Page not found - Text Analytics World Page not found - Text Analytics World

No Results Found

The page you requested could not be found. Try refining your search, or use the navigation above to locate the post.

 -- --

— —

 Catherine Baudin

Catherine Baudin

Chief Technology Officer

Grokcity Inc.

Catherine Baudin is cofounder and CTO of Grokcity, a venture that applies data science to real estate. Before Grokcity, Catherine was a senior scientist at ebay for seven years, she was cofounder and CTO at Kaidara (Acquired in 2011) and a senior research scientist at PriceWaterhouse Coopers and at NASA Ames Research Center. At ebay, Catherine developed technologies to search and analyze large volumes of semi-structured e-commerce data, including tools to help ebay sellers discover profitable niches, to gauge user sentiment, and to support semantic search. At Kaidara, Catherine led the design of technologies to analyse customer data for the automotive, high tech and pharmaceutical industry. At NASA, she developed intelligent engineering documentation systems that could learn from their interactions with users. Catherine has a PhD in artificial intelligence from Pierre et Marie Curie University (ParisVI/France) and author of several research papers, book chapters and patents.

Track 2: APPLICATIONS – Mining Text and Structure for Real Estate Intelligence

 Bryan  Bell

Bryan Bell

Vice President of Global Marketing

Expert System

Bryan oversees all business development for Expert System in North America. He has extensive software industry experience including helping build organizations focused on desktop training, search, automated metadata extraction, taxonomy creation, text analytics, knowledge management and semantic technologies. Prior to his tenure at Expert System, he helped establish and build organizations including Teach.com, Autonomy, Smartlogic and Concept Searching.

Track 2: APPLICATIONS – What is in Your Business Requirement? Searching or Finding
Expert Panel

 Sarah Ann Berndt

Sarah Ann Berndt

Sr. Associate Forensic Technology Solutions

PricewaterhouseCoopers LLP

Sarah Berndt has over 15 years of experience developing programs in both the Information Governance and Knowledge Management space. From a strategic prospective, Sarah’s activities have included developing data models, taxonomies, and ontologies for use in multiple tools and information environments. Specific client centered work has facilitated a tacit focus on platform utilization to enhance the user experience while improving workforce productivity.

With a background in both the academic and research library settings, Sarah’s work at both NASA Johnson Space Center and PricewaterhouseCoopers has facilitated the opportunities to pursue concentric lines of service in developing a deep understanding of the multiple variables that affect accuracy, feasibility and sustainability.

Track 2: APPLICATIONS – Connecting Human Behavior and Patterns in Data for the Enterprise

 Chris Bowman

Chris Bowman

President

Educational Analytics and Logistics

Chris Bowman started teaching in 1969, and he retired in 2008 as the superintendent of schools in The City of Baker School System in Louisiana. After sitting through many expulsion hearings wondering what could be done to keep small disciplinary infractions small, he chanced upon a tool that could look into the wealth of unstructured information that pointed to potential problems. That tool was text analytics. This new found tool produced a very different way of looking into data, problems, and the ever important personalities of the student and the disciplinarian.

Track 2: APPLICATIONS – Improving School Discipline through Text Analytics

 Joseph  Busch

Joseph Busch

Principal

Taxonomy Strategies

Mr. Busch is the Founder and Principal Consultant at Taxonomy Strategies. For the past 12 years Taxonomy Strategies has been guiding organizations such as Deloitte, the Center for Medicare and Medicaid Services, etsy, Honeywell, MasterCard and the Robert Wood Johnson Foundation in developing frameworks that help improve information capture, preservation, search, retrieval, and governance. Before founding Taxonomy Strategies Joseph Busch held management positions at Interwoven, Metacode Technologies, the Getty Information Institute and PriceWaterhouse. He is a Past President of the American Society for Information Science and Technology, and is currently a member of the Dublin Core Metadata Initiative Executive Committee.

Track 1: METHODS – Big Metadata Toolkits: Pattern Analysis and Categorization Components
Expert Panel

 Helen Clegg

Helen Clegg

Knowledge Director

A.T. Kearney

international management consultancy. Helen develops knowledge-sharing solutions for procurement and analytic content, including a successful podcast series available on iTunes and YouTube. Helen has expertise in developing taxonomies and is using this skill to add to the capabilities of the data science team.

Helen’s background is in business research and knowledge management – she has worked for global management consultancies and Fortune 500 companies in their research and knowledge functions. Helen is an active contributor to the global information and knowledge management community, speaking at conferences including Online Information, KM World, Global Most Admired Knowledge Enterprise Conference (Brazil) and Taxonomy Boot Camp. She is also a regular guest speaker at the London School of Business & Finance, the Grenoble Graduate School of Management and the European Institute of Purchasing Management.

