Last month, hundreds of data and AI leaders and business executives gathered in New York City for Everyday AI New York, Dataiku’s flagship event designed to bring clarity and momentum to the complex and fast-evolving world of enterprise AI, particularly with the rise of agentic AI. With the theme “From Chaos to Control,” the day delivered an urgent message: AI success in 2025 and beyond demands more than curiosity — it requires structure, accountability, and shared vision.
Whether you missed the event or want to relive the energy, here are some of our favorite moments from Everyday AI New York 2025.
1. Agentic AI Announcements: From Vision to Reality
Among the most anticipated sessions were those unveiling Dataiku’s product evolution to support agentic AI. Dataiku shared its vision for the future of AI agents in the enterprise — AI-powered systems that automate business processes with a defined degree of autonomy.
Dataiku co-founder and CEO Florian Douetteau set the stage with the three key problems that emerge when an organization decides they want to use AI agents: fragile connections to systems emerge, it’s impossible to diagnose failures, and there’s a big lack of accountability. With AI agents in Dataiku, teams can scale AI agents and stay in control. Enterprise orchestration enables agents to connect to all existing data, analytics, and models. Agents can then be continuously monitored, optimized, and governed.
To make that all a reality, key product announcements from Clément Stenac, Dataiku co-founder and CTO, included:
- Universal Agent Creation, with both visual interfaces for business users and code-based tools for developers.
- Agent Tools that support extensibility and integrations with apps like Jira, Salesforce, ServiceNow, Model Context Protocol (MCP), and more.
- Guard Services to monitor quality, safety, and cost efficiency for AI agent components.
- Trace Explorer, a debugging and auditing feature that gives full transparency into agent decision-making.
- GenAI Governance, allowing organizations to register and monitor agents enterprise-wide.
These updates make Dataiku a first-mover in offering a governed, scalable, and extensible platform for building AI agents, transforming what was once a theoretical concept into something tangible, safe, and enterprise-ready.
As a fun aside, throughout the keynote, we even had music created using generative AI, made by Dataiku’s own Field CDO and Everyday AI DJ, Catalina Herrera! Catalina collaborated with GenAI tools to craft a soundtrack that reflects what it means to be a human empowered by technology. She used ChatGPT to shape the rhythms and write intentional lyrics, which she then turned into music using SUNO. What started as chaos became a powerful, purposeful set — showcasing how GenAI can unlock creativity and transform ideas into an immersive experience. You can check out the playlist here!
2. The Diversity of Customer Voices & Industries on Stage
With over 30 Dataiku customers sharing real-world stories, attendees heard from leaders in finance, healthcare, manufacturing, biotech, logistics, and more. Notable stories included:
- Prologis: Built an AI agent using Dataiku to automate parts of its legal workflow by integrating DocuSign and a Snowflake-based contract database.
- Solidigm: Created a helpdesk agent integrated with ServiceNow to resolve IT Level 1 tickets autonomously.
- Moderna: Embedding AI ownership across business units to support rapid innovation, workflow reinvention, and a new AI-driven operating model.
- Eaton: Prototyped a GenAI contract analysis tool in two days with 94% accuracy, processing 30,000+ legacy contracts.
- FINRA: Using a Center of Excellence to upskill employees in AI agent development with Dataiku.
The diversity of these use cases demonstrated that agentic AI is not a future ambition — it’s already here and transforming workflows today.
Speaking of highlighted speakers! We were also so proud to have Harvard Law School’s Professor Jonathan Zittrain kick off the day with a presentation “Keeping Buoyant in the AI Ocean.” In the highly engaging and humorous talk, Professor Zittrain shared some of the basics of how machine learning actually works, along with its extraordinary emergent abilities and persistent eccentricities and missteps. He offered some thoughts on how organizations and the people within them can best thrive amidst the tumult of its applications. The takeaway? It’s not always about chasing the shiny new tech. It’s about knowing what you already have, understanding its risk, and focusing on tangible outcomes.
Everyday AI had great success stories and thought starters from the industry and academia. Food for thought? The best agentic use cases start with strong process and knowledge mapping.
