If you’re worrying about the impact that AI tools could have on your job as a technology transfer professional, stop! In this episode, we are joined by Vice President of Technology Opportunities and Ventures at New York University, Marc Sedam, who is here to share why AI is one of the best things to happen to the field of technology transfer. 

Six months ago, Marc and his team began harnessing the power of AI in their day-to-day activities. Marc predicts that in 2-years time, everything that is done in their office will be AI-enabled. As a result, in 5-years time, he expects they will have doubled their outputs.

In this episode, you will gain a better understanding of how AI tools work and the ways in which this technology is going to increase the sophistication of your work, bridge gaps between industry and academia, and generally make your life easier and more enjoyable!

In This Episode:

[01:03] Introducing Marc Sedam, Vice President of Technology Opportunities and Ventures at New York University. 

[02:41] The transformative power of AI and machine learning in the technology transfer space. 

[04:43] Differences between public and private AI applications. 

[07:54] The profound impact that AI tools have had on NYU’s technology transfer ventures. 

[14:01] How publicly-available AI tools can decrease the time needed to conduct back-office tasks.  

[16:20] Why technology transfer professionals will not lose their jobs to AI tools. 

[16:57] Examples of the ways Marc and his team ensure data quality and accuracy when using AI tools. 

[18:16] An overview of how AI works and the problem of hallucinations. 

[19:31] Why hallucinations are rare occurrences when using private AI tools. 

[21:42] The investment that is required to benefit from AI tools. 

[23:13] Marc’s approach to encouraging the use of AI tools amongst his team. 

[27:01] The 5-year goal that Marc hopes to achieve through implementing AI tools effectively. 

[27:44] Why Marc isn’t worried about job displacement as a result of AI.  

[31:14] What the future of technology transfer could look like because of AI.  

[37:06] An overview of the AUTM/NYU collaboration that aims to encourage AI adoption in technology transfer. 

Resources:

Marc Sedam on LinkedIn

New York University (NYU)