Track 1: METHODS – Human And Machine: Applying Knowledge Skills To Solve Big Data Problems

 Ron Daniel

Ron Daniel

Director

Elsevier

Ron Daniel, Jr. is the Director of Elsevier Labs, an R&D group that concentrates on the future of research communications. Dr. Daniel has been with Elsevier since 2010. Before that he as a Principal at Taxonomy Strategies for nine years; consulting on taxonomy, metadata, and other information management issues. Ron has a Ph.D. in Electrical Engineering from Oklahoma State University and was a postdoctoral researcher at Cambridge University and at Los Alamos National Laboratory.

Track 1: METHODS – Large Scale Text Analysis using Apache Spark

 Catherine  Havasi

Catherine Havasi

CEO & Co-founder

Luminoso

Dr. Catherine Havasi has been researching language and learning for nearly fifteen years. In addition to being CEO of Luminoso, she is a research scientist in artificial intelligence and computational linguistics at the MIT Media Lab. She co-founded the Open Mind Common Sense project, which uses information about the world to understand natural language text and make computers easier to use.

Expert Panel
Track 1: METHODS – Bringing Coherence to Chaos – Automated Analysis on Large-Scale Social Data for the 2014 World Cup

 Joseph Hilger

Joseph Hilger

Principal

Enterprise Knowledge, LLC

Joe Hilger is a Principal at Enterprise Knowledge, LLC. Joe has over 20 years of consulting experience. For the past 12 years, Mr. Hilger has helped over 50 organizations implement enterprise-scale content, search and data analytics solutions that deliver real value for his customers. Joe has worked with a wide variety of public and commercial customers to design and develop innovative and cost-effective solutions to enhance competitiveness, increase revenues, and improve customer service.

Track 2: APPLICATIONS – 5 Creative Search Solutions based on Text Analytics

 Marjorie  Hlava

Marjorie Hlava

President

Access Innovations

Very well known in the international information arena, Marjorie is the founding Chair of the new SLA Taxonomy Division established in August 2009. She is past president of NFAIS (2002-2003), the organization of those who create, organize, and distribute information. Ms. Hlava is past president of the American Society for Information Science and Technology – 1993 (ASIST) and the 1996 recipient of ASIST’s prestigious Watson Davis Award, twice a member of the Board of Directors of SLA (formerly known as the Special Libraries Association) where she was awarded the President’s Award for her standards work, 5 year member of the Board of the National Information Standards Organization (NISO), past president of ASIDIC, past President of the Board of Documentation Abstracts, and has held numerous other positions in these and other organizations. She has published more than two hundred articles and books on information science topics.

Mini-Workshop: Using Text Analytics as a Tool Set

 Paul  Hofmann

Paul Hofmann

CTO

Space-Time Insight

Paul Hofmann is Chief Technology Officer at Saffron Technology. Before joining Saffron Paul was Vice President R&D at SAP Labs.

His background is entrenched in research as Senior Scientist and Assistant Professor at outstanding European and American Universities (Northwestern University, U.S., Munich Institute of Technology and Darmstadt Institute of Technology, Germany) and he is an expert in computer simulations and graphics (PhD, research and teaching in Nonlinear Dynamics and Chaos Theory), authoring numerous publications and books.

Paul was visiting scientist at MIT, Cambridge in 2009.

Prior to joining SAP in 2001, Paul was Plant Manager at BASF’s Catalysts Global Business Unit.

Paul received his PhD in Physics at the Darmstadt Institute of Technology, Germany, after completing his bachelor in biotechnology and a master’s degree in Chemistry from the University of Vienna.

Track 1: METHODS – Cognitive Computing – How Do We Make Bits Think
Expert Panel

 Anne Lapkin

Anne Lapkin

SVP, Global Strategy

Smartlogic

Anne Lapkin has 30 years of experience helping companies extract value from information, and she uses her deep understanding of enterprise information issues to guide Smartlogic’s product and communication strategies. Before joining Smartlogic, Anne spent 10 years as a research vice president at Gartner, where she managed the information management research agenda and was responsible for all Gartner research on big data, information management and governance, information infrastructure, data quality and data integration.

Expert Panel
Track 1: METHODS – Automating compliance processes using Content Intelligence

 Richard Mallah

Richard Mallah

Director of Unstructured and Big Data Analytics

Cambridge Semantics, Inc.

Richard is Director of Unstructured and Big Data Analytics at Cambridge Semantics, where he leads the development of Anzo Unstructured, the semantic knowledge management platform for combining and analyzing unstructured, structured, and semi-structured data. With Anzo Unstructured, CSI enables firms in life sciences, finance, and other industries to unlock and operationalize their unstructured assets for smarter, more nimble business.

Richard’s deep grounding in the field includes over a dozen years of software architecture, algorithms development, product management, and CTO-level roles variously involving text mining, machine learning, and predictive analytics in finance, healthcare, and other industries. Richard holds a degree in computer science and artificial intelligence from Columbia University.

