Examining the Big Questions facing the Text Analytics Industry

• Get the latest market trends and learn where the text mining industry is heading next
• Hear how text analytics is being built into e-discovery and listening platforms, law-enforcement IT, BI suites, data-mining workbenches, search interfaces, and the Semantic Web in 2010
• Understand the impact that developments in sentiment analysis and social media analysis are having on shaping the future of text mining

• Understand how data is the DNA of LinkedIn and how data & text mining has allowed them to leverage this to provide an unparalleled product
• Get the lowdown on the challenges faced by having such a vast amount of data and how text mining has helped LinkedIn to turn unstructured data into structured, usable insight
• Hear how LinkedIn will be using data & text mining to enable them to interact with customers and allow them to offer more quality products
  

Dj Patil, Chief Scientist & Senior Director - Product Analytics, LinkedIn

Mr Baron will explore lessons to be learned from his experience managing enormous quantities of nonstructured data for e-discovery.

• Get the best practises in the use of search and information retrieval
• Discover the extent to which automated search algorithms work in a legal environment and how they can be applied to your business
• Take away your blue print for effective E-discovery methods

Jason R. Baron, Esq. Director of Litigation, National Archives and Records Administration

Leverage Web Data Services as a new more effective way to accomplish

• 360-degree coverage of relevant data sources
• Noise-free and well Structured data
• On-demand real-time data access

Stefan Andreasen, Founder & CTO, Kapow Technologies

Informative debate on how to have the best quality data within your organization

• Understand why noise-free data will open insights you would have never considered
• Get the full details on how effective and creatively presented data will work for your business
• Get the prerequisite of your text analytics investment - immediately actionable results

Chris Jones, Manager of Analytics, Intuit

Jackie Heywood, Senior Consumer Analyst, ConAgra Foods

Moderator: Gregory Piatetsky, Editor, KD Nuggets

Michele Nievaard, AVP - Voice of Member/Marketing, USAA

• Hear how the text analytics market is going through a transition from early adopters to early mainstream as a broader mix of people adopt the tecnology
• Get the latest details on how social media analysis is going mainstream and the role text mining has to play
• What is happening in creating a fully interactive exploratory analytics technology
• Learn how text analytics is quickly becoming part part of a vibrant and growing partner ecosystem

Justin Langseth, President & CTO, Clarabridge

Ian Hersey, Worldwide CTO, Attensity

Jeff Catlin, CEO, Lexalytics

Olivier Jouve, VP Corporate Development, SPSS, an IBM Company

Moderator: Seth Grimes, President, Alta Plana

Jake Levirn, Sr. Product Manager, ECM IBM

Get a case example of how to deliver real results to your business through text analytics

• Discover how the key is moving from batch processing to exploring real-time categorization
• Get the full facts on creating a personalized web experience
• Learn how to amalgamate data from a variety of sources to gain a more complete picture

Chris Jones, Manager of Analytics, Intuit

• Find out how to overcome the challenges in combining structured and non-structured semantic data
• Practical insight on bringing together end users and developers to share information
• Learn how to use standards to facilitate transfer of technology to industry
  

Lynette Hirschman, PhD, Director, Biomedical Informatics, MITRE

Exploring the top issues in the semantic space...

• What are the possibilities of semantics and realistically how do we see the space panning out?
• What is the potential for what we extract and what business impacts will this have on your organization?

Vladimir Zelevinsky, Manager, Applied Research, Endeca

As the world wide web progressively evolves into semantic web hear a break down of how things are shaping up:

• Tag and entity analysis of socially constructed data
• Entities as the building blocks of semantics
• Using graphs of entities to identify semantic context
•  A social experiment for semantic vocabulary creation
• Targeted human judgement to unravel semantics

Jamie Taylor, Minister of Information, Metaweb Technologies

• Discover how to sketch some architectural, linguistic, and computational approaches to natural language analysis
• Learn how to enable an open set of relations to be extracted with precision and at large scale

Ron Kaplan, Chief Scientist and Principal Researcher, Powerset Division of Microsoft Bing

Bring together experts and successful end users for a discussion and opportunity for questions and answers about harnessing the power of social media  and other unstructured data mining

• Understand the details of how semantic connections consist of semantic contexts, meaning representations, taxonomy and word meaning distinctions
• Learn how semantics is applicable to your business and will help in the organization and understanding of data

Vladimir Zelevinsky, Manager, Applied Research, Endeca

Ron Kaplan, Chief Scientist and Principal Researcher, Powerset Division of Microsoft Bing

Evan Sandhaus, Semantic Technologist, New York Times Company

Moderator:  Jamie Taylor, Minister of Information, Metaweb Technologies

• Using data discovery to ask questions you don’t know to ask
• Insights into ConAgra’s closed loop process
• Examples of success through difference and discovery algorithms.

April Field, Consumer Affairs Manager, ConAgra Foods

Jackie Heywood, Senior Consumer Affairs Analyst, ConAgra Foods

• Learn the latest methods currently in use in fraud detection, compliance, and e-discovery
• Get the inside track in emerging judicial responses to an acceptance of analytical approaches in e-discovery
• Take away practical inisight in adapting existing in-house tools

Gerard Britton, JD,MS, CFE, Director, Constantine Cannon LLP

The potential for gain is huge, the capability claims are often tall tales, and the "land rush" for leadership is very much a race.

