Dan Rudoy is a shareholder and executive committee member at Wolf Greenfield. As part of the Electrical & Computer Technologies Practice, Dan works closely with clients developing technology in a wide variety of areas including artificial intelligence, bioinformatics, electronics, genomics, machine learning, medical devices, and software. Many of these clients are developing technology at the intersection of life sciences and electrical and computer technology. One example is the application of machine learning to the analysis of genomic data.

In this episode of IP Talk with Wolf Greenfield, Dan discusses the opportunities and challenges that patent holders face as they navigate these new and ever-changing technologies. Here are a few highlights of the conversation.

  • 01:06 - The questions clients have about AI and the challenges they are facing
  • 03:58 - New problems IP holders face using GenAI
  • 06:59 - Impact of the quickly evolving AI landscape on a company’s IP strategy
  • 08:32 -The biggest issues and challenges generated by the application of machine learning to the analysis of genomic data
  • 10:04 - How the use of open source software impacts IP strategy
  • 12:05 - AI’s impact on trade secrets - both domestically and internationally
  • 14:55 - Guidance for clients as they move forward with executing a strong IP strategy reflecting the use of AI and machine learning