Paul J. Ledak Vice President, IBM Research IBM Corporation

Size: px
Start display at page:

Download "Paul J. Ledak Vice President, IBM Research. 2011 IBM Corporation"

Transcription

1 Paul J. Ledak Vice President, IBM Research 2011 IBM Corporation

2 Watson answers a grand challenge Can we design a computing system that rivals a human s ability to answer questions posed in natural language, interpreting meaning and context and retrieving, analyzing and understanding vast amounts of lnowledge in real-time?

3 Want to Play Chess or Just Chat? Chess A finite, mathematically well-defined search space Limited number of moves and states All the symbols are completely grounded in the mathematical rules of the game Human Language Words by themselves have no meaning Only grounded in human cognition Words navigate, align and communicate an infinite space of intended meaning Computers can not ground words to human experiences to derive meaning

4 Easy Questions? ln((12,546,798 * π)) ^ 2 / 34, = Select Payment where Owner= David Jones and Type(Product)= Laptop, Owner David Jones Serial Number AK Invoice # Vendor Payment INV10895 MyBuy $ Serial Number Type Invoice # AK LapTop INV10895 David Jones David Jones = Dave Jones David Jones 4 IBM Confidential

5 Hard Questions? Computer programs are explicit, fast and exacting with numbers and symbols. But Natural Language is highly contextual, ambiguous and often imprecise, using puns, slang, jargon, acronyms, and misused words. Structured Where was X born? Unstructured One day, from among his city views of Ulm, Otto chose a water color to send to Albert Einstein as a remembrance of Einstein s birthplace. Un dia, viendo la ciudad de Ulm, Otto escogio una acuarela para enviarsela a Albert Einstein como un recuerdo del lugar de naciemiento de Einstein. X ran this? If leadership is an art then surely Jack Welch has proved himself a master painter during his tenure at GE. Si el liderazgo es un arte, con toda seguridad Jack Welch ha demostrado ser un excelente artista durante su vinculacion a GE.

6 The Jeopardy! Challenge: A compelling way to conclusively demonstrate the technology of automatic Question Answering along 5 Key Dimensions Broad/Open Domain Complex Language High Precision Accurate Confidence High Speed $200 Si esta de pie, es la direccion en la cual debe mirear para ver el guardaexcoba. $600 En la division celular, la mitosis divide el nucleo y la citokinesis divide este liquido que protege el nucleo. $1000 La primera persona que se menciona por su nombre en El Hombre de la Mascara de Hierro es este heroe de un libro anterior de historietas del mismo autor $2000 De los 4 paises en el mundo con los cuales los Estados Unidos no mantiene relaciones diplomaticas, cual es el que esta ubicado mas al norte?

7 Watson an IBM Power 750 System Watson consists of 2,880 Power 7 Processor cores One question can take 2 hours on a single processor but must answer in 2-4 seconds 15 Terabytes RAM memory 500 Gigabytes of accumulated human knowledge in natural language text No connection to the internet 80 Teraflops 80 kw Power consumption w 25 tons of air conditioning 7

8 Broad Domain We do NOT attempt to anticipate all questions and build specialized databases. In a random sample of 20,000 questions we found 2,500 distinct types*. The most frequent occurring <3% of the timthe distribution has a very long tail. And for each these types 1000 s of different things may be asked. Even going for the head of the tail will barely make a dent *13% are non-distinct (e.g., it, this, these or NA) Our Focus is on reusable Natural Language Processing technology for analyzing volumes of as-is text. 8

9 Question DeepQA: The Technology Behind Watson Massively Parallel Probabilistic Evidence-Based Architecture Natural Language Text Analytics Solution Hypothesis and Evidence Profiles Machine Learning Question & Topic Analysis Primary Search Multiple Interpretations Answer Sources 100 s sources Question Decomposition Candidate Answer Generation 100 s Possible Answers Hypothesis Generation Answer Scoring 1000 s of Pieces of Evidence Evidence Sources Evidence Retrieval Hypothesis and Evidence Scoring Deep Evidence Scoring 100,000 s Scores from many Deep Analysis Algorithms Synthesis Learned Models help combine and weigh the Evidence Balance& Combine Models Models Models Models Models Models Final Confidence Merging & Ranking Analitica de Texto con Lenguage Natural Hipotesis y Perfiles de Evidencia La Maquina Aprende Answer & Confidence

10 Automatic Learning From Reading Sentence Parsing Generalization & Statistical Aggregation Volumes of Text Syntactic Frames subject verb object Semantic Frames Inventors patent inventions (.8) Officials Submit Resignations (.7) People earn degrees at schools (0.9) Fluid is a liquid (.6) Liquid is a fluid (.5) Vessels Sink (0.7) People sink 8-balls (0.5) (in pool/0.8)

11 Evaluating Possibilities and Their Evidence In cell division, mitosis splits the nucleus & cytokinesis splits this liquid cushioning the nucleus. En la division celular, la mitosis divide el nucleo y la citokinesis divide este liquido que protege el nucleo. Organelle Vacuole Cytoplasm Plasma Mitochondria Blood Is( Cytoplasm, liquid ) = 0.2 Is( organelle, liquid ) = 0.1 Is( vacuole, liquid ) = 0.2 Is( plasma, liquid ) = 0.7 Many candidate answers (CAs) are generated from many different searches Each possibility is evaluated according to different dimensions of evidence. Just One piece of evidence is the right type. In this case a liquid. Cytoplasm is a fluid surrounding the nucleus Wordnet Is_a(Fluid, Liquid)? Learned Is_a(Fluid, Liquid) yes.

