Tech On Reg Podcast
Tech On Reg Podcast
Tech on Reg is the podcast that explores all things at the intersection of law, technology and high regulated industry. Host Dara Tarkowski talks FinTech, RegTech, SexTech and more with thought leaders and entrepreneurs from around the world to share insights, trade viewpoints and get us all thinking about responsible innovation.
Be sure to visit the podcast's website and support the creator: provoke.fm
Where to listen?
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Episodes
A Receivables Tech Entrepreneur 11.02.2020
Dara Tarkowski hosts Adam Parks to talk accounts receivables recovery and the management of debt.
Privacy & Security: State of the States 28.01.2020
Dara Tarkowski hosts Martin Tully of Actuate Law as they discuss privacy and security and all of the new legislation being enacted in our country!
Digital Identity 14.01.2020
Dara Tarkowski is joined by David Birch as they discuss what David describes as the MOST important topic in regards to FinTech!
Meet the Company Building Robot CFOs 18.12.2019
Dara Tarkowski is joined by Fady Hawatmeh to talk about the innovations happening at Clockwork!
What Apple Card Means for the Future of AI Regulation 03.12.2019
Dara Tarkowski is joined by Ron Shevlin to talk changing regulation as Apple Card comes into play!
Lets Talk About SexTech 19.11.2019
Dara Tarkowski is joined by SexTech Lawyer Maxine Lynn to talk sex toys, sex dolls, and the regulation and security of the growing SexTech industry!
Care is More Than Compliance 05.11.2019
Host Dara Tarkowski sits down with Denyette DePierro to talk the importance of Cybersecurity and how to avoid getting hacked!
Get Ready for More Robot Lawyers 22.10.2019
Host Dara Tarkowski sits down with Dan Linna to talk the intersection of Law & Tech!
The Bias in AI Isn’t So Artificial 08.10.2019
As we hear more and more about the expanding uses and applications for artificial intelligence, lets pause to consider how in solving for one set of problems, are we exacerbating others? Whether its pre-existing, technical or emergent bias, what we know its that algorithmic bias is real and rooted in a few different areas. With flaws in both design and data, how do we eliminate the bias in AI? Ghe...
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