Interpretable Machine Learning
Listen now
Description
As more advanced techniques and implementations continue to be developed on the flip side the adoption rate of these techniques remains debatable. It takes years for these techniques to become prevalent and get integrated with the existing business processes. The Industry laser focuses on the applied part of Artificial Intelligence to solve complex real world problems. To obtain tangible business benefits and ensure that Artificial Intelligence initiatives do not fail, it is imperative that Artificial Intelligence and Machine Learning becomes explainable and interpretable.  In view of these, we've invited Mr. Serg Masis, a seasoned Climate and Agronomic Data Scientists at Syngenta from Raleigh-Durham-Chapel Hill, North Carolina, United States of America, as he shares with us his insightful views on the challenges and opportunities on the Interpretable Machine Learning and its significant relevance to our digital economy. LinkedIn: Serg Masis Website: https://www.serg.ai --- Send in a voice message: https://podcasters.spotify.com/pod/show/edgar-angeles/message
More Episodes
The speed of innovation and ability to adapt to rapidly changing market trends rests on the agility of your release cycle and the ability to quickly diagnose, triage, and fix errors. Data virtualization is the critical lever used by forward-thinking enterprises to provision production-quality...
Published 10/21/24
Breaking down the analytics adoption barrier will require providing data and analytics where people spend their time, without disruption — just like we are used to receiving insights while scrolling through Netflix for instance. With this in mind, the most innovative organizations are already...
Published 09/30/24
Published 09/30/24