UkBBD1WTLt1szwdn4xMDoxOjBrO-I4W8
Exploring your Design Information with Machine Learning Using the Design Graph
Instructional Demo    CP13397
Mike Haley
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Description

Do you have a data explosion? Are you worried about duplicated models and redundant work? Is this a constant battle? Experience ground breaking new technology from Autodesk that uses sophisticated Machine Learning techniques to analyze your 3D design information and provides you with a new way of navigating and discovering patterns in your data. Get an exciting preview of the upcoming Design Graph technology first introduced at AU 2014.<br /><br />With the Design Graph, 3D content is automatically categorized, correlated, and linked even if there are no explicit relationships between the models and the components within them. In this session you will learn how to explore your design information through these learned categories: shape similarity; relationships between components and designs; parametric properties; and keywords, all at the same time!

Key Learnings

  • Make informed decisions about future data management technology.
  • Know about upcoming features from Autodesk that will help you manage 3D design data more efficiently.
  • Be prepared to leverage Machine Learning to solve data problems instead of using manual methods.

Speakers

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Mike leads the Emerging Products & Technology team at Autodesk where they identify, evaluate and develop disruptive technologies that improve the practice of imagining, designing and creating a better world. His team combines research, development and user-experience in coupled iterative cycles to develop new products and foundational technology. For the last several years Mike’s team has been focused on bringing geometric shape-analysis and large scale machine-learning techniques to 3D design information with the intent to make software a true partner in the design process.
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