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EVENT DETAILS |
How can AI drive a meaningful rise in sales & loyalty?
The potential of machine learning recommendation systems driven by conversational chat analysis or computer vision give powerful insights into what consumer preferences are. Getting the right offers out front saves consumers time, makes them feel more heard, & leads to higher sales.
We'll hear from Joseph Babcock, Lead - Data & Experimentation at Jetblack giving key examples from Netflix' recommender & systems at Jetblack & Balaji Ravindran of Markable on the impact of computer vision & deep learning for retail recommendations.
Please note the location at Betaworks Studios.
Event Schedule
6:00 PM Networking & Food, Beer6:30 PM Kickoff & Sponsors (IBM, Betaworks Studios, MoNage)6:40 PM Joseph Babcock, Jetblack on The "Why" in A.I.: How Machines Learn Consumer Decisions7:20 PM Balaji Ravindran, COO of Markable.ai on Computer vision & deep learning AI for fashion retailers when words aren't enough8:00 PM Extended Q&A & Open Member Discussion
Talk 1: The "Why" in A.I.: How Machines Learn Consumer Decisions
The machine learning technologies powering online retail, search & streaming services use patterns in large datasets to predict human decisions. While traditionally these models use implicit signals such asorder histories, new formats such as natural language may provide richer context for understanding consumer choice. In this talk I will draw examples from the Netflix recommender system & Jetblack to illustrate the changing landscape of these technologies, as well as the opportunities & challenges for machine learning in the domain of conversational commerce.
Talk 2: Computer vision & deep learning AI for fashion retailers when words aren't enough
Computer vision AI unlocks the ability to delight a customer with a product match when what they're looking for just can't be put into words. How can fashion & other visually oriented shopping businesses prepare to embark on this journey of process automation & implement machine learning? How does a system like this get trained?
Bio
Balaji is an innovator & executive with experience building new companies as well as growing products of over $100MM P&Ls in large companies. Balaji is currently the Chief Operating Officer & Chief Product Officer at Markable.ai.Balaji has nearly two decades of digital industry experience mostly in executive roles & in product leadership. He launched several industry-leading products in Online Advertising, Commerce, Consumer Search, Media & Monetization.
From 2005 to 2009, he led product management for online advertising of over $100MM P&L at Yahoo! (#1 consumer portal then). At Nielsen, as a Vice President of Product Leadership, he rapidly expanded online platform & products to international markets & scaled Global eCommerce & Search products. He has the accomplishment of winning several awards for innovation & has seven granted US patents.
Sponsors
This event is made possible with the support ofIBM,Betaworks StudiosandMoNage.
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