In Episode 25 of Data Revolution Minute, Pablo explains two basic approaches to patenting artificial intelligence (AI) and machine learning (ML) applications.
This episode of Data Revolution Minute is sponsored by Community Summit North America, the largest independent gathering of the Microsoft Business Applications ecosystem taking place October 10-13 at the Gaylord Palms in Orlando, Florida. With 500+ Dynamics 365 & Power Platform sessions and more than 300 speakers, this event is a must-attend for Microsoft customers. Visit summitna.com for more details.
Highlights
00:33 — The process to patent your AI/ML application doesn’t have to be complex. The solution just has to be well organized.
01:12 — There are two basic approaches to patenting an AI or ML application. The most common approach in the United States is patenting the process or solution that you’re developing itself. Meanwhile, the most common European approach is more focused on patenting the code behind the development.
01:51 — The first approach is typically faster, as the second approach requires more scrutiny.
02:15 — The first approach may be most efficient from the business value perspective; it can give you a lot of credibility in the market.
