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Part 3 - How to predict Standard Essentiality
In this best practice webinar series, we will explore methods and approaches on how to retrieve, normalize, match, and then count and valuate data such as declared SEPs, standards contributions as well as SEP claim charts. The three-part webinar series provides real-world examples. In each webinar session, we will discuss best practices that we have identified with our partners and customers. The webinar is interactive, and participants can raise their hands, ask questions, and enter the discussion.

Part 3: How to predict Standard Essentiality

• How to correlate declared SEPs and standards data?
• How to make use of training data of verified essential patents from claim charts?
• Best practices on verified SEP sampling methods to calculate an essentiality share.
• Best practices on SEP prediction methods to calculate the likelihood of essentiality.
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Tim Pohlmann
Founder and CEO @IPlytics
Tim Pohlmann is the CEO and founder of IPlytics. He earned his doctoral degree with the highest distinctions from the Berlin Institute of Technology with a dissertation on patenting and coordination in standardization. He then went on to work as a post-doctoral researcher and consultant for the "Law and Economics of Patents Group" at CERNA, MINES ParisTech. Tim founded IPlytics with the vision to create the first solution on the market to bring together comprehensive, highly indexed technical standard information, global patents, declared standard essential patents (SEPs) as well as patent pool and technical standard contribution data to provide industry leading analysis on the past, present and future of standard essential technology.