12 Keyword Evidence In May 1898 Portugal celebrated the 400th anniversary of this explorer s arrival in India. En Mayo de 1898 Portugal celebro el 400 aniversario de la llegada de este explorador a la India. In May, Gary arrived in India after he celebrated his anniversary in Portugal. En Mayo, Gary llego a la India luego de celebrar su aniversario en Portugal. llego celebrao Keyword Matching celebrar In Mayo 1898 Keyword Matching In Mayo 400th aniversario Keyword Matching aniversario This evidence suggests Gary is the answer BUT the system must learn that keyword matching may be weak relative to other types of evidence Portugal llegada India explorerador Keyword Matching Keyword Matching Gary India in Portugal 12 IBM Confidential

13 Deeper Evidence In May 1898 Portugal celebrated the 400th anniversary of this explorer s arrival in India. En Mayo de 1898 Portugal celebro el 400 aniversario de la llegada de este explorador a la India. On the 27 th of May 1498, Vasco da Gama landed in Kappad Beach. El 27 de Mayo de 1498, Vasco da Gama arribo a la playa de Kappad. Search Far and Wide celebro Portugal Explore many hypotheses Find Judge Evidence arribo Mayo th aniversario Many inference algorithms Temporal Reasoning Date Math 27th Mayo 1498 Stronger evidence can be much harder to find and score. llegada India explorador Statistical Paraphrasing GeoSpatial Reasoning Paraphrase s Geo- KB The evidence is still not 100% certain. Playa de Kappad Vasco da Gama 13

14 Evidence: Time, Popularity, Source, Classification etc. Clue: You ll find Bethel College and a Seminary in this holy Minnesota city. Podra encontrar la Universidad de Bethel y un Seminario en esta ciudad sagrada de Minnessota. There s a Bethel College and a Seminary in both cities. System is not weighing location evidence high enough to give St. Paul the edge.

15 Evidence: Puns Clue: You ll find Bethel College and a Seminary in this holy Minnesota city. Podra encontrar la Universidad de Bethel y un Seminario en esta ciudad sagrada de Minnessota. Humans may get this based on the pun since St. Paul since is a holy city. We added a Pun Scorer that discovers and scores Pun relationships.

16 DeepQA: Incremental Progress in Answering Precision on the Jeopardy Challenge: 6/ /2010 IBM Watson Playing in the Winners Cloud v0.8 11/10 V0.7 04/10 v0.6 10/09 v0.5 05/09 v0.4 12/08 v0.3 08/08 v0.2 05/08 v0.1 12/07 Baseline 12/06

17 Potential Business Applications Healthcare / Life Sciences: Diagnostic Assistance, Evidenced- Based, Collaborative Medicine Tech Support: Help-desk, Contact Centers Enterprise Knowledge Management and Business Intelligence Government: Improved Information Sharing and Security

18 DeepQA in Continuous Evidence-Based Diagnostic Analysis Symptoms Considers and synthesizes a broad range of evidence improving quality, reducing cost Diagnosis Models Fin d M ed s Hist Fa m Symp Confidence Family History Patient History Medications Tests/Findings Renal failure UTI Diabetes Notes/Hypotheses Influenza hypokalemia esophogitis Most Confident Diagnosis: Diabetes UTI Influenza Most Confident Diagnosis: Diabetes and Esophogitis Huge Volumes of Texts, Journals, References, DBs etc.

19 Imagine if you had all the answers you need to win IBM Business Analytics and Optimization solutions can ensure that you do Used by Watson Related Innovations IBM Content Analytics Natural Language Processing and content analysis leveraging UIMA InfoSphere BigInsights Big Data analysis (Hadoop) IBM Power Systems Thousands of parallel processes InfoSphere Warehouse DB2, Informix, Netezza Aggregating and storing data and content InfoSphere Streams Massively parallel analysis Business Analytics BI, Predictive Analytics and more ECM Solutions IBM ediscovery Analyzer IBM Classification Module IBM OmniFind Enterprise Search Workload Optimized Systems Integrated, Optimized by Workload IBM Global Business Services Research, expertise and analytical assets

20 IBM Business Analytics and Optimization Solutions enable you apply capabilities like those in Watson to optimize your business IBM is uniquely qualified to help you Plan an Information Agenda Master Your Information Apply Business Analytics to align with your business strategy to ensure it is accurate, relevant and governed to anticipate and shape business outcomes IBM Corporation

21 GRACIAS IBM Confidential

WATSON. Michael Dundek Industry Architect. Best Student Recognition Event July 6-8, 2011 EMEA IBM Innovation Center La Gaude, France

WATSON. Michael Dundek Industry Architect. Best Student Recognition Event July 6-8, 2011 EMEA IBM Innovation Center La Gaude, France WATSON Michael Dundek Industry Architect Best Student Recognition Event July 6-8, 2011 EMEA IBM Innovation Center La Gaude, France Want to Play Chess or Just Chat? Chess A finite, mathematically well-defined

More information

IBM Watson : Beyond playing Jeopardy!

