Innovation and Inspiration through Cognitive Computing: IBM Watson in the Age of Discovery

PRESENTERS: Swami Chandrasekaran, IBM


FORMAT: Presentation


IBM Watson’s cognitive capabilities are transforming industries like healthcare, higher education, retail and consumer products, to name a few. Imagine if you could take the skills and experience of your organization’s top experts and scale that insight across your entire organization. Imagine if you could find new, related pathways in your data to make discoveries in a fraction of the time you could before. Imagine a world where information presented itself at the point of possibility, decisions were made with all available evidence, and the expertise of your entire organization was available on demand. This is the power of what can be achieved with Cognitive Computing. IBM Watson, a cognitive system, is the new competitive advantage. In this session, you will get a look at what is next for cognitive computing, and learn how you can capture a sustained competitive advantage today by tapping into the transformative power of IBM Watson.


Swami Chandrasekaran (@swamichandra) is as an Executive Architect and technical leader in the IBM Watson CTO Office. In this role, he sets & drives the technical agenda for cognitive computing, and works with customers on building IBM Watson based cognitive, analytics & big data solutions. His team is also responsible for driving the technical strategy around domain adaptation of Watson for various solutions in key industries, such as healthcare, telecom, public sector and financial services.

Prior to his current role, Swami was the Chief Architect for IBM Software – Business Solutions. Under his leadership, his team worked with several customers in 25+ countries in the areas of OSS/BSS transformation, Cloud Service Broker, Cloud Storefronts, Digital Media Supply Chain, Mobile Payments, Smart Metering, Real-time & Contextual Campaigns. He has holds a Masters in Electrical Engineering from UT Arlington and authored several books & publications in the areas of natural language processing, data science, BPM, SOA and enterprise integration. He has also previously worked Webify, KPMG, BearingPoint and Ericsson Research.