Watson und Big Data. Wolfgang Nimführ IBM Software Group
|
|
- Noel Watkins
- 7 years ago
- Views:
Transcription
1 Watson und Big Data Wolfgang Nimführ IBM Software Group
2 Am 16.Feb hat das IBM Watson System Jeopardy gewonnen
3 Was sind typische Jeopardy Fragen? Category: Cambridge (Ambiguity) Mit viel Gravitas wurde dieser Jünger der Dreifaltigkeit 1669 der Lucasian Professor für Mathematik. Category: Do not Worry (Wordplay) Du brauchst nur ein Nickerchen! Du hast nicht diese Schlafstörung die dazu führen kann, dass man im Stehen einschläft. Category: Proverbs (Brainteaser) Sogar eine kaputte von diesen an der Wand stimmt zwei mal am Tag. Wer ist Isaac Newton? Was ist Narkolepsie? Was ist eine Uhr?
4 Was ist die Technologie hinter Watson? Question Answer Sources Primary Search Candidate Answer Generation Answer Scoring Evidence Sources Evidence Retrieval Deep Evidence Scoring Learned Models help combine and weigh the Evidence Models Models Models Models Models Models Question & Topic Analysis Question Decomposition Hypothesis Generation Hypothesis and Evidence Scoring Synthesis Final Confidence Merging & Ranking Hypothesis Generation Hypothesis and Evidence Scoring... Answer & Confidence
5 Was ist Keyword Matching? In May 1898 Portugal celebrated the 400th anniversary of this explorer s arrival in India. In May, Gary arrived in India after he celebrated his anniversary in Portugal. arrived in celebrated Keyword Matching celebrated In May 1898 Keyword Matching In May Evidence suggests Gary is the answer BUT the system must learn that keyword matching may be weak relative to other types of evidence 400th anniversary arrival in India explorer Portugal Keyword Matching Keyword Matching Keyword Matching Gary India anniversary in Portugal
6 Was ist DeepQA Matching? In May 1898 Portugal celebrated the 400th anniversary of this explorer s arrival in India. On On 27th 27th May May 1498, Vasco da dagama On On landed the 27th 27 th May 1498, Vasco da Gama in in of Kappad May 1498, Beach Vasco da Gama landed landed in in Kappad Kappad Beach Beach celebrated Portugal Search Far and Wide Explore many hypotheses Find Judge Evidence Many inference algorithms landed in May th anniversary Temporal Reasoning 27th May 1498 Stronger evidence can be much harder to find and score. arrival in India explorer Statistical Paraphrasing GeoSpatial Reasoning Kappad Beach Vasco da Gama The evidence is still not 100% certain.
7 Wie wird Text verstanden?
8 Was ist ein lernendes System? Society Nature Institutions Archives (Natural Interfaces) Active Learning Verification Engines (e.g. Simulations) Training and Learning Engines To Build Models and Define Insight Hypothesis Engines To Understand and Plan Actions Policy Engine Business, Legal and Ethical Rules Outcome Engine Actuation and Validation
9 Welche Produkte sind heute verfügbar? InfoSphere BigInsights IBM Business Analytics InfoSphere Streams IBM Content Analytics InfoSphere Warehouse IBM Power Systems *) nicht alle hier genannte Technologien wurden für Jeopardy genutzt
