The Rise of Industry 4.0
Drive Efficiency With the Power of AI and the IoT
Get the details on end‑to‑end manufacturing use cases for AI—R&D, production, logistics, and more—as well as the Dataiku‑specific features that help enable this digital transformation at scale.
Optimize the Manufacturing Value Chain
Drive high‑value results across:
Get the details on end‑to‑end manufacturing use cases for AI—R&D, production, logistics, and more—as well as the Dataiku‑specific features that help enable this digital transformation at scale.
Optimize the Manufacturing Value Chain
Drive high‑value results across:
- R&D—to improve the product development and life cycle management and establish a feedback loop with post‑sales and marketing
- Production—for use cases including but not limited to predictive maintenance, reducing false error rate, and cross‑functional process optimization
- Logistics—such as demand forecasting and inbound and outbound delay forecasts
- Control tower—enabling process optimization across each sector to achieve true, analytics‑driven plant efficiency
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