Building your Own AI Product: Best Practices and Approach – Learnxt

Webinar

Building an AI product :

Best Practices and Approach

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About the Webinar

Building an AI product requires a paradigm that differs from a traditional software product. This webinar will focus on :

About Speaker

Arjun Menon

Lead Data Scientist
VMware

Arjun is currently serving as Lead Business Analyst at VMware India. Responsible for driving business analytics projects and analytics products to enable delightful experience for VMware customers.  Gold Medallist in Industrial & Production Engineering from NIT Calicut and a full time MBA holder from IIM Kozhikode. Has worked with IBM and Accenture’s strategy consulting divisions as an Artificial Intelligence and Analytics SME. Presented on healthcare analytics at American Diabetic Association Conference. Has been conducting classes on application of analytics and AI in business for both internal and external audience.

Gaurav is an experienced Data Scientist and Marketer with close to 10 years of experience in machine Learning, Statistical Modelling, marketing analytics, product management and business consulting in retail, telecom and financial analytics. He has an MBA in Marketing and Strategy from IIM Bangalore and a Post- Graduation in Machine Learning and Artificial Intelligence from Carnegie Mellon University along with an engineering degree from KIIT University.

Gaurav Baidyasen

Vice President and Head – Data Science LEARNXT, SRM Group
LEARNXT is a global digital learning brand of SRM Group empowering people to achieve their dreams through education.
LEARNXT provides learning products, solutions, and services by leveraging high-quality intellect hand-picked across the globe. The rigorous curriculum and content are created and curated with a deep understanding of the industry and individual learning needs. The most innovative learning and teaching experiences are orchestrated over the state of the art brick and click infrastructure with a strong intent to measure and report learning outcomes.

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