10 Was ist Big Data?
11 Was ist die IBM Big Data Platform? IBM Big Data Solutions Client and Partner Solutions Big Data User Environments Developers End Users Administrators Enterprise Software AGENTS Big Data Enterprise Engines INTEGRATION Streaming Analytics Connectors Internet Scale Analytics Accelerators and Blueprints IBM Non-IBM Open Source Foundational Components
12 Wie spielt Big Data mit Watson Technologien zusammen? Approx. 200M pages of text (To compete on Jeopardy!) POS Data CRM Data Social Media InfoSphere BigInsights Distilled Insight - Spending habits - Social relationships - Buying trends Watson s Memory Advanced search and analysis
13 Was sind typische Einsatzszenarien für Big Data und Watson? Neonatal Care Trading Advantage Environment Law Enforcement Customer Retention Telecom Manufacturing Traffic Control Risk Prevention
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 informationGet Related Schatzsuche in SciFinder Scholar
Get Related Schatzsuche in SciFinder Scholar Schatzsuche in Dokumenten Get related zitierende Schriften (ab 1999 *) Get related zitierte Schriften (ab 1907) Get related Substances! NEU in 2002 Get related
More informationSearch Engines Chapter 2 Architecture. 14.4.2011 Felix Naumann
Search Engines Chapter 2 Architecture 14.4.2011 Felix Naumann Overview 2 Basic Building Blocks Indexing Text Acquisition Text Transformation Index Creation Querying User Interaction Ranking Evaluation
More informationWatson, 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 informationIntelligent Systems: Three Practical Questions. Carsten Rother
Intelligent Systems: Three Practical Questions Carsten Rother 04/02/2015 Prüfungsfragen Nur vom zweiten Teil der Vorlesung (Dimitri Schlesinger, Carsten Rother) Drei Typen von Aufgaben: 1) Algorithmen
More informationMicrosoft Certified IT Professional (MCITP) MCTS: Windows 7, Configuration (070-680)
Microsoft Office Specialist Office 2010 Specialist Expert Master Eines dieser Examen/One of these exams: Eines dieser Examen/One of these exams: Pflichtexamen/Compulsory exam: Word Core (Exam 077-881)
More informationPutting 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 informationThe 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 informationMit einem Auge auf den mathema/schen Horizont: Was der Lehrer braucht für die Zukun= seiner Schüler
Mit einem Auge auf den mathema/schen Horizont: Was der Lehrer braucht für die Zukun= seiner Schüler Deborah Löwenberg Ball und Hyman Bass University of Michigan U.S.A. 43. Jahrestagung für DidakEk der
More informationPutting 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 informationSeamless Learning Support
Seamless Learning Support PROF. DR. MARCUS SPECHT WELTEN INSTITUTE RESEARCH CENTRE FOR LEARNING, TEACHING AND TECHNOLOGY OPEN UNIVERSITEIT NEDERLAND MARCUS.SPECHT@OU.NL TWITTER, FLICKR, FACEBOOK: MARCUSPECHT
More informationPaul J. Ledak Vice President, IBM Research. 2011 IBM Corporation
Paul J. Ledak Vice President, IBM Research 2011 IBM Corporation Watson answers a grand challenge Can we design a computing system that rivals a human s ability to answer questions posed in natural language,
More informationAnalytics & Marketing 4.0 Wie die Anwendung von BigData die Customer Loyalty von morgen schafft
Analytics & Marketing 4.0 Wie die Anwendung von BigData die Customer Loyalty von morgen schafft Oliver Börner Thomas Thalhammer 1 / digital business by 2 / digital business by 3 / digital business by 4
More informationDiese Liste wird präsentiert von. Netheweb.de
Diese Liste wird präsentiert von Netheweb.de Die Liste enthält 1000 Do-Follow Blogs, die zum Linkbuilding genutzt werden können, es kann sein, dass verkürzte URL s nicht korrekt weiter geleitet werden.
