FAQs About PAW & TAW NYC's Agenda-Oct 16-21 NYC
Predictive Analytics World in Three Weeks-Oct 16-21 NYC
Text Analytics World in Three Weeks-Oct 19-20 NYC
PAW London Early Bird Ends Oct 14-Nov 30-Dec 1 London
Call-for-Speakers for 3 PAWs & 1 TAW-2012 in SF/Chicago/Toronto
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View Sample Sessions for Free-Online, on demand
9 Predictive & Text Analytics Workshops-Oct 16-21 NYC
Predictive Analytics for Business-Oct 27-28 SF
Predictive Analytics Applied-On demand any time
Uplift Modeling - Predict Marketing Influence
Industry Survey Report:
Text Analytics World Coming in Three Weeks - Oct 19-20 in NYC
Text Analytics World NYC is the business-focused event for text analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to leverage unstructured data for business impact.
Featured Session (joint with
Predictive Analytics World):
Social Media Analysis for Market Prediction
In this session you will learn how Professor Bollen's team has analyzed large-scale Twitter data to yield accurate measurements of the public's mood state which in turn have been shown to contain predictive information with regards to the Dow Jones Industrial Average. In addition you will learn how the team performed an analysis of longitudinal changes in individual user sentiment over hundreds of thousands of Twitter users to study the effects of social networking relations to evolving user mood states.
Click here for a complete, detailed session description
Text Analytics World NYC is packed with the top text analytics experts, practitioners, authors and business thought leaders, including keynote speakers:
Text Analytics World focuses on concrete examples of deployed text analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners employ text analytics, and what kind of business impact it delivers.
TAW New York City will feature over 25 sessions with case studies form leading enterprises in automobile, educational, e-commerce, financial services, government, high technology, insurance, retail, social media, and telecom such as: Accident Fund, Amdocs, Bundle.com, Citibank, Florida State College, Google, Intuit, MetLife, Mitchell1, PayPal, Snap-on, Socialmediatoday, Topsy, a Fortune 500 global technology company, plus special examples from U.S. government agencies DoD, DHS, and SSA.
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Sharpen Your Skills at Predictive Analytics World and Text Analytics World by Adding a Related Hands-on Workshop
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Broaden Your Expertise by Mixing and Matching Workshop and Conference Topics
Once you know the basics of predictive analytics, there's no better way to dive in than operating real predictive modeling software yourself - hands-on. "Get your hands dirty" by trying out state-of-the art modeling methods on real data. Working to solve a specific business problem, you will design and execute on a core analytical approach. Prep the data, set up the modeling, push "go" and check out the results
"Hands-on Predictive Analytics" puts predictive analytics into action. This one-day workshop leads participants through the industry standard data mining process, from Business Understanding through Model Deployment, approaching each stage of this process by driving a state-of-the-art data mining software product. In this way, attendees gain direct experience applying this "best practices" process, and ramp up on an industry-leading tool to boot.
Your organization holds an increasing amount of data in unstructured and semi-structured formats from customer e-mails, call center logs, incident descriptions, suspicious transaction reports, open-ended customer survey responses, news feeds, Web forms, and so on. Leveraging this information in a thorough and systematic way is increasingly critical in order to understand customer behavior and attitudes, develop successful predictive models and drive business decisions.
This introduction to text analytics provides true hands-on experience, using IBM SPSS Modeler and IBM SPSS Text Analytics software. The course will guide you to actively analyze text, improving the understanding of unstructured data, and using this understanding to enhance data mining models
Read about 7 other analytics workshops alongside PAW and TAW