The Impact of Cloud Computing on AI & Conversational AI The 'Cloud' is finally making Machine Learning and Artificial Intelligence practical. The talk explores the fundamental tenants of why Cloud Computing changes the way enterprises should theorize, architect and develop Advanced Analytics and Machine Learning solutions. The advent of GPUs for Deep Learning, the "Uber" & "Airbnb" model of renting compute cycles and sophisticated Cognitive APIs developed by 'hyper-scale' Cloud companies that have massive ($1B+) consumer internet properties give the cloud an unfair advantage for ML & AI. Finally, the session will arm students, technologists and business leaders with a new lens of looking at Advanced Analytics in the new 'Cloud' world order.
Harsha Konduri, Principal Solutions Specialist – Machine Learning – Microsoft
Harsha leads Artificial Intelligence & Machine Learning Product Strategy for Microsoft in the South East US. His work at Microsoft enables several Fortune 500 leverage Microsoft's cloud and partner with Microsoft on their AI initiatives. Prior to Microsoft, Harsha has worked on analytics teams at tech firms including Oracle and IBM. At the age of 24, he co-founded India’s first Predictive Analytics appliance in the Education Space. Harsha graduated from Duke’s Day-Time MBA program with a major in Decision Sciences and has a Masters in Information Systems from BITS Pilani. Harsha actively manages a multi-million dollar commercial real-estate fund targeted at investing in Tier-2 cities in India and is a huge start-up enthusiast.