Dataiku

AI doesn’t fail loudly, it drifts quietly. Models that pretend to be aligned when they’re being watched. Automations that keep running long after they’re “dead.” Systems that learn from their own distortions until reality collapses. Welcome to the AI Twilight Zone, where scheming models, zombie automations, and warped data reveal what happens when control and visibility fade. In this Halloween special, explore the eerie side of AI autonomy and how Dataiku restores transparency, governance, and trust before systems go off-script. | https://lnkd.in/eR-8z_4y | #AIAgents #EnterpriseAI #Halloween

In manufacturing, timing is everything, and volatility can make or break production. By combining technology with process, Joe Delpercio’s team is showing what AI can do, not just talking about it. Using Dataiku, they blend data from ERP systems, flat files, and other sources into one holistic flow to model lead time volatility across the next 90 days. With recipes, flows, and connections to other models and enterprise systems, Dataiku helps teams visualize predictability and make complexity simple for every user. #Manufacturing #SupplyChain

Most teams are deep into agent experimentation, but still figuring out what actually drives value in production. At Dataiku’s AI Agent Builders meetups, you’ll design your own AI agent workflows using real data, from financial documents to supply chain pipelines, and leave with working examples of how to build agents that drive real business impact. Register in a city near you: NYC | Nov. 6 | https://lnkd.in/eeAmGieU Berlin | Nov. 6 | https://lnkd.in/e6gykkFu Munich | Nov. 13 | https://lnkd.in/ewJfaZ9s San Francisco | Nov 18 | https://lnkd.in/enxzZvyZ #DataikuMeetup #AIAgents

Novo Nordisk is proving AI can (and should) be fast, responsible, and reusable across the business. Director of Data Science Yan Hu and her team move quickly by connecting data from Snowflake and S3, using AutoML and visual tools, and bringing data scientists, engineers, and analysts together in one shared space. That approach powers their Clinical Profile Identification project. Using machine learning, the team helps identify patients with rare diseases earlier, improving diagnosis and care. With governance built in from the start, every model remains transparent and compliant, proving that AI can be both powerful and responsible. Read the full story: https://lnkd.in/e7AarrG3 #AutoML #AIinHealthcare

AI for the Future of Work: How MOHRE Is Driving National Impact We’re honored to welcome Mr. Omran Alshamsi, Chief of AI and Director of Labour Market Information Department at Ministry of Human Resources and Emiratisation (MOHRE), to the Dataiku Summit Dubai 2025. Mr. Omran will share how MOHRE is leveraging AI to shape the future of work, empower national talent, and deliver measurable impact across the UAE’s labour market. 📅 November 13, 2025 📍 Armani Hotel, Burj Khalifa Join Mr. Omran and other leaders transforming AI strategy into real outcomes. 👉 Register here: https://bit.ly/4hkj08w #DataikuSummitDubai#AI #MOHRE

When it comes to AI, CEOs and data leaders don’t always see eye to eye. Dataiku’s Global AI Confessions reports reveal the truth about how both groups view competition, risk, and trust in AI, and the contrasts might surprise you. From job security fears to shadow AI realities, this snapshot shows how AI looks from the boardroom vs. the front lines. Swipe through below to see how their confessions compare and get the full Data Leaders report here: | https://lnkd.in/eb2i_bjg | #AIConfessions #DataLeaders

MIT said 95% of GenAI pilots fail. Not because the AI isn’t smart, but because it can’t adapt. The 5% that succeed build learning-capable systems with modular agents, clear KPIs, and continuous governance. That’s what Dataiku’s unified AI Ops makes possible. More here: | https://lnkd.in/eqB4xrQu | #GenAI #MIT #Dataiku

Dataiku + Snowflake at Build. Don’t miss out! One app. Many agents. All in Dataiku. Join us at Snowflake Build to learn how to create a chatbot that connects Cortex Agents, LLMs, and traditional models into one cohesive workflow, built for speed, scale, and clarity. Tune in on Wednesday November 5, 1PM PT/4PM ET for our session “Build a Cross-Platform Agentic App with Dataiku.” Register now: https://lnkd.in/eH2hqtTR #SnowflakeBUILD #AIAgents

Excited to announce Dataiku’s newest board member: Alexandre Dayon. During his 15+ year tenure at Salesforce spanning roles as Chief Product Officer to President, Alex helped drive 20x revenue growth, launch multiple category-defining products, and scale the company into one of the most widely adopted enterprise platforms. His experience guiding global organizations through transformation will be invaluable as Dataiku continues empowering companies to move from AI experimentation to real, scalable impact. Welcome, Alexandre! Learn more about the appointment: https://lnkd.in/eXS5WvTt #EnterpriseAI #AILeadership

Most AI Centers of Excellence (CoE) launch with momentum, but sustaining them is the real challenge. Once the excitement fades, teams often face unclear ownership, uneven engagement, and a growing gap between governance and user needs. Our new infographic, “3 Steps to a High-Impact AI CoE,” breaks down what successful teams do differently: Build trust so users become advocates, design structure so the safe path is also the easiest, and keep engagement alive through reuse and recognition. Because real impact isn’t measured at launch, it’s earned over time. Read the full infographic: https://lnkd.in/esDV4bjb