More informationPBS CBW NLS IQ Enterprise Content Store
CBW NLS IQ Enterprise Content Store Solution for NetWeaver BW and on HANA Information Lifecycle Management in BW Content Information Lifecycle Management in BW...3 Strategic Partnership...4 Information
More informationStefan Engelberg (IDS Mannheim), Workshop Corpora in Lexical Research, Bucharest, Nov. 2008 [Folie 1]
Content 1. Empirical linguistics 2. Text corpora and corpus linguistics 3. Concordances 4. Application I: The German progressive 5. Part-of-speech tagging 6. Fequency analysis 7. Application II: Compounds
More informationBig Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data
Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data Disruptive forces impact long standing business models across industries Pressure to do more with less Shift of power to the consumer
More informationAP WORLD LANGUAGE AND CULTURE EXAMS 2012 SCORING GUIDELINES
AP WORLD LANGUAGE AND CULTURE EXAMS 2012 SCORING GUIDELINES Interpersonal Writing: E-mail Reply 5: STRONG performance in Interpersonal Writing Maintains the exchange with a response that is clearly appropriate
More informationExemplar for Internal Assessment Resource German Level 1. Resource title: Planning a School Exchange
Exemplar for internal assessment resource German 1.5A for Achievement Standard 90887! Exemplar for Internal Assessment Resource German Level 1 Resource title: Planning a School Exchange This exemplar supports
More informationIBM Security. Alle Risiken im Blick und bessere Compliance Kumulierte und intelligente Security Alerts mit QRadar Security Intelligence
IBM Security Alle Risiken im Blick und bessere Compliance Kumulierte und intelligente Security Alerts mit QRadar Security Intelligence Peter Kurfürst Vertrieb IBM Security Lösungen Enterprise-Kunden Baden-Württemberg
More informationIBM 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 informationIBM 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 informationBig Data & Analytics Heute & Morgen
Big Data & Analytics Heute & Morgen Dipl.Ing.Wolfgang Nimführ Business Development Executive Big Data Analytics Watson Ambassador IBM Analytics Group Europe 2015 IBM Corporation The World of Big Data &
More informationMAN 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 informationOleksandr Romanko, Ph.D. Senior Research Analyst, Risk Analytics Business Analytics, IBM Canada October 8, 2013. Business Analytics and Optimization
Oleksandr Romanko, Ph.D. Senior Research Analyst, Risk Analytics Business Analytics, IBM Canada October 8, 2013 Business Analytics and Optimization Please note: IBM Risk Analytics statements regarding
More informationIBM 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>Challenges faced by the travel and transportation industry
>Challenges faced by the travel and transportation industry Competition Passenger Satisfaction Chart 2 >Challenges faced by the travel and transportation industry Economic instability and uncertainty Difficulty
More informationProgrammieren von Schnittstellen für LiveCycle ES2-Modulen (November 2009)
Programmieren von Schnittstellen für LiveCycle ES2-Modulen (November 2009) In diesem Dokument werden die Programmierschnittstellen aufgeführt, mit deren Hilfe Entwickler Anwendungen unter Verwendung von
More informationLinux & Docker auf Azure
Linux & Docker auf Azure Linux in der Azure Cloud Web Mail Twitter Rainer Stropek software architects gmbh http://www.timecockpit.com rainer@timecockpit.com @rstropek Saves the day. Your Host Rainer Stropek
More informationSuperiority: Syntax or Semantics? Düsseldorf Jul02. Jill devilliers, Tom Roeper, Jürgen Weissenborn Smith,Umass,Potsdam
Superiority: Syntax or Semantics? Düsseldorf Jul02 Jill devilliers, Tom Roeper, Jürgen Weissenborn Smith,Umass,Potsdam Introduction I. Question: When does a child know the grammaticality difference between
More informationData Management in der Ära von Big Data
Data Management in der Ära von Big Data Eine neue Generation der Geschwindigkeit und Effizienz Harald Gröger IBM Big Data hgroeger@de.ibm.com 2013 IBM Corporation IBM Big Data Strategie: Analyse näher
More informationInformation Systems 2
Information Systems 2 Prof. Dr. Dr. L. Schmidt-Thieme MSc. André Busche Übung 9 0. Allerlei 1. Übung 2. Hands on some things 2.1 Saxon 2.2 Corba 28.06.10 2/ 0. Allerlei 1. Übung 2. Hands on some things
More informationVergleich der Versionen von Kapitel 1 des EU-GMP-Leitfaden (Oktober 2012) 01 July 2008 18 November 2009 31 Januar 2013 Kommentar Maas & Peither
Chapter 1 Quality Management Chapter 1 Quality Management System Chapter 1 Pharmaceutical Quality System Principle The holder of a Manufacturing Authorisation must manufacture medicinal products so as
More informationTeaching 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 informationDokumentation über die Übernahme von. "GS-R-3" (The Management System for Facilities and Activities) "Sicherheitskriterien für Kernkraftwerke"
