AI agents in manufacturing playbook

Predict, optimize, and scale factory performance with Snowflake and Dataiku


Leading manufacturers like Sanofi, Zeus, and Toyota Europe are turning raw plant data into measurable results. By centralizing operations on Snowflake and deploying AI agents in Dataiku, teams predict equipment failures, optimize yield, and reduce downtime — delivering actionable insights directly to operators and engineers on the factory floor.

Discover how to start with high-impact use cases, unify data and AI across production lines, and scale pilots into repeatable, plant-wide operations.

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*Top 500 companies of the 2024 Forbes Global 2000, excluding China

Download the manufacturing AI playbook

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Accelerate manufacturing impact with AI agents

Unify and Govern Data for Trusted Decisions

Consolidate plant, quality, and OT/IT data on Snowflake so AI models and agents in Dataiku run on fully governed, reliable information.

Predict and Prevent Equipment Failures

Use prediction and maintenance agents in Dataiku with Snowflake Cortex to forecast failures, schedule maintenance, and minimize costly downtime automatically.

Empower Teams With AI Agents

Data investigation, prediction, and maintenance agents give operators, engineers, and managers real-time insights and automated workflows, enabling faster decisions and fewer production errors.

Scale AI From Pilot to Plant-Wide Programs

Reuse validated models and agent workflows across lines and plants to expand AI impact, improving yield, quality, and operational efficiency.

Accelerate Yield Optimization in Production With Zeus

Drive yield improvements like Zeus by unifying production data in Snowflake and operationalizing models in Dataiku, cutting deployment from 16-20 weeks to just a few weeks.

Power manufacturing decisions with Dataiku

Dataiku helps manufacturers turn governed data into ROI on the factory floor. Operators, engineers, and data teams use one platform to build and scale AI that improves yield, predicts maintenance, and optimizes operations. AI agents turn insights into real-time action to reduce downtime and keep production running smoothly.

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