Dataiku launches AI Blueprint to help manufacturers modernize factory operations with NVIDIA AI. New Manufacturing AI Blueprint delivers an intelligent Maintenance Scheduling Assistant designed to reduce disruption, improve coordination, and bring governed AI to the factory floor. NEW YORK - June 25, 2026 - Amid evolving labor shortages and supply chain dynamics, manufacturers are focused on delivering more uptime with fewer resources - while many of the systems guiding critical maintenance decisions remain largely manual and fragmented. Dataiku, The Platform for AI Success, today announced a new Manufacturing AI Blueprint, Maintenance Scheduling Assistant, built with NVIDIA AI to help industrial organizations modernize how maintenance decisions are made. Designed for global manufacturers, the blueprint combines Dataiku's governed AI platform with NVIDIA AI infrastructure and leverages the recently released NVIDIA Nemotron 3 Super open model to give maintenance leaders a smarter, more coordinated way to plan by delivering high accuracy in reasoning and instruction-following for complex agentic tasks. By harnessing NVIDIA's high-performance (NVFP4) precision format, this architecture delivers up to 5x higher output than previous generations, allowing manufacturers to process large volumes of operational data faster and generate maintenance recommendations without sacrificing real-time performance. Built for real-world industrial environments, the Dataiku Manufacturing AI Blueprint is validated on NVIDIA RTX PRO 6000 Blackwell Server Edition and NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, delivering the performance and efficiency required to run advanced AI workloads reliably at scale. "Manufacturing is entering a phase where operational resilience is becoming a competitive advantage," said David Tharp, SVP of Partnerships at Dataiku. "The question isn't whether AI can predict failures - it's whether organizations can operationalize that intelligence in a way that's trusted, scalable, and embedded into daily decision-making. This blueprint, powered by NVIDIA, helps manufacturers move beyond isolated automation toward AI systems that can reason through complex operational trade-offs and support better decisions in everyday operations, laying the foundation for a new class of AI reasoning systems." Through a natural language interface, maintenance managers can request optimized maintenance schedules based on current plant conditions and business priorities. The system evaluates operational signals and production constraints in real time, recommending clear, prioritized maintenance plans that adapt as conditions on the factory floor shift. Instead of relying on spreadsheets, siloed systems, and reactive workflows, factories can now use an intelligent assistant that dynamically balances equipment health, production schedules, and workforce availability - adapting to changing conditions rather than relying on static rules or manual coordination. The result: fewer unplanned disruptions, faster planning cycles, and stronger alignment between maintenance and production teams, all within an enterprise AI environment built for oversight and control. By pairing NVIDIA's high-performance AI infrastructure and AI software with Dataiku's centralized governance, manufacturers can deploy advanced predictive capabilities without sacrificing transparency or operational discipline. This approach reflects a broader shift toward AI-driven reasoning systems, where decisions are not just automated but informed by data, models, and business context to support more consistent and coordinated operations. By bringing together data, models, and human expertise, manufacturers can coordinate decisions across maintenance, production, and resource planning - embedding institutional knowledge directly into workflows with transparency and control. Dataiku call this the Dataiku Reasoning System for Manufacturing Operations, and it's available today. This new offering extends use cases like the Maintenance Scheduling Assistant Blueprint, allowing them to be integrated and managed at scale across production areas and even factories. "AI is improving uptime and scaling efficiency across complex manufacturing pipelines," said Jason Schroedl, Director, Product Marketing - Enterprise Platforms, NVIDIA. "Dataiku's integration of NVIDIA AI software, Nemotron open models, and RTX PRO Blackwell Server Edition GPUs provides manufacturers with performance and reliability for deploying intelligent maintenance systems at scale." Availability One of several solutions designed in collaboration between Dataiku and NVIDIA, the Manufacturing AI Blueprint is available to customers in environments running NVIDIA AI Enterprise software. To learn more, visit: https://www.dataiku.com/partners/nvidia/. About Dataiku 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 analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Dataiku has been named 2026 Product Partner of the Year, AI Platform, by Snowflake at Snowflake Summit 2026, marking the company's fifth consecutive win. The award recognises Dataiku's work helping hundreds of joint enterprise customers scale AI deployments from pilots to production. Dataiku's platform sits directly on Snowflake AI Data Cloud, enabling customers to build governed AI systems without moving data. The companies recently announced Cobuild on Snowflake, which uses natural language to create visual AI workflows that teams can inspect and approve before production. Dataiku also received the 2026 APJ Snowflake Product Innovation Partner of the Year award, adding to its EMEA Data Cloud Product Partner of the Year recognition. The company has raised $295 million to date.

