Go Inside Watson Analytics
Are you ready to Go Inside Watson Analytics, IBM’s new tool that gives business users access to powerful analytics at their fingertips? Uncover the genesis and development of the new tool with IBM Experts, Thomas Dong and Kyle Weeks. Watch as big data experts Miles Austin, Lillian Pierson, Tim Moran and Thomas Ciszek discuss first-hand experiences with the new solution and share their impressions with the IBM team.
Participate in the conversation using #WatsonAnalytics.
Miles Austin (@milesaustin): Miles is author of the popular Fill the Funnel blog and a 30 year sales and leadership veteran who loves to learn, write, speak and train about technology. Known around the world as “the Web Tools Guy,” his clients and readers count on him for that practical, street-level smarts that is so hard to find in the marketplace.
Thomas Ciszek (@ciszek): Thomas is on the global research team at Twitter where he helps marketers understand the value of their Twitter investments. He began his career practicing information economics and policy analysis at The RAND Corporation and was co-founder and VP of products at Cojoin (an analytics and visualization startup backed by Launchpad), as well as an analyst at GOOD Magazine. Tom's a big fan of data, diagrams and bowties.
Tim Moran (@timothymoran): Tim began as a software development engineer and consultant for SunGard EBS, moving into project management and leadership for several multi-million dollar enterprise software implementations for clients such as JP MorganAmerican United Life. While living in places like Beijing and Hong Kong, Tim became immersed in the development, implementation and management of global business and technology systems.
Lillian Pierson (@bigdatagal): Lillian Pierson is an internationally-recognized influencer and speaker in the big data and data science space. Over the past seven years she earned her professional engineering license and founded Data-Mania, an information services start-up, using her data-driven growth skills to carve out a well-branded online space that’s helped position her as a social leader in data science.