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Unlocking Manufacturing's Data Potential with AI and Analytics

Watch On-Demand

Manufacturers are increasingly relying on data analytics to optimize operations, and for good reason. Manufacturing environments are data-rich. Data from sensors, machine logs, and production records can be used to extract valuable patterns and insights, which can help avoid downtime, reduce scrap, and improve sustainability. Implementing data analytics is an essential part of the digital transformation journey and more attainable than you may think.

 

Watch this webinar with ABI Research and Altair to:

  • Determine what factors to consider when evaluating manufacturing data analytics vendors 
  • Learn about Altair RapidMiner, ABI’s top-ranked data analytics and AI platform for manufacturing analytics 
  • Get inspired by real-life manufacturing use cases and successful deployments

See how to maximize the value of your data and compete well into the future.

About ABI Research

ABI Research is a leading provider of research and strategic advice to technology leaders, innovators, and decision-makers worldwide. The company focuses on transformative technologies that are significantly reshaping industries, economies, and workforces today. Their team of global analysts publishes groundbreaking studies, often years ahead of other technology advisory firms, enabling clients to stay ahead of their markets and competitors.

Speakers

Michael Larner ABI Research Altair (2)

Michael Larner

Research Director

ABI Research

Michael Larner, Research Director, is part of ABI Research’s End Markets team tracking the development and adoption of emerging technologies within the context of smart manufacturing and industrial solutions.

Speaker Link

Circle Headshot 2_Scott Genzer

Scott Genzer

Senior Data Scientist

Altair

Scott Genzer is a Senior Data Scientist at Altair as part of the Global Technical Support Team. Scott works with primarily enterprise-scale customers in the industrial manufacturing space, upskilling process engineers into citizen data scientists.