Expert Panel
Track 2: APPLICATIONS – Forensic Relationship Exploration In Financial Compliance

 David Meza

David Meza

Operational Excellence Program Manager

Johnson Space Center

David Meza currently serves as the Operational Excellence Program Manager at the Johnson Space Center. He holds a BS in Management Information Systems, a Master’s in Engineering Management from the University of Houston Clear Lake (UHCL) and is currently pursuing an MS in Statistics from UHCL. During his tenure at NASA, he has worked in all aspects of the Information Technology field developing and deploying several IT systems in use at JSC. His desire to improve IT processes and systems lead him to earn Master’s certificates in Project Management and Six Sigma in addition to becoming a NASA certified Lean Six Sigma Black Belt. In his current role at JSC, he established the Operational Excellence program, promoting a viewpoint of organizational leadership that stresses the application of a variety of principles, systems, and tools toward the sustainable improvement of key performance metrics by focusing on the needs of the customer, empowering employees, and optimizing existing activities in the process. Mr. Meza is conducting research on Automatic Classification algorithms, domain specific search interfaces, probabilistic scheduling and a Bayesian network model for risk analysis with respect to scope, schedule and budget. Findings from the research should help improve strategic planning, decision analysis and operational processes.

Track 1: METHODS – Knowledge Discovery through Topic Modeling

 Spencer Morris

Spencer Morris

Vice President Text Analytics and Lead Experience Engineer

InMoment

Spencer Morris has 15 years of operational, analytical, and leadership experience. He directs the innovation and implementation of InMoment’s industry-leading text analytics program. In his four years with Mindshare, Spencer has developed textual analyzers for more than twenty industry verticals and mapped products and analyses for some of the world’s biggest brands. Spencer trains and consults on text analytics with dozens of enterprise companies annually. He is an accomplished speaker and presenter and has also presented various topics at text analytics conferences nationwide.

Outside the office, Spencer embraces his roles as a high school football coach, a husband, and a father of five children—three of which are triplets. He completed his undergraduate degree at the University of Utah and received his MBA with an emphasis in technology management from Westminster College in Salt Lake City, Utah.

Track 2: APPLICATIONS – Using Text Analytics to Drive Richer Data

 Peter Morville

Peter Morville

President

Semantic Studios

@morville

Peter Morville (@morville) is a pioneer of the fields of information architecture and user experience. His best-selling books include Information Architecture for the World Wide Web, Ambient Findability, Search Patterns and Intertwingled. He advises such clients as AT&T, Cisco, Harvard, IBM, Macy’s, the Library of Congress, and the National Cancer Institute. His work has been covered by Business Week, The Economist, NPR, and The Wall Street Journal. Peter lives in Ann Arbor, Michigan with his wife, two daughters, and a dog named Knowsy.

Keynote: The Architecture of Understanding

 Tom Reamy

Tom Reamy

Chief Knowledge Architect

KAPS Group

Tom Reamy is currently the Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy, and text analytics consultants. Tom has 20 years of experience in information architecture, enterprise search, intranet management and consulting, education software, and text analytics consulting. Tom’s academic background includes a Master’s in the History of Ideas, research in artificial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He has published articles in various journals and is a frequent speaker at knowledge management conferences. When not writing or developing KM projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.

Day 1: Conference Chair Welcome Remarks

Day 2: Conference Chair Welcome Remarks

Keynote: Future Directions of Text Analytics: Smarter, Bigger, and Better

 Ravi Sathyanna

Ravi Sathyanna

Vice President of Technology

Brainspace

Ravi Sathyanna is a 20-year veteran in building and managing successful software companies. A leader in information retrieval and analytics, Ravi’s organizations have produced “HR Product of the Year” and “KM World’s top 100 products” in consecutive years. Ravi’s experience in machine learning and in designing large-scale real-time commercial software systems brings unmatched expertise to Brainspace and its market-leading products. Ravi received his undergraduate degree in Electronics and Communications from UVCE, Bangalore in 1991. He received his Masters degree in Computer Science from the University of Texas at Dallas in 1994.”

 Volker Stuempflen

Volker Stuempflen

CEO

Clueda AG

Volker Stümpflen is Clueda’s founder, chief executive and visionary mind. With a background in physical chemistry capped by a doctoral degree and driven by a penchant for computer algorithms since his teenage years, Stümpflen had always been fascinated with replicating complex systems found in nature in human controlled computers. During his long career as an academic scientist, Stümpflen tackled the topic from the perspectives of physics, bio-medicine and computer science. Over the past decade, he focused on innovative search procedures following his conviction that ever-more intelligent semantic search tools are on the verge of replacing the conventional search engine technology. After a postdoc scheme at the University of Eindhoven, he briefly worked as a middleware manager in the telecoms industry before returning to academic research in 2002 at Helmholtz Zentrum Munich – from which Clueda spun off in 2012.

Track 1: METHODS – Real-Time Text Analytics for Event Detection in the Financial World