Artwork

Content provided by Wolf Greenfield. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wolf Greenfield or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Dan Rudoy Examines the Impact of AI on IP Strategy

15:58
 
Share
 

Manage episode 443304520 series 2906556
Content provided by Wolf Greenfield. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wolf Greenfield or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

###

  continue reading

49 episodes

Artwork
iconShare
 
Manage episode 443304520 series 2906556
Content provided by Wolf Greenfield. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wolf Greenfield or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

###

  continue reading

49 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play