Manufacturing

Automation has long been a part of the manufacturing industry, driving massive productivity gains, slashing costs, and boosting quality. The next step in the evolution of manufacturing automation - artificial intelligence (AI) through automated machine learning - is poised to fundamentally transform the way manufacturers do business.

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DataRobot is helping innovative manufacturers meet the challenges of intensified global competition and complex governance of factories, suppliers, and distribution networks. Learn how DataRobot speeds the PDCA cycle through automated machine learning.

DataRobot in the News

Forbes: Why Monsanto Partnered With This Startup To Power Its Agricultural Data Science

Mar 07, 2018
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Cision: AI in Manufacturing Market to Reach $4.8 Billion by 2023

Aug 09, 2017
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TechRepublic: Here are the Top 3 Benefits and Barriers to AI Adoption

Nov 13, 2017
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Enaxis Consulting Partners with Automated Machine Learning Leader DataRobot

Dec 18, 2017
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DataRobot Helps Manufacturers With:

Quality Management

With DataRobot, the quality of products can be modeled based on data about materials, production status, and other environmental variables. A good model reduces the lead time and cost of inspections by inspecting only areas that are higher risk. In addition, by visualizing models with DataRobot, warning factors are detected much earlier, improving the overall yield.

Predictive Maintenance

Models created with DataRobot predict signs of equipment failure well before they happen. By using historical data such as electrical current, vibration, and sound generated by manufacturing equipment, DataRobot quickly develops highly-accurate models that transform maintenance operations. These insights improve effectiveness while reducing overall maintenance costs.

Demand Forecast

Accurate demand forecasting makes production plans more efficient and helps eliminate waste. By applying machine learning to market data, product specifications, and sales trends, DataRobot predicts future sales more accurately than traditional forecast methods. Companies use this information to predict sales in new market segments and plan accordingly.

Processing Conditions

Once the domain of highly-specialized practitioners, the tuning of processing conditions at production facilities can now be automated with DataRobot. By quickly generating models that offer highly-accurate predictions in a fraction of the time of manual methods, manufacturing firms speed the set up of new production lines and extend automation capabilities across the factory.

Research&Development

Manufacturing firms have a number of important considerations for R&D, including setting direction and priorities for the company and making build vs. buy decisions. DataRobot drives improvements for R&D through the visualization and comparison of DataRobot models, enabling more effective PDCA cycles and improving overall competitiveness.

Smart Products

With IoT, almost every device now connects to the Internet, constantly updating and providing value-added services. By leveraging models built by DataRobot in connected (or offline) line items, these Smart Products constantly learn through continual historical data analysis, allowing systems to evolve and improve faster than ever before.

 

Take a brief tour of DataRobot's automated machine learning platform

What Our Customers Say

  • "DataRobot does something different from other tools. It offers a high-quality auto-modeling tool that creates amazing models with fine-tuned adjustments in a matter of minutes."

    Andrew Greenhut
    Andrew Greenhut

    Senior Data Scientist, LogMeIn

  • "We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers."

    Evariant
    Evariant

How will your manufacturing team maximize operations with AI?

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