Artificial Intelligence is changing the way businesses interact with their customers. From hyper-personalized experiences to chatbots built on Large Language Models, AI is driving new investment in digital experiences. That same AI and LLM can also be used to automate your product data program. From data onboarding and validation to generating descriptions and validating images, AI can help generate content faster and at a higher quality level to improve product findability, search, and conversion rates.
In our second webinar in the Product Data Mastery series, we’re speaking with Madhu Konety from IceCream Labs to show exactly how AI and product data can work together for your business.
Practice Director/Enablement Lead, Earley Information Science
With over 15 years of experience in taxonomy, product data, and solving product data challenges, Dan has been involved with every aspect of Product Data. Working for Vendors, Clients, and Consultants, Dan has worked to catalog the issues from all viewpoints to understand the product data space inside and out.
Founder and Chief Executive Officer, IceCream LabsKonety has more than 20 years experience as an entrepreneur, investor and technology professional working with startups and large software companies. Prior to co-founding IceCream Labs, Konety founded enterprise software company, Musambi, which was ultimately acquired by the founders of NetIQ. In his career, Konety has served in executive investor roles at Big Ear Capital, Deccan Ventures, Pine Wood, Esperto Capital, and Cycladic Capital. Konety also previously served as Product Manager at BMC Software and in software engineering roles at Verifone Corp. and NetQuest. Konety holds a Master’s degree in Business from the Stanford University Graduate School of Business, an M.S. in Computer Science from Virginia Tech, and B.E. degrees in Information Technology from B.M.S College of Engineering and Bangalore University.