Dokumentation über die Übernahme von "GS-R-3" () in die "Sicherheitskriterien für Kernkraftwerke" REVISION D APRIL 2009 1. INTRODUCTION BACKGROUND 1.1 This Safety Requirements publication defines the requirements
More informationVirtual Organization Virtuelle Fabrik 2007-05-02
Wi irtsch haftsi inform matik Virtual Organization Virtuelle Fabrik 2007-05-02 Mark Nierste Tim Sender Robin Schultz Carsten Pfeifer Agenda A. The Virtuelle Fabrik Euregio Bodensee B. Business model of
More informationProduktfamilienentwicklung
Produktfamilienentwicklung Bericht über die ITEA-Projekte ESAPS, CAFÉ und Families Günter Böckle Siemens CT SE 3 Motivation Drei große ITEA Projekte über Produktfamilien- Engineering: ESAPS (1.7.99 30.6.01),
More informationIBM 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 informationHow To Teach A Software Engineer
Corporate Technology Social Skills für Experten Erfahrungsbericht vom Siemens Curriculum für Senior Architekten / Architekten Matthias Singer Siemens AG Learning Campus Copyright 2010. All rights reserved.
More informationExploiting 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 informationIBM 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 informationMUK-IT 63. Roundtable. Herzlich Willkommen bei der Software AG. Anton Hofmeier VP Sales Terracotta DACH / MdGL
MUK-IT 63. Roundtable Herzlich Willkommen bei der Software AG Anton Hofmeier VP Sales Terracotta DACH / MdGL Überblick February 15, 2013 2 Software AG www.softwareag.com 5.500 Mitarbeiter >1Mrd Umsatz
More informationSPICE auf der Überholspur. Vergleich von ISO (TR) 15504 und Automotive SPICE
SPICE auf der Überholspur Vergleich von ISO (TR) 15504 und Automotive SPICE Historie Software Process Improvement and Capability determination 1994 1995 ISO 15504 Draft SPICE wird als Projekt der ISO zur
More informationTraining for the Implementation of the European Eco-label for Tourist Accommodations and Camp Sites
Accommodations and Camp Sites A/05/B/F/PP-158.203 1 Project Information Title: Project Number: Year: 2005 Training for the Implementation of the European Eco-label for Tourist Accommodations and Camp Sites
More informationFOR TEACHERS ONLY The University of the State of New York
FOR TEACHERS ONLY The University of the State of New York REGENTS HIGH SCHOOL EXAMINATION G COMPREHENSIVE EXAMINATION IN GERMAN Friday, June 15, 2007 1:15 to 4:15 p.m., only SCORING KEY Updated information
More informationBig Data. 2013 IBM Corporation
Big Data 1 2013 IBM Corporation Big Data Vom Hype zur Realität Dipl.Ing. Wolfgang Nimführ 2 2013 IBM Corporation Fundamentale Änderungen finden statt Stetige Transformation ist die neue Norm Mobile Cloud
More informationCopyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Big Data nichts ist mehr wie es war Ulrich (Ulli) Pfeiffer Director and CT HP Software EMEA Volume of data Information Gap Mobile apps System logs Data centers Compliance archives Internet of Things Industrie
More informationI Textarbeit. Text 1. I never leave my horse
BEJ Musterprüfung Englisch (11020) 1 I Textarbeit Text 1 I never leave my horse 1 5 10 15 20 Police officers in Ireland don t carry guns. But they often ride through Dublin on horses. Julie Folan is a
More informationBeyond 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 informationVergleich der Versionen von Kapitel 7 des EU-GMP-Leitfadens (September 2012)
(Valid until January 31, Principle Contract manufacture and analysis must be correctly defined, agreed and controlled in order to avoid misunderstandings which could result in a product or work of unsatisfactory
More informationThe Changing Global Egg Industry
Vol. 46 (2), Oct. 2011, Page 3 The Changing Global Egg Industry - The new role of less developed and threshold countries in global egg production and trade 1 - Hans-Wilhelm Windhorst, Vechta, Germany Introduction
More informationLanguage considerations for developing VoiceXML in German
Language considerations for developing VoiceXML in German This section contains information that is specific to German. If you are developing German voice applications, use the information in this section,
More informationStatistics on Long Distance Transportation by Buses and coaches
Statistics on Long Distance Transportation by Buses and coaches Germany ECE-Workshop - Maastricht, 29. November 2006 Uwe Reim Federal Statistical Office of Germany Folie 1 German official statistics: Legal
More informationAuto 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 informationUsability in SW-Engineering-Prozessen und in CMMI
Workshop USABILITY VDE Prüf- und Zertifizierungsinstitut Strategiekreis i-12 Usability in SW-Engineering-Prozessen und in CMMI Helmut Thoma Schweizer Informatik Gesellschaft Lehrbeauftragter Universität
More informationContents. What is Wirtschaftsmathematik?
