The AI Impact on Daily Touch Products
P&G creates a wide range of ‘daily touch’ products that impact the lives of billions of users on a daily basis. These products range from smart products with digital capabilities such the Oral-B toothbrush to a number of decidedly ‘analog’ products that make laundry rooms, living rooms, bedrooms, kitchens, nurseries, and bathrooms a little more enjoyable. This talk will broadly cover the AI value proposition in changing consumer insight generation and product discovery, product in-use experience and product-market iteration. Narrowly, it will cover one or two use cases on the use of Deep Learning to reframe product discovery and product experiences in superior ways.
Venu directs the R&D Data Science & AI organization at Procter & Gamble research. He is a technology leader with a track record of successful consumer & enterprise innovation at the intersection of AI, Machine Learning, Big Data, and IoT. Previously he was VP of Data Science at Lightpad, an IoT startup acquired by a large Internet player , led the creation of a video analytics and Machine Learning platform acquired by Comcast , and was a founding member of the Motorola team that created the Zigbee IoT standard. Venu holds a PhD (Databases & AI) from The Ohio State University, and was a member of Motorola’s Science Advisory Board (top 2% of Motorola technologists). He is an Adjunct Professor at Rice University’s Electrical and Computer Engineering department, and was a mentor at Chicago’s 1871 startup incubator.