Driving eCommerce Sales Through AI Recommendations
from Tuesday, August 28, 2018 5:00PM to Tuesday, August 28, 2018 8:00PM
Ticket Information
Event Details
How can AI drive a meaningful rise in sales and 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, and leads to higher sales. We’ll hear from Joseph Babcock, Lead - Data & Experimentation at Jetblack giving key examples from Netflix' recommender and systems at Jetblack and Balaji Ravindran of Markable on the impact of computer vision and 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 and deep learning AI for fashion retailers when words aren't enough8:00 PM Extended Q&A and Open Member Discussion Talk 1: The "Why" in A.I.: How Machines Learn Consumer Decisions The machine learning technologies powering online retail, search and 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 and Jetblack to illustrate the changing landscape of these technologies, as well as the opportunities and challenges for machine learning in the domain of conversational commerce. Talk 2: Computer vision and 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 and other visually oriented shopping businesses prepare to embark on this journey of process automation and implement machine learning? How does a system like this get trained? Bio Balaji is an innovator and 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 and in product leadership. He launched several industry-leading products in Online Advertising, Commerce, Consumer Search, Media and 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 and products to international markets and scaled Global eCommerce and Search products. He has the accomplishment of winning several awards for innovation and has seven granted US patents. Sponsors This event is made possible with the support of IBM, Betaworks Studios and MoNage.
Betaworks Studios
29 Little W 12th St New York NY USType: Eventbrite