IBM Predictive Analytics Agenda 2014

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Eric Siegel

Eric Siegel
Eric Siegel, PhD, founder of Predictive Analytics World and TextAnalytics World, and Executive Editor of the Predictive AnalyticsTimes, makes the how and why of predictive analyticsunderstandable and captivating.

In addition to being the author of "Predictive Analytics:The Power to Predict Who Will Click, Buy, Lie, or Die,"Eric is a former Columbia University professor whoused to sing educational songs to his students, and a renowned speaker,educator and leader in the field. He has appeared on Bloomberg TV and Radio,Fox News, BNN (Canada), Israel National Radio, Radio National (Australia),The Street, Newsmax TV, and NPR affiliates. Eric and his book have beenfeatured in Businessweek, CBS MoneyWatch, The Financial Times, Forbes,Forrester, Fortune, The Huffington Post, The New York Times, The SeattlePost-Intelligencer, The Wall Street Journal, The Washington Post, and WSJMarketWatch.

Jason Burke

Jason Burke, Principal, IBM Business Analytics
Jason Burke is a principal within IBM Business Analytics specialising in Advanced Analytics. Jason's previous roles in IBM and SPSS include leading professional services and software sales support.

Over the last two decades Jason has advised many businesses across Australia and New Zealand on the business and technology steps required to integrate predictive analytics and other emerging analytic technologies into their decision making ecosystem. His experience spans telecommunications, retail, media & entertainment, financial services, healthcare, and tertiary education sectors.

Angelica Veness

Angelica Veness, Technical Specialist, Advanced Analytics, IBM
Originally from the UK but now based in Sydney, Angelica Veness has been working in the analytics industry for over 10 years. Angelica specialises in uncovering insight in big data through advanced analytics, helping companies to ‘predict and act’ rather than ‘sense and react’.

Mike Bonner

Mike Bonner, Business Analytics Speciality Architect, IBM
Mike Bonner is a Business Analytics Specialty Architect with a focus on SPSS software. Mike has spent the last 15 years working with clients to recommend appropriate reporting and analysis solutions, an area which has broadened naturally to include predictive analysis.

Karen Hardie

Karen Hardie Senior Technical Sales Consultant, IBM
As Senior Technical Sales Consultant for IBM Business Analytics, Karen specialises in SPSS technology. Karen works with IBM clients across Australia and New Zealand to assess their customer analytics requirements and make recommendations on the best solution to suit their needs. Karen has worked in the market research industry for over 30 years and for most of these has been a technology innovator in this space. Karen is a Qualified Practising Market Researcher (QPMR) and second most long-standing female member of the AMSRS.

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