IBM Watson : Beyond playing Jeopardy! IBM Watson : Beyond playing Jeopardy! Katharine Frase, VP Industries Research, IBM with thanks to: David Ferrucci, Principal Investigator, DeepQA Team @ IBM Research April 24, 2012 Want to Play Chess or

More information

What is Watson An Overview

What is Watson An Overview What is Watson An Overview Michael Perrone Mgr., Multicore Computing IBM TJ Watson Research Center With special thanks to the IBM Research DeepQA Team! Informed Decision Making: Search vs. Expert Q&A Decision

More information

Putting IBM Watson to Work In Healthcare

Putting IBM Watson to Work In Healthcare Martin S. Kohn, MD, MS, FACEP, FACPE Chief Medical Scientist, Care Delivery Systems IBM Research marty.kohn@us.ibm.com Putting IBM Watson to Work In Healthcare 2 SB 1275 Medical data in an electronic or

More information

MAN VS. MACHINE. How IBM Built a Jeopardy! Champion. 15.071x The Analytics Edge

MAN VS. MACHINE. How IBM Built a Jeopardy! Champion. 15.071x The Analytics Edge MAN VS. MACHINE How IBM Built a Jeopardy! Champion 15.071x The Analytics Edge A Grand Challenge In 2004, IBM Vice President Charles Lickel and coworkers were having dinner at a restaurant All of a sudden,

More information

Unlocking Big Data: The Power of Cognitive Computing. James Kobielus, IBM

Unlocking Big Data: The Power of Cognitive Computing. James Kobielus, IBM Unlocking Big Data: The Power of Cognitive Computing James Kobielus, IBM James Kobielus IBM's big data evangelist IBM senior program director for product marketing in big data analytics Editor-in-chief

More information

How Big Data and Artificial Intelligence Change the Game for. presented by Jamie Bisker Senior Analyst, P&C Insurance Aite Group

How Big Data and Artificial Intelligence Change the Game for. presented by Jamie Bisker Senior Analyst, P&C Insurance Aite Group How Big Data and Artificial Intelligence Change the Game for Insurance Professionals presented by Jamie Bisker Senior Analyst, P&C Insurance Aite Group Innovation Provocateur November 2014 Agenda Opening

More information

Putting Analytics to Work In Healthcare

Putting Analytics to Work In Healthcare Martin S. Kohn, MD, MS, FACEP, FACPE Chief Medical Scientist, Care Delivery Systems IBM Research marty.kohn@us.ibm.com Putting Analytics to Work In Healthcare 2012 International Business Machines Corporation

More information

» A Hardware & Software Overview. Eli M. Dow

» A Hardware & Software Overview. Eli M. Dow <emdow@us.ibm.com:> » A Hardware & Software Overview Eli M. Dow Overview:» Hardware» Software» Questions 2011 IBM Corporation Early implementations of Watson ran on a single processor where it took 2 hours

More information

A Strategic Approach to Unlock the Opportunities from Big Data

A Strategic Approach to Unlock the Opportunities from Big Data A Strategic Approach to Unlock the Opportunities from Big Data Yue Pan, Chief Scientist for Information Management and Healthcare IBM Research - China [contacts: panyue@cn.ibm.com ] Big Data or Big Illusion?

More information

IBM Big Data in Government

IBM Big Data in Government IBM Big in Government Turning big data into smarter decisions Deepak Mohapatra Sr. Consultant Government IBM Software Group dmohapatra@us.ibm.com The Big Paradigm Shift 2 Big Creates A Challenge And an

More information

Watson. An analytical computing system that specializes in natural human language and provides specific answers to complex questions at rapid speeds

Watson. An analytical computing system that specializes in natural human language and provides specific answers to complex questions at rapid speeds Watson An analytical computing system that specializes in natural human language and provides specific answers to complex questions at rapid speeds I.B.M. OHJ-2556 Artificial Intelligence Guest lecturing

More information

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS! The Bloor Group IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS VENDOR PROFILE The IBM Big Data Landscape IBM can legitimately claim to have been involved in Big Data and to have a much broader

More information

Big Data, Analytics, Intelligence: Potenziale und Nutzen

Big Data, Analytics, Intelligence: Potenziale und Nutzen Dr. Matthias Kaiserswerth Vice President, Europe and Director, IBM Research Big Data, Analytics, Intelligence: Potenziale und Nutzen Market Forces Driving Health Care Transformation Source: If applicable,

More information

The Big Data Revolution: welcome to the Cognitive Era.

The Big Data Revolution: welcome to the Cognitive Era. The Big Data Revolution: welcome to the Cognitive Era. Yves Eychenne, Cloud Advisor, IBM Email: yves.eychenne@fr.ibm.com @yeychenne 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Agenda Big Data and

More information

Dr. John E. Kelly III Senior Vice President, Director of Research. Differentiating IBM: Research

Dr. John E. Kelly III Senior Vice President, Director of Research. Differentiating IBM: Research Dr. John E. Kelly III Senior Vice President, Director of Research Differentiating IBM: Research IBM Research Priorities Impact on IBM and the Marketplace Globalization and Leverage Balanced Research Agenda

More information

IBM Netezza High Capacity Appliance

IBM Netezza High Capacity Appliance IBM Netezza High Capacity Appliance Petascale Data Archival, Analysis and Disaster Recovery Solutions IBM Netezza High Capacity Appliance Highlights: Allows querying and analysis of deep archival data

More information

Big Data & Analytics for Semiconductor Manufacturing

Big Data & Analytics for Semiconductor Manufacturing Big Data & Analytics for Semiconductor Manufacturing 半 導 体 生 産 におけるビッグデータ 活 用 Ryuichiro Hattori 服 部 隆 一 郎 Intelligent SCM and MFG solution Leader Global CoC (Center of Competence) Electronics team General

More information

Watson, what s on, what s next?

