a technology problem. Too many companies are still treating AI like a volume play: Buy the licenses, push them out, and hope value follows. In this clip, Jed Dougherty, SVP of AI and Platform at Dataiku, gets into what it takes to make AI stick. For more, read the full report: https://lnkd.in/e2skcDxr #CIODecisions
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💥 Dataiku + Databricks turn the Lakehouse into production-ready AI systems - you can see it live this year at Data + AI Summit! - Build with your data. - Orchestrate end-to-end systems. - Govern AI at scale. From visual workflows to AI agents powered by Databricks Genie and Vector Search, teams are moving from idea to production in record time. Join us at Data + AI Summit 2026 in San Francisco: https://lnkd.in/dgTb63-s
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Is fine-tuning actually driving business impact … or just improving benchmarks? Fine-tuning can improve LLM performance, but it’s not always the right approach and, on its own, it rarely delivers the reliability or cost efficiency needed for production-ready AI. Teams need a practical way to decide when it’s worth the effort and how to tie improvements to real business outcomes. Join our next Dataiku webinar to learn when fine-tuning truly matters, and how to combine evaluation, RAG guardrails, and governance to build trusted systems that deliver real AI success: | https://lnkd.in/eBk6U2T8 | #Finetuning #AI
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NYC Financial Services Leaders — Join Us May 6. How can regulated financial institutions successfully transition AI from the experimental phase into full-scale production? Join Dataiku & Matrix USA for an exclusive executive session focused on how FSI leaders are successfully scaling AI while driving real ROI. 🔹 Real-world use cases: credit risk, fraud, AML & more 🔹 Live demo of the Dataiku platform 🔹 Insights from industry experts 🔹 Curated networking with peers over drinks & hors d’oeuvres 📍 Dataiku HQ, NYC 🗓 May 6 | 5:00 PM Spots are limited—register here: https://luma.com/hexqsrwp #AI #FinancialServices #DataScience #MachineLearning #NYCEvents
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San Francisco delivered. #HumanX 2026 was two days well spent. → Florian Douetteau on the Builders Stage: What trust actually requires in agentic AI is a combination of governance, actionable data, and humans in the loop by design. → NYSE interview with Ashley Mastronardi discussing Dataiku's brand refresh, the Platform for AI Success, and three new offerings coming to market in 2026. → Podcasts, press, customer meetings, and a VIP speaker dinner to close it out. One thing we saw throughout the conference: AI is moving from innovation to accountability, and CEOs are now on the hook for delivering real results. In our upcoming “Global AI confessions report: CEO edition 2026,” 900 CEOs share where they feel the risk, what they’re prioritizing, and what could make or break AI at the highest level of the enterprise. If you want to understand where AI leadership is really headed next, sign up to get the report first: https://bit.ly/486yda5 #HumanX #Dataiku #GlobalAIConfessions
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In 2026, the question in healthcare and life sciences isn’t if AI works, but whether it scales under real-world constraints — and stands up to audit. Leaders will pull ahead by embedding AI across clinical, R&D, and operations. This blog explores three trends for organizations on the path to transforming health innovation: - Accelerate clinical development via AI-generated digital twins - Harness agentic AI to automate workflows, frees capacity, and ensures regulatory compliance - Turn R&D data into actionable insights and speed target identification with multimodal knowledge-to-target discovery platforms Read the full blog to see how HCLS leaders can operationalize AI success at scale: | https://lnkd.in/eDZjDYSq | #Healthcare #LifeSciences
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