Contents. Introduction Modeling cycle SchokoLeb example Graphical procedure Standard-Form of Linear Program Vorlesung, Lineare Optimierung, Sommersemester 04 Page What is Wirtschaftsmathematik? Using mathematical
More informationGETTING FEEDBACK REALLY FAST WITH DESIGN THINKING AND AGILE SOFTWARE ENGINEERING
GETTING FEEDBACK REALLY FAST WITH DESIGN THINKING AND AGILE SOFTWARE ENGINEERING Dr. Tobias Hildenbrand & Christian Suessenbach, SAP AG Entwicklertag Karlsruhe, 22 May 2014 Ich wollte Mitarbeiter so motivieren,
More informationHerzlich Willkommen. zum Webinar. Data Insight Lab - Smart Data for Business & RapidMiner
Herzlich Willkommen zum Webinar Data Insight Lab - Smart Data for Business & RapidMiner Ihre Referenten Thomas Husung Sales Manager Dr. Daniel Vinke Data Analytics Strategy & Business Model Innovation
More informationBMW11: 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 informationBuilding 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 informationWatson. 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 informationLEJ Langenscheidt Berlin München Wien Zürich New York
Langenscheidt Deutsch in 30 Tagen German in 30 days Von Angelika G. Beck LEJ Langenscheidt Berlin München Wien Zürich New York I Contents Introduction Spelling and pronunciation Lesson 1 Im Flugzeug On
More informationMUSTER. ENGLISH G 21/D3 Test No. 1 Unit 1: My London. 1 LISTENING The London Eye. G - Level: Listen to three texts and tick the correct box.
Name: Date: 1 LISTENING The London Eye G - Level: Listen to three texts and tick the correct box. Right Wrong 1 can buy tickets for the London Eye at the ticket office. 2 The ticket office opens at 10.00
More informationGurkensalat statt Spaghetticode. Stuttgarter Testtage 2013
Gurkensalat statt Spaghetticode Stuttgarter Testtage 2013 1.Motivation für BDD 2.Einführung in BDD 3.Cucumber für Java 4.Lessons Learned Motivation für BDD 3 Requirements 4 ... ein wenig Excel 5 dazu noch
More informationAn Incrementally Trainable Statistical Approach to Information Extraction Based on Token Classification and Rich Context Models
Dissertation (Ph.D. Thesis) An Incrementally Trainable Statistical Approach to Information Extraction Based on Token Classification and Rich Context Models Christian Siefkes Disputationen: 16th February
More informationElena Chiocchetti & Natascia Ralli (EURAC) Tanja Wissik & Vesna Lušicky (University of Vienna)
Elena Chiocchetti & Natascia Ralli (EURAC) Tanja Wissik & Vesna Lušicky (University of Vienna) VII Conference on Legal Translation, Court Interpreting and Comparative Legilinguistics Poznań, 28-30.06.2013
More information2010 Users Symposium Berlin
Amer Kakish Slide 1 Barrierefreiheit Mobilität Skalierbarkeit Übersetzbarkeit Benutzerfreundlichkeit Auto Erkennung Auto Größenanpassung Slide 2 Einbettung in Social-Networking Platformen In Wikis, Blogs
More informationReal 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 informationDATA is just like CRUDE. It s valuable, but if unrefined it cannot really be used.