Watson, what s on, what s next? Watson, what s on, what s next? Mikael Haglund CTO, IBM Sweden mikael.haglund@se.ibm.com about.me/mikaelhaglund 2 2013 IBM Corporation Sinnen Kognitiva System Hjärnliknande chips Cognitive Computing Do

More information

Auto Classification and the Holy Grail for Records Managers

Auto Classification and the Holy Grail for Records Managers Auto Classification and the Holy Grail for Records Managers Doug Magnuson Information Lifecycle Governance Solution Leader for North America 1 Focus since 1997 IBM Information Lifecycle Governance Solutions

More information

Technology and Trends for Smarter Business Analytics

Technology and Trends for Smarter Business Analytics Don Campbell Chief Technology Officer, Business Analytics, IBM Technology and Trends for Smarter Business Analytics Business Analytics software Where organizations are focusing Business Analytics Enhance

More information

III JORNADAS DE DATA MINING

III JORNADAS DE DATA MINING III JORNADAS DE DATA MINING EN EL MARCO DE LA MAESTRÍA EN DATA MINING DE LA UNIVERSIDAD AUSTRAL PRESENTACIÓN TECNOLÓGICA IBM Alan Schcolnik, Cognos Technical Sales Team Leader, IBM Software Group. IAE

More information

Andre Standback. IT 103, Sec. 001 2/21/12. IBM s Watson. GMU Honor Code on http://academicintegrity.gmu.edu/honorcode/. I am fully aware of the

Andre Standback. IT 103, Sec. 001 2/21/12. IBM s Watson. GMU Honor Code on http://academicintegrity.gmu.edu/honorcode/. I am fully aware of the Andre Standback IT 103, Sec. 001 2/21/12 IBM s Watson "By placing this statement on my webpage, I certify that I have read and understand the GMU Honor Code on http://academicintegrity.gmu.edu/honorcode/.

More information

Sources: Summary Data is exploding in volume, variety and velocity timely

Sources: Summary Data is exploding in volume, variety and velocity timely 1 Sources: The Guardian, May 2010 IDC Digital Universe, 2010 IBM Institute for Business Value, 2009 IBM CIO Study 2010 TDWI: Next Generation Data Warehouse Platforms Q4 2009 Summary Data is exploding

More information

Cognitive z. Mathew Thoennes IBM Research System z Research June 13, 2016

Cognitive z. Mathew Thoennes IBM Research System z Research June 13, 2016 Cognitive z Mathew Thoennes IBM Research System z Research June 13, 2016 Agenda What is Cognitive? Watson Explorer Overview Demo What is cognitive? Cognitive analytics - A set of technologies and processes

More information

LEARNING MASTERS. Explore the Northeast

LEARNING MASTERS. Explore the Northeast LEARNING MASTERS Explore the Northeast Explore the Northeast BUILD BACKGROUND Reading Expeditions: Language, Literacy & Vocabulary Five Regions Map Use the information on page 4 of Explore the Northeast

More information

BMW11: Dealing with the Massive Data Generated by Many-Core Systems. Dr Don Grice. 2011 IBM Corporation

BMW11: Dealing with the Massive Data Generated by Many-Core Systems. Dr Don Grice. 2011 IBM Corporation BMW11: Dealing with the Massive Data Generated by Many-Core Systems Dr Don Grice IBM Systems and Technology Group Title: Dealing with the Massive Data Generated by Many Core Systems. Abstract: Multi-core

More information

What you can accomplish with IBMContent Analytics

What you can accomplish with IBMContent Analytics What you can accomplish with IBMContent Analytics An Enterprise Content Management solution What is IBM Content Analytics? Alex On February 14-16, IBM s Watson computing system made its television debut

More information

LINIO COLOMBIA. Starting-Up & Leading E-Commerce. www.linio.com.co. Luca Ranaldi, CEO. Pedro Freire, VP Marketing and Business Development

LINIO COLOMBIA. Starting-Up & Leading E-Commerce. www.linio.com.co. Luca Ranaldi, CEO. Pedro Freire, VP Marketing and Business Development LINIO COLOMBIA Starting-Up & Leading E-Commerce Luca Ranaldi, CEO Pedro Freire, VP Marketing and Business Development 22 de Agosto 2013 www.linio.com.co QUÉ ES LINIO? Linio es la tienda online #1 en Colombia

More information

Auto-Classification for Document Archiving and Records Declaration

Auto-Classification for Document Archiving and Records Declaration Auto-Classification for Document Archiving and Records Declaration Josemina Magdalen, Architect, IBM November 15, 2013 Agenda IBM / ECM/ Content Classification for Document Archiving and Records Management

More information

IBM Watson and Medical Records Text Analytics HIMSS Presentation

IBM Watson and Medical Records Text Analytics HIMSS Presentation IBM Watson and Medical Records Text Analytics HIMSS Presentation Thomas Giles, IBM Industry Solutions - Healthcare Randall Wilcox, IBM Industry Solutions - Emerging Technology jstart The Next Grand Challenge

More information

Ask your child what he or she is learning to say in Spanish at school. Encourage your child to act as if he or she is your teacher.

Ask your child what he or she is learning to say in Spanish at school. Encourage your child to act as if he or she is your teacher. Welcome to Descubre el español con Santillana! This year, your child will be learning Spanish by exploring the culture of eight Spanish-speaking countries. Please join us as we travel through each of the

More information

IBM's Watson could usher in new era of ALS research and medicine http://www.ibm.com/smarterplanet/us/en/healthcare_soluti ons/ideas/index.html?

