Chief Analytics Officer at Digital Reasoning joins host JP Valentine on AI Mentors to discuss the work he does at Digital Reasoning, new trends we should embrace such as XAI and Unsupervised Learning, what a great Data Scientist looks like and how to build an effective Data Science team.
Welcome to episode 22 of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.
Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.
Today’s guest is Uday Kamath, Chief Analytics Officer at Digital Reasoning. He is experienced in building large analytics team, products, commercialization and technical sales and has a great interest in Machine Learning theory and practical implementations in NLP and Speech Analysis.
Uday is responsible for Digital Reasoning’s Machine Learning Products and Innovation. By leveraging AI Techniques such as Deep Learning and Statistical Machine Learning, this allows them to create improving human communications through speech, images and text in several domains.
In the show, Uday will give his thoughts on:
- How he became attracted to the world of Data Science
- The work he does at Digital Reasoning
- Interesting projects within human trafficking, healthcare and finance
- New trends we should embrace such as XAI and Unsupervised Learning
- Building a great Data Science team
- What a great Data Scientist looks like
If you would like to learn more about Uday and his work at Digital Reasoning, check out their website www.digitalreasoning.com. You can also give them a follow on Twitter @dreasoning and connect with Uday on Linkedin.
What were your key learns from Uday’s podcast? What takeaways did you gain from the show to help in your Data Science aspirations? I would love to hear your thoughts so please leave a comment below.
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