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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.
Quick Intel
Dataiku launches Manufacturing AI Blueprint with NVIDIA for maintenance scheduling.
Blueprint leverages NVIDIA Nemotron 3 Super open model for complex agentic tasks.
Validated on NVIDIA RTX PRO 6000 and RTX PRO 4500 Blackwell Server Edition GPUs.
Natural language interface enables optimized maintenance schedules based on plant conditions.
The system dynamically balances equipment health, production schedules, and workforce availability.
Available in environments running NVIDIA AI Enterprise software.
Intelligent Maintenance Scheduling Assistant
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.
Technical Foundation and Performance
By harnessing NVIDIA's high-performance (NVFP4) precision format, this architecture allows 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. 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.
Todd Hallett, SVP of GTM Strategy at Dataiku, stated: "Manufacturing is entering a phase where operational resilience is becoming a competitive advantage. 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."
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. Called the Dataiku Reasoning System for Manufacturing Operations, it is available today and extends use cases like the Maintenance Scheduling Assistant Blueprint, allowing them to be integrated and managed at scale across production areas and even factories.
Jason Schroedl, Director, Product Marketing - Enterprise Platforms at NVIDIA, added: "AI is improving uptime and scaling efficiency across complex manufacturing pipelines. 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."
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.
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