IBM's Watson could usher in new era of ALS research and medicine http://www.ibm.com/smarterplanet/us/en/healthcare_soluti ons/ideas/index.html? IBM's Watson could usher in new era of ALS research and medicine http://www.ibm.com/smarterplanet/us/en/healthcare_soluti ons/ideas/index.html?re=cs1 By Sharon Gaudin February 17, 2011 06:00 AM ET IBM's

More information

Cognitive Computing. 16 June 2016

Cognitive Computing. 16 June 2016 Cognitive Computing 16 June 2016 DI Wolfgang Nimführ Watson Ambassador Business Development Executive IBM Analytics Group Client Success Region Austria-Germany-Switzerland 2016 International Business Machines

More information

Customized Report- Big Data

Customized Report- Big Data GINeVRA Digital Research Hub Customized Report- Big Data 1 2014. All Rights Reserved. Agenda Context Challenges and opportunities Solutions Market Case studies Recommendations 2 2014. All Rights Reserved.

More information

IBM Announces Eight Universities Contributing to the Watson Computing System's Development

IBM Announces Eight Universities Contributing to the Watson Computing System's Development IBM Announces Eight Universities Contributing to the Watson Computing System's Development Press release Related XML feeds Contact(s) information Related resources ARMONK, N.Y. - 11 Feb 2011: IBM (NYSE:

More information

IBM Content Analytics with Enterprise Search, Version 3.0

IBM Content Analytics with Enterprise Search, Version 3.0 IBM Content Analytics with Enterprise Search, Version 3.0 Highlights Enables greater accuracy and control over information with sophisticated natural language processing capabilities to deliver the right

More information

Beyond Watson: The Business Implications of Big Data

Beyond Watson: The Business Implications of Big Data Beyond Watson: The Business Implications of Big Data Shankar Venkataraman IBM Program Director, STSM, Big Data August 10, 2011 The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT

More information

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time SCALEOUT SOFTWARE How In-Memory Data Grids Can Analyze Fast-Changing Data in Real Time by Dr. William Bain and Dr. Mikhail Sobolev, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T wenty-first

More information

Real World Use of BIG DATA. Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013

Real World Use of BIG DATA. Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013 Real World Use of BIG DATA Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013 Building a smarter planet Gaining Insight from your Information

More information

What is Artificial Intelligence?

What is Artificial Intelligence? CSE 3401: Intro to Artificial Intelligence & Logic Programming Introduction Required Readings: Russell & Norvig Chapters 1 & 2. Lecture slides adapted from those of Fahiem Bacchus. 1 What is AI? What is

More information

TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS

TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS 9 8 TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS Assist. Prof. Latinka Todoranova Econ Lit C 810 Information technology is a highly dynamic field of research. As part of it, business intelligence

More information

Data Refinery with Big Data Aspects

Data Refinery with Big Data Aspects International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 7 (2013), pp. 655-662 International Research Publications House http://www. irphouse.com /ijict.htm Data

More information

IBM System x reference architecture solutions for big data

IBM System x reference architecture solutions for big data IBM System x reference architecture solutions for big data Easy-to-implement hardware, software and services for analyzing data at rest and data in motion Highlights Accelerates time-to-value with scalable,

More information

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances Highlights IBM Netezza and SAS together provide appliances and analytic software solutions that help organizations improve

More information

Using In-Memory Computing to Simplify Big Data Analytics

Using In-Memory Computing to Simplify Big Data Analytics SCALEOUT SOFTWARE Using In-Memory Computing to Simplify Big Data Analytics by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T he big data revolution is upon us, fed

More information

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data IBM Software Group Important Disclaimer THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL

More information

Ranking de Universidades de Grupo of Eight (Go8)

Ranking de Universidades de Grupo of Eight (Go8) En consecuencia con el objetivo del programa Becas Chile el cual busca a través de la excelencia de las instituciones y programas académicos de destino cerciorar que los becarios estudien en las mejores

More information

Ask your child what he or she is learning to say in Spanish at school. Encourage your child to act as if he or she is your teacher.

Ask your child what he or she is learning to say in Spanish at school. Encourage your child to act as if he or she is your teacher. Welcome to Descubre el español con Santillana! This year, your child will be learning Spanish by exploring the culture of eight Spanish-speaking countries. Please join us as we travel through each of the

More information

Driving Business Value with Big Data and Analytics

Driving Business Value with Big Data and Analytics Emily Plachy informsny September 17, 2014 Driving Business Value with Big Data and Analytics Business Analytics Transformation Making IBM a Smarter Enterprise Agenda Case studies Human Resources: Detect

More information

Course Information. CSE 392, Computers Playing Jeopardy!, Fall 2011. http://www.cs.stonybrook.edu/~cse392

Course Information. CSE 392, Computers Playing Jeopardy!, Fall 2011. http://www.cs.stonybrook.edu/~cse392 CSE392 - Computers playing Jeopardy! Course Information CSE 392, Computers Playing Jeopardy!, Fall 2011 Stony Brook University http://www.cs.stonybrook.edu/~cse392 Course Description IBM Watson is a computer

More information

Sales Management Main Features

Sales Management Main Features Sales Management Main Features Optional Subject (4 th Businesss Administration) Second Semester 4,5 ECTS Language: English Professor: Noelia Sánchez Casado e-mail: noelia.sanchez@upct.es Objectives Description