Dataiku appoints Maxwell Long as president and chief revenue officer to scale enterprise AI adoption. June 1, 2026 Maxwell Long Dataiku has named software industry veteran Maxwell Long as president and chief revenue officer, bringing in an experienced enterprise technology executive to lead global sales, customer success and partnerships as the company expands its AI platform business. Long will report directly to co-founder and CEO Florian Douetteau and will oversee Dataiku's worldwide commercial organization, helping the company capitalize on growing demand from enterprises moving beyond AI experimentation and into production-scale deployments. The appointment comes as Dataiku continues to accelerate growth. The company surpassed $350 million in annual recurring revenue last year and now serves more than 750 organizations globally, including major enterprises such as Novartis, Johnson & Johnson, Unilever, Michelin, Equifax and BMO. Operationally, the hire reflects a key shift occurring across the enterprise AI market. Organizations are increasingly focused less on testing AI tools and more on deploying governed, scalable AI systems that can be integrated into business operations, data infrastructure and decision-making workflows. "Max has done this before, built commercial organizations that turn a strong product into durable, scalable growth," said Douetteau. "At a moment when our customers are moving from AI experimentation to production, that's exactly the kind of leadership Dataiku needs." Long brings more than 30 years of experience leading large-scale technology sales organizations. Most recently, he served as president of go-to-market operations at Smartsheet, where he managed a global organization of more than 2,300 employees and helped grow the company from hundreds of millions of dollars in recurring revenue to more than $1 billion before its $8.4 billion acquisition by Blackstone and Vista. Prior to Smartsheet, he held senior leadership roles at NetApp, including chief commercial officer and senior vice president of North America. There, he helped drive the company's transition toward cloud-based and data-centric software offerings while overseeing more than $3 billion in annual sales. For Dataiku, Long's experience scaling enterprise software businesses is particularly relevant as AI adoption moves into operational environments that require governance, compliance, security and measurable business outcomes. The company positions its Platform for AI Success as an orchestration layer that sits above enterprise data platforms, cloud infrastructure and AI services. Rather than focusing on individual AI models, Dataiku's strategy centers on helping organizations build, deploy and govern AI systems across complex technology environments. Recent product launches underscore that direction. The company has introduced capabilities including Reasoning Systems, Agent Management and Cobuild on Snowflake, while also expanding its open-source initiatives through its 575 Lab division. "Every major company now has to turn AI into a repeatable source of business results, with the governance to scale it safely," Long said. "My focus is making sure we bring that capability to every organization ready to move from AI ambition to AI success." The appointment highlights an increasingly important challenge in the enterprise AI market: operationalization. While many organizations have experimented with AI technologies, far fewer have successfully integrated them into repeatable business processes that deliver measurable returns. As a result, vendors are competing not only on model performance but also on workflow orchestration, governance, deployment capabilities and integration with existing enterprise systems. Dataiku believes its platform approach positions it to benefit from that shift. By connecting analytics, machine learning and AI agents within a governed environment, the company aims to help organizations manage AI as an enterprise operating capability rather than a collection of isolated projects. With Long now leading global revenue operations, Dataiku is strengthening its commercial infrastructure to support the next phase of enterprise AI adoption, where success increasingly depends on execution, governance and the ability to scale AI across complex organizations.