Dr Elder will outline case studies from recent practice including:

• Risk profiling for Department of Defense (DOD)
  
• Prioritizing security search for the Department of Homeland Security (DHS)
  
• Quick decisions for Social Security Administration (SSA)
• Document discovery for the Department of Defense (DOD)
  
• Disease discovery for the Department of Homeland Security (DHS)

John Elder, PhD, CEO, Elder Research

• Content will be available shortly

TBA

1. Explore the use of text analysis capabilities in a large-scale content analysis and recommendations engine
2. How text mining solved the recommendation cold-start problem
3. Discuss strategies for applying these to large-scale systems

Hilary Mason, Chief Scientist, Bit.ly

• Discover how Customer Interaction Analytics is evolving to effectively mine all your customer touch points
• Learn how leading enterprises are using analytics to reduce costs, increase profitability and outperform their competition
• Understand the differences, dependencies and synergies of different customer touch points and channels
• See how you can proactively identify and influence new trends and changes in customer behavior before they pop up on social media sites.

Daniel Ziv, VP Customer Interaction Analytics, Verint

• This presentation is about `The Last Mile’ of text analytics projects – how companies apply the intelligence gleaned from text analytics projects for competitive advantage. 
• Too often these projects are conducted without a clear goal in mind, and no real path for what the stakeholders will *do* with the information. 
• This presentation will focus on real-world examples and best practices for how companies are integrating the insight from text analytics and changing the way they do business as a result.

Leslie Owens, Analyst, Forrester Research

Content will be coming shortly

Seth Grimes, President ,                                 Alta Plana

Nick Patience, Research Director, Information Management, The 451 Group

Susan Feldman, Research VP, IDC

Leslie Owens Analyst, Forrester Research

Moderator:  Olivier Jouve, VP Corporate Development, SPSS, an IBM Company

Fern Halper Partner , Hurwitz & Associates

A comprehensive introduction to text analytics from one of the industry's leading experts

• Understand the business case for Text Analytics and ROI you can achieve
• Discover the essential technical points for successful deployment in your organization
• Evaluate and analyze best practices for getting started with Text Analytics to guarantee success

Seth Grimes,
President ,                                

Alta Plana

Discussion on key issues surrounding vendor choices including:

• What are the issues when choosing a vendor?
• Understanding the problem you’re trying to solve
• Understanding current and future market dynamics
• Vendor viability
• Breakdown of 15+ vendors and their offerings. 

Speakers:
Justin Langseth, President, CTO & Co-founder, Clarabridge, Inc.
David Marko, VP Services, Clarabridge, Inc.
Chris Jones, Manager of Analytics, Intuit
Trevor Croop, Financial Analyst, Hotel and Strategic Planning, Gaylord Entertainment
Michele Nievaard, AVP - Voice of Member/Marketing, USAA

Description:
Join Clarabridge co-founder Justin Langseth as he attempts to break the Text Analytics deployment speed record.

Mr. Langseth is the current holder of the speed record, after deploying a complete text analytics system in 45 minutes at the 2008 Text Analytics Summit, while simultaneously taking questions from a live audience. This year he will attempt to perform the same feat in a third the time--less than 15 minutes, while leveraging and explaining some of the new features in the Clarabridge 4 platform.

After the record attempt, three Clarabridge customers including Gaylord Hotels and Intuit will join Clarabridge VP David Marko in an interactive discussion on the best creative ways to get business value from text analytics, and how justify the ROI of text analytics for customer experience management.

After the customer discussion, Mr. Langseth will close by providing a behind-the-scenes sneak peak and demonstration of some of the exciting new features coming in the upcoming 4.1 and 4.2 versions of Clarabridge.

Perfect Text Analytics

Speakers:
Seth Redmore, VP of Product Lexalytics

Description:

Be prepared for a wide ranging discussion, going from abstract ideas to technical facts, showing real world implementations and getting a sneak peek at the next 12 months of Lexalytics' relentless pursuit of an ideal.

What is perfection, and why are we even bringing up such an uncomfortable topic?

Why hasn't Lexalytics chosen any single vertical to pursue?  And why we think that's a really good thing for our customers.

See customer snapshots from different market segments:  Reputation Management,  Market Intelligence, Hospitality, Search, Financial Services... (and maybe more!)

Hear about our plans for the next 12 months of progress towards making our text analytics platform not just the best in the industry, but perfect!

Make Better Decisions Faster with IBM Text Analytics Solutions

Speakers:

Jake Levirn, Sr. Product Manager, ECM
Bruce Tannenbaum, Managing Consultant - IBM Text Analytics Group
Stuart Torzewski, Sr. Product Manager, SPSS, an IBM Company

Description:

Your organization's documents can become active participants in your business processes – before you even read them. Discover how IBM text analytics technologies can help your organization gain insight from key documents, predict what's next and respond strategically. For example, what if:

•Insurance companies automatically flagged suspicious claims?
•Hospitals regularly analyzed patient records to identify epidemic clusters of disease?
•Police databases automatically correlated witness statements with crimes committed to reveal primary suspects?
•Telecommunications companies used their call center notes to minimize churn from their high valued customers?

Find out how IBM text analytics solutions can help your organization realize this vision with little impact on its current infrastructure. This demonstration will introduce you to key IBM technologies through the eyes of three separate personas:

•The line of business manager who needs to derive new insights from both structured and unstructured content in order to more effectively manage the business
•The business analyst who incorporates unstructured content into predictive models to better understand underlying factors and make more accurate predictions
•The solution developer who wants to integrate advanced text analysis capabilities into existing solutions and infrastructure, transforming how solutions interact with the business users and their content

If you'd like to make text analytics part of your organization's blueprint for success, you won't want to miss this demonstration!