Data is the new Oil DATA is just like CRUDE. It s valuable, but if unrefined it cannot really be used. Clive Humby "Digitale Informationsspeicher Im Meer der Daten" "Die Menschen produzieren immer mehr
More informationProduct Quality and Environmental Standards: The Effect of an International Environmental Agreement on Tropical Timber Trade
Please scroll down for the English version Sehr geehrte Abonnentinnen und Abonnenten, wir freuen uns, Sie per Newsletter über die neuesten Entwicklungen des FIW-Projekts informieren zu dürfen. Dieses Mal
More information2012-06-18 23:09:13.387626 [scheduler thread(5)]: AdvancedCardAllocation.GetAvailableCardsForChannel took 7 msec
card 2 = FireDTV, card 3 = KNC1 die gelben Zeilen zeigen: Es sind beide Karten frei und der Scheduler wählt Karte 2 Erfolgreiches tunen einer Sendung auf Karte 2 / FireDTV 3SAT Made in Munich 18.06.2012
More informationAnyWeb AG 2008 www.anyweb.ch
HP SiteScope (End-to-End Monitoring, System Availability) Christof Madöry AnyWeb AG ITSM Practice Circle September 2008 Agenda Management Technology Agentless monitoring SiteScope in HP BTO SiteScope look
More informationI-Q SCHACHT & KOLLEGEN QUALITÄTSKONSTRUKTION GMBH ISO 26262:2011. Liste der Work Products aus der Norm
I-Q SCHACHT & KOLLEGEN QUALITÄTSKONSTRUKTION GMBH ISO 26262:2011 Liste der Work Products aus der Norm 1. Work Products in der ISO 26262:2011 1.1 Liste ISO-26262:2011, part 1 - Vocabulary no relevant work
More informationHow 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 informationUpgrading Your Skills to MCSA Windows Server 2012 MOC 20417
Upgrading Your Skills to MCSA Windows Server 2012 MOC 20417 In dieser Schulung lernen Sie neue Features und Funktionalitäten in Windows Server 2012 in Bezug auf das Management, die Netzwerkinfrastruktur,
More informationA: Ein ganz normaler Prozess B: Best Practices in BPMN 1.x. ITAB / IT Architekturbüro Rüdiger Molle März 2009
A: Ein ganz normaler Prozess B: Best Practices in BPMN 1.x ITAB / IT Architekturbüro Rüdiger Molle März 2009 März 2009 I T A B 2 Lessons learned Beschreibung eines GP durch das Business läßt Fragen der
More informationWhat 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 informationProf. Jean-Claude MAUN Dean of Ecole polytechnique de Bruxelles. Prof. Guy WARZEE Coordinator of the Exchange Programs
Prof. Jean-Claude MAUN Dean of Ecole polytechnique de Bruxelles Prof. Guy WARZEE Coordinator of the Exchange Programs Annex to Erasmus+ Inter-Institutional Agreement Institutional Factsheet 1 Institutional
More informationFrom Practice to Theory
Interdisziplinäre Forschungsplattform für Archäologie der Universität Wien VIA From Practice to Theory Expanding the stratigraphic recording into real 3D Wolfgang Neubauer On many archaeological excavations
More informationExchange Synchronization AX 2012
Exchange Synchronization AX 2012 Autor... Pascal Gubler Dokument... Exchange Synchronization 2012 (EN) Erstellungsdatum... 25. September 2012 Version... 2 / 17.06.2013 Content 1 PRODUKTBESCHREIBUNG...