More information

IoT Analytics: Four Key Essentials and Four Target Industries

IoT Analytics: Four Key Essentials and Four Target Industries IoT Analytics: Four Key Essentials and Four Target Industries 1 Introduction Analysts and IT personnel across all industries seek technology to better engage and manage data generated by the Internet of

More information

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Richard Breakiron Senior Director, Cyber Solutions Rbreakiron@vion.com Office: 571-353-6127 / Cell: 803-443-8002

More information

CSC384 Intro to Artificial Intelligence

CSC384 Intro to Artificial Intelligence CSC384 Intro to Artificial Intelligence What is Artificial Intelligence? What is Intelligence? Are these Intelligent? CSC384, University of Toronto 3 What is Intelligence? Webster says: The capacity to

More information

Spanish GCSE Student Guide

Spanish GCSE Student Guide Spanish GCSE Student Guide Is this the right subject for me? If you enjoy meeting and talking to people from other countries, finding out about their cultures and learning how language works, then studying

More information

IBM Watson s Next Step: Health. All About the Data January 21 st 2016, Groningen

IBM Watson s Next Step: Health. All About the Data January 21 st 2016, Groningen IBM Watson s Next Step: Health All About the Data January 21 st 2016, Groningen Introduction speaker Dr Nicky S. Hekster Technical Leader Healthcare & LifeSciences IBM Nederland BV Johan Huizingalaan 765

More information

White Paper. Version 1.2 May 2015 RAID Incorporated

White Paper. Version 1.2 May 2015 RAID Incorporated White Paper Version 1.2 May 2015 RAID Incorporated Introduction The abundance of Big Data, structured, partially-structured and unstructured massive datasets, which are too large to be processed effectively

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

IBM PureSystems: Familia de Sistemas Expertos Integrados

IBM PureSystems: Familia de Sistemas Expertos Integrados IBM PureSystems: Familia de Sistemas Expertos Integrados Carlos Etchart Sales Support Specialist IBM Está IT listo para el Cambio? New server spending Power & cooling costs Server mgmt & admin costs 2013

More information

Getting the most out of big data

Getting the most out of big data IBM Software White Paper Financial Services Getting the most out of big data How banks can gain fresh customer insight with new big data capabilities 2 Getting the most out of big data Banks thrive on

More information

A financial software company

A financial software company A financial software company Projecting USD10 million revenue lift with the IBM Netezza data warehouse appliance Overview The need A financial software company sought to analyze customer engagements to

More information

Tap into Big Data at the Speed of Business

Tap into Big Data at the Speed of Business SAP Brief SAP Technology SAP Sybase IQ Objectives Tap into Big Data at the Speed of Business A simpler, more affordable approach to Big Data analytics A simpler, more affordable approach to Big Data analytics

More information

BIG Data Analytics Move to Competitive Advantage

BIG Data Analytics Move to Competitive Advantage BIG Data Analytics Move to Competitive Advantage where is technology heading today Standardization Open Source Automation Scalability Cloud Computing Mobility Smartphones/ tablets Internet of Things Wireless

More information

BtoB MKT Trends. El Escenario Online. Luciana Sario. Gerente de Marketing IDC Latin America 2009 IDC W W W. I D C. C O M / G M S 1

BtoB MKT Trends. El Escenario Online. Luciana Sario. Gerente de Marketing IDC Latin America 2009 IDC W W W. I D C. C O M / G M S 1 BtoB MKT Trends El Escenario Online Luciana Sario Gerente de Marketing IDC Latin America 2009 IDC W W W. I D C. C O M / G M S 1 Audio Test Estamos haciendo un Audio Test y estoy hablando en este momento

More information

Increase Revenue THE JOURNEY TO BIG DATA. Gary Evans. CTO EMC Ireland. Twitter.com/Gary3vans. Copyright 2013 EMC Corporation. All rights reserved.

Increase Revenue THE JOURNEY TO BIG DATA. Gary Evans. CTO EMC Ireland. Twitter.com/Gary3vans. Copyright 2013 EMC Corporation. All rights reserved. THE JOURNEY TO BIG DATA Increase Revenue Gary Evans CTO EMC Ireland Twitter.com/Gary3vans 1 THE VALUE OF BIG DATA VARIETY VELOCITY BIG DATA VOLUME COMPLEXITY organizations can earn an incremental ROI of

More information

demonstrates competence in

demonstrates competence in AP SPANISH LANGUAGE 2012 INTERPERSONAL WRITING SCORING GUIDELINES SCORE DESCRIPTION TASK COMPLETION/TOPIC DEVELOPMENT LANGUAGE USE 5 excellence 4 command 3 competence 2 Suggests lack of competence 1 lack

More information

Day at a Glance. Los Alamos National Labs: IBM Big Data Briefing. Los Alamos Research Park, Room 203A. Thursday, August 15, 2013

Day at a Glance. Los Alamos National Labs: IBM Big Data Briefing. Los Alamos Research Park, Room 203A. Thursday, August 15, 2013 Day at a Glance Los Alamos National Labs: IBM Big Data Briefing Los Alamos Research Park, Room 203A Thursday, August 15, 2013 8:00-9:00 Registration & Check-In 9:00-9:15 Welcome Opening Remarks David Wiseman

More information

Big Data and Analytics 21 A Technical Perspective Abhishek Bhattacharya, Aditya Gandhi and Pankaj Jain November 2012

Big Data and Analytics 21 A Technical Perspective Abhishek Bhattacharya, Aditya Gandhi and Pankaj Jain November 2012 Big Data and Analytics 21 A Technical Perspective Abhishek Bhattacharya, Aditya Gandhi and Pankaj Jain November 2012 Between the dawn of civilization and 2003, the human race created 5 exabytes of data

More information

IBM Business Analytics and Optimization The Path to Breakaway Performance

IBM Business Analytics and Optimization The Path to Breakaway Performance Oliver Oursin Worldwide Product, Business Intelligence and EMEA Presales Executive - IBM Business Analytics IBM Business Analytics and Optimization The Path to Breakaway Performance Portorož, November

More information

Focus on the business, not the business of data warehousing!

