Posted in | Materials Analysis

How Smart Data Practices Enhance AI-Driven Materials Innovation

Join for an informative webinar titled "Smart Data Practices for AI-driven Research and Development," where you will discover how to improve your data strategies to harness the power of AI and witness cutting-edge data intake technologies.

The Webinar Will Explore Data and AI at Three Levels:

How can a company make sure it has AI-ready data?

  • What data infrastructure and rules should be in place?
  • How does AI-ready data look?

How can an R&D manager help their team adopt best data practices?

  • Recognizing the value of data generation and curation
  • Promote a no-blame culture to gather useful failure data

How does a researcher choose which data and attributes are significant for a project?

  • Understanding transfer learning from previous projects
  • Analyzing data to identify valuable information

AI is transforming research and product development roles. How data is acquired determines the efficacy of AI and, as a result, a company's competitive edge.

What You Will Learn

  • Characteristics of AI-ready data
  • Effective data management techniques
  • New technology simplifies data integration into AI platforms

Who Should Attend

  • R&D Managers and Executives looking to integrate AI into their operations for a competitive edge
  • Researchers and Scientists interested in using data and AI to improve research outcomes

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