More informationDr. 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 informationTIn 1: Lecture 3: Lernziele. Lecture 3 The Belly of the Architect. Basic internal components of the 8086. Pointers and data storage in memory
Mitglied der Zürcher Fachhochschule TIn 1: Lecture 3 The Belly of the Architect. Lecture 3: Lernziele Basic internal components of the 8086 Pointers and data storage in memory Architektur 8086 Besteht
More informationCognitive 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 informationDevelopments in the Austrian Surveying Education
Gert STEINKELLNER, Austria Key words: University Curriculum, Advanced Technical College, Civil Engineer, Assistant Surveyor. ABSTRACT In Austria was a substantial change of surveying education during the
More informationBig 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 informationLYTIQ GmbH Vorhersagen besser treffen mit Predictive Analytics
LYTIQ GmbH Vorhersagen besser treffen mit Predictive Analytics Köln, April 2015 Chief Data Scientist Dieser Bericht enthält vertrauliche Informationen und ist ausschließlich für die interne Nutzung von
More informationDesigning and Deploying Messaging Solutions with Microsoft Exchange Server 2010 MOC 10233
Designing and Deploying Messaging Solutions with Microsoft Exchange Server MOC 10233 In dieser Schulung erhalten Sie das nötige Wissen für das Design und die Bereitstellung von Messaging-Lösungen mit Microsoft
More informationDesigning and Implementing a Server Infrastructure MOC 20413
Designing and Implementing a Server Infrastructure MOC 20413 In dieser 5-tägigen Schulung erhalten Sie die Kenntnisse, welche benötigt werden, um eine physische und logische Windows Server 2012 Active
More informationJeffrey D. Ullman Anfang von: CS145 - Herbst 2004 - Stanford University Online unter: www.odbms.org. Folien mit weißem Hintergrund wurden hinzugefügt!
Jeffrey D. Ullman Anfang von: CS145 - Herbst 2004 - Stanford University Online unter: www.odbms.org Folien mit weißem Hintergrund wurden hinzugefügt! Real SQL Programming Embedded SQL Call-Level Interface
More informationENTWURF ÖVE/ÖNORM EN 50126-5
EN 50126-5 Ausgabe: 2012-12-01 Railway applications The Specification and Demonstration of Reliability, Availability, Maintainability and Safety (RAMS) Part 5: Functional Safety Software Hinweis: Aufgrund
More informationAP GERMAN LANGUAGE AND CULTURE EXAM 2015 SCORING GUIDELINES
AP GERMAN LANGUAGE AND CULTURE EXAM 2015 SCORING GUIDELINES Identical to Scoring Guidelines used for French, Italian, and Spanish Language and Culture Exams Interpersonal Writing: E-mail Reply 5: STRONG
More informationSuccessful Collaboration in Agile Software Development Teams
Successful Collaboration in Agile Software Development Teams Martin Kropp, Magdalena Mateescu University of Applied Sciences Northwestern Switzerland School of Engineering & School of Applied Psychology
More informationSemantic Web. Semantic Web: Resource Description Framework (RDF) cont. Resource Description Framework (RDF) W3C Definition:
Semantic Web: The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Tim Berners-Lee, James
More informationCompression. 6 TB NL-SAS Drives. 16 Gbs Fibre Channel. Elastic Flash. Storwize V7000 V840 / 840. Easy Tier
ACSG Newsletter Oktober 2014 Sehr geehrte Anwender, in Kürze wird IBM eine Reihe von neuen Ankündigungen durchführen. Wir möchten Sie darauf vorbereiten und Ihnen die wichtigsten Informationen schon jetzt
More informationVirtual Address Mapping
Virtual Address Mapping Ziel ist es, zwischen zwei ZyWALL Routern (ZyWALL 2 Plus ZyWALL P1), welche sich beide im selben Lokalen IP Bereich (192.168.1.1/24) befinden, einen VPN-Tunnel mittels NAT over
More informationIs Cloud relevant for SOA? 2014-06-12 - Corsin Decurtins
Is Cloud relevant for SOA? 2014-06-12 - Corsin Decurtins Abstract SOA (Service-Orientierte Architektur) war vor einigen Jahren ein absolutes Hype- Thema in Unternehmen. Mittlerweile ist es aber sehr viel