Focus on the business, not the business of data warehousing! Focus on the business, not the business of data warehousing! Adam M. Ronthal Technical Product Marketing and Strategy Big Data, Cloud, and Appliances @ARonthal 1 Disclaimer Copyright IBM Corporation 2014.

More information

Global Technology Outlook 2011

Global Technology Outlook 2011 Global Technology Outlook 2011 Global Technology Outlook 2011 Since 1982, The Global Technology Outlook had identified significant technology trends five to even 10 years before they have come to realization.

More information

Tiene una mesa para cuatro?

Tiene una mesa para cuatro? February 17th, 2007 In this edition: visiting the restaurant and ordering food Lesson 17 Notes CoffeeBreakSpanish.com Tiene una mesa para cuatro? Lesson 17 Programme Notes Welcome to Coffee Break Spanish,

More information

Using Ultra-Large Data Sets in Healthcare New Questions-New Answers

Using Ultra-Large Data Sets in Healthcare New Questions-New Answers Using Ultra-Large Data Sets in Healthcare New Questions-New Answers David Hartzband, D.Sc.. Director, Technology Research, RCHN Community Health Foundation & Lecturer, Engineering Systems Division Massachusetts

More information

AP SPANISH LANGUAGE 2011 PRESENTATIONAL WRITING SCORING GUIDELINES

AP SPANISH LANGUAGE 2011 PRESENTATIONAL WRITING SCORING GUIDELINES AP SPANISH LANGUAGE 2011 PRESENTATIONAL WRITING SCORING GUIDELINES SCORE DESCRIPTION TASK COMPLETION TOPIC DEVELOPMENT LANGUAGE USE 5 Demonstrates excellence 4 Demonstrates command 3 Demonstrates competence

More information

DIPLOMADO DE JAVA - OCA

DIPLOMADO DE JAVA - OCA DIPLOMADO DE JAVA - OCA TABLA DE CONTENIDO INTRODUCCION... 3 ESTRUCTURA DEL DIPLOMADO... 4 Nivel I:... 4 Fundamentals of the Java Programming Language Java SE 7... 4 Introducing the Java Technology...

More information

Big Data and Trusted Information

Big Data and Trusted Information Dr. Oliver Adamczak Big Data and Trusted Information CAS Single Point of Truth 7. Mai 2012 The Hype Big Data: The next frontier for innovation, competition and productivity McKinsey Global Institute 2012

More information

ANALYTICS STRATEGY: creating a roadmap for success

ANALYTICS STRATEGY: creating a roadmap for success ANALYTICS STRATEGY: creating a roadmap for success Companies in the capital and commodity markets are looking at analytics for opportunities to improve revenue and cost savings. Yet, many firms are struggling

More information

Big Data: Study in Structured and Unstructured Data

Big Data: Study in Structured and Unstructured Data Big Data: Study in Structured and Unstructured Data Motashim Rasool 1, Wasim Khan 2 mail2motashim@gmail.com, khanwasim051@gmail.com Abstract With the overlay of digital world, Information is available

More information

Manejo Basico del Servidor de Aplicaciones WebSphere Application Server 6.0

Manejo Basico del Servidor de Aplicaciones WebSphere Application Server 6.0 Manejo Basico del Servidor de Aplicaciones WebSphere Application Server 6.0 Ing. Juan Alfonso Salvia Arquitecto de Aplicaciones IBM Uruguay Slide 2 of 45 Slide 3 of 45 Instalacion Basica del Server La

More information

CELEBRA EL AÑO NUEVO CHINO LESSON PLAN FOR GRADES K 2

CELEBRA EL AÑO NUEVO CHINO LESSON PLAN FOR GRADES K 2 CELEBRA EL AÑO NUEVO CHINO LESSON PLAN FOR GRADES K 2 Book/Text Set: Celebra el Año Nuevo Chino con la familia Fong / Qué es el Año Nuevo Chino? By F. Isabel Campoy and Alma Flor Ada Content Overview:

More information

IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse

IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse IBM Analytics Just the facts: Four critical concepts for planning the logical data warehouse 1 2 3 4 5 6 Introduction Complexity Speed is businessfriendly Cost reduction is crucial Analytics: The key to

More information

Web Data Mining: A Case Study. Abstract. Introduction

Web Data Mining: A Case Study. Abstract. Introduction Web Data Mining: A Case Study Samia Jones Galveston College, Galveston, TX 77550 Omprakash K. Gupta Prairie View A&M, Prairie View, TX 77446 okgupta@pvamu.edu Abstract With an enormous amount of data stored

More information

Vivir en un mar de Datos 2015: Big Data una mirada Global Fundación Telefónica

Vivir en un mar de Datos 2015: Big Data una mirada Global Fundación Telefónica RETHINK big Project Consuelo GONZALO MARTÍN UNIVERSIDAD POLITÉCNICA DE MADRID 24 March 2015 Vivir en un mar de Datos 2015: Big Data una mirada Global Fundación Telefónica www.rethinkbig-project.eu This

More information

Getting Started Practical Input For Your Roadmap

Getting Started Practical Input For Your Roadmap Getting Started Practical Input For Your Roadmap Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike Ferguson

More information

Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems

Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Volker Markl volker.markl@tu-berlin.de dima.tu-berlin.de dfki.de/web/research/iam/ bbdc.berlin Based on my 2014 Vision Paper On

More information

Keywords: Big Data, HDFS, Map Reduce, Hadoop

Keywords: Big Data, HDFS, Map Reduce, Hadoop Volume 5, Issue 7, July 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Configuration Tuning

More information

SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise

SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise Frequently Asked Questions SAP HANA Vora SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise SAP HANA Vora software enables digital businesses to innovate and compete through in-the-moment

More information

Teaching Analy-cs, Big Data and Sustainability: An IS perspec-ve

Teaching Analy-cs, Big Data and Sustainability: An IS perspec-ve Teaching Analy-cs, Big Data and Sustainability: An IS perspec-ve Raja Sooriamurthi / Randy Weinberg Informa(on Systems Program Carnegie Mellon University {raja,rweinberg}@cmu.edu Presenta-on Outline The

More information

OS Thread Monitoring for DB2 Server Mathias Hoffmann, ITGAIN. Locking and Concurrency Troubleshooting Ani Patel, IBM Toronto Labs

OS Thread Monitoring for DB2 Server Mathias Hoffmann, ITGAIN. Locking and Concurrency Troubleshooting Ani Patel, IBM Toronto Labs MWDUG - LUW Track Mar 27, 2011 Jim Strand Information Mgmt Architect jdstrand@us.ibm.com 0 Agenda 8:30am - 9:00am Registration: Coffee and juice 9:00am - 9:15am IBM Topics 9:15am - 10:30am 10:30am - 10:45am

More information

A Hurwitz white paper. Inventing the Future. Judith Hurwitz President and CEO. Sponsored by Hitachi

A Hurwitz white paper. Inventing the Future. Judith Hurwitz President and CEO. Sponsored by Hitachi Judith Hurwitz President and CEO Sponsored by Hitachi Introduction Only a few years ago, the greatest concern for businesses was being able to link traditional IT with the requirements of business units.

More information

IBM Big Data Platform

IBM Big Data Platform IBM Big Data Platform Turning big data into smarter decisions Stefan Söderlund. IBM kundarkitekt, Försvarsmakten Sesam vår-seminarie Big Data, Bigga byte kräver Pigga Hertz! May 16, 2013 By 2015, 80% of

More information

OFFICE OF COMMON INTEREST COMMUNITY OMBUDSMAN CIC#: DEPARTMENT OF JUSTICE

OFFICE OF COMMON INTEREST COMMUNITY OMBUDSMAN CIC#: DEPARTMENT OF JUSTICE RETURN THIS FORM TO: FOR OFFICIAL USE: (Devuelva Este Formulario a): (Para Uso Oficial) OFFICE OF COMMON INTEREST COMMUNITY OMBUDSMAN CIC#: DEPARTMENT OF JUSTICE (Caso No) STATE OF DELAWARE Investigator:

More information

SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform

SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform David Lawler, Oracle Senior Vice President, Product Management and Strategy Paul Kent, SAS Vice President, Big Data What

More information

Cognitive APIs - The Building Blocks for Smarter Apps

Cognitive APIs - The Building Blocks for Smarter Apps ITM 1.6 Cognitive APIs - The Building Blocks for Smarter Apps Andy Boyd Senior Product Manager IBM Watson Developer Cloud 1 Data Center World Certified Vendor Neutral Each presenter is required to certify

More information

IBM Data Warehousing and Analytics Portfolio Summary

IBM Data Warehousing and Analytics Portfolio Summary IBM Information Management IBM Data Warehousing and Analytics Portfolio Summary Information Management Mike McCarthy IBM Corporation mmccart1@us.ibm.com IBM Information Management Portfolio Current Data

More information

Exploiting Data at Rest and Data in Motion with a Big Data Platform

Exploiting Data at Rest and Data in Motion with a Big Data Platform Exploiting Data at Rest and Data in Motion with a Big Data Platform Sarah Brader, sarah_brader@uk.ibm.com What is Big Data? Where does it come from? 12+ TBs of tweet data every day 30 billion RFID tags

More information

Big Data + Predictive Analytics = Actionable Business Insights: Consider Big Data as the Most Important Thing for Business since the Internet

Big Data + Predictive Analytics = Actionable Business Insights: Consider Big Data as the Most Important Thing for Business since the Internet Big Data + Predictive Analytics = Actionable Business Insights: Consider Big Data as the Most Important Thing for Business since the Internet Adapted from the forthcoming book, Business Innovation in the

More information

Big Data is Not just Hadoop

Big Data is Not just Hadoop Asia-pacific Journal of Multimedia Services Convergence with Art, Humanities and Sociology Vol.2, No.1 (2012), pp. 13-18 http://dx.doi.org/10.14257/ajmscahs.2012.06.04 Big Data is Not just Hadoop Ronnie

More information

The Prolog Interface to the Unstructured Information Management Architecture

The Prolog Interface to the Unstructured Information Management Architecture The Prolog Interface to the Unstructured Information Management Architecture Paul Fodor 1, Adam Lally 2, David Ferrucci 2 1 Stony Brook University, Stony Brook, NY 11794, USA, pfodor@cs.sunysb.edu 2 IBM

More information