-Arun Nandi, Chief Data & AI Officer, Carrier
3. Exec Connect Set the Strategic Tone
Back for its second year was Exec Connect, where senior executives from across industries came together to explore strategic questions around AI transformation and, notably, experimenting with and scaling AI agents. With attendance from top industry leaders, mainstage speakers, and Dataiku executives, the event fostered interactive peer-to-peer learning and sharing, with conversations built exclusively for the C-suite.
From a Q&A session with Professor Zittrain and Dataiku co-founder and CEO Florian Douetteau to a customer panel featuring leaders from FINRA, Perdue Farms, and FLOA to executive breakout discussions, the event covered the hottest takes in AI today.
4. Architecting an AI Agent-Driven Future: Breakout Sessions, Lightning Talks, & Demos
A core track of the event focused on what it takes to build a future-proof tech stack — one that can seamlessly integrate GenAI, structured analytics, and business applications. Key insights from this track, which featured speakers from Bread Financial, Cox Automotive, Thermo Fisher, Eaton, Sage Therapeutics, Moderna, and Nationwide include:
- Simplicity doesn’t scale: While building a single AI agent can be straightforward, managing a growing fleet introduces deep complexity — from fragile systems integrations to non-deterministic behavior that’s hard to debug.
- Orchestration is essential: Enterprises need a framework where agents can interact robustly with applications, models, and governance tools.
- Optimization is continuous: Monitoring and improving agent performance isn’t a one-time task — it’s an ongoing requirement.
- Accountability must be built in: Organizations need clear lines of responsibility for agent behavior, ensuring risks are managed and outcomes are aligned with business goals.
This track made it clear: You can’t bolt AI (including AI agents) onto yesterday’s infrastructure. Companies must rethink architecture to support AI's dynamic, real-time nature.
The audience engagement was phenomenal — post-session conversations and even a few ‘aha!” moments reminded me why this work matters. Huge thanks to Dataiku for hosting such a forward-thinking event and to everyone who joined us.
-Raja Lanka, Executive Director of Data, Analytics, AI/ML, Morgan Stanley
In the other breakout track, “Lead Through AI Transformation,” attendees gained actionable strategies to cut through AI chaos, mitigate risk, and maximize ROI. We heard from Bepensa, Novartis, ExxonMobil, Zeus, and Merk in this track, as well as:
- Takeda: Their automation of data privacy workflows and using GenAI to structure clinical protocol data saved 40,000+ hours a year for patients and unlocked ~$8 million in potential cost savings.
- Morgan Stanley: See how they are empowering business users to safely build and deploy AI-powered solutions using Dataiku.
- SAIC: Discover two real-world government AI use cases (automated workforce planning and augmenting signals intelligence) and how the key lessons learned can be applied across industries.
Next, with Lightning Talks and live demos, attendees got to access:
- Compelling customer stories like One Acre Fund and Memorial Hermann Health Systems
- Talks from partners including AWS, Deloitte, NVIDIA, Snowflake, and Aimpoint Digital
- Live demonstrations such as AgentOps and building business-effective AI agents with Dataiku, the Dataiku LLM Mesh, operationalizing data quality for agentic AI, and more
We used Dataiku for our first GenAI use case. It made us lightning fast in exploring the data, annotation, and presenting our PCO to convince the business leaders. At Everyday AI, Dataiku gave us the opportunity to present this big value project.
-Abhishek Sinha, Senior Director, Head of AI, Sage Therapeutics
Bringing Control to AI Chaos
With executive insights, cutting-edge product announcements, and real-world customer stories, attendees walked away with both the vision and the roadmap for turning AI into operational reality. Whether you're just starting out or looking to scale existing AI initiatives, one thing is clear: The era of agentic AI has arrived — and Dataiku is leading the charge.
We would be remiss if we didn’t thank our customers and all of our attendees at Everyday AI New York, our partners who sponsored the event, analysts who attended to learn more about Dataiku, Customer Advisory Board members, and Dataiku leadership. Be sure to check out the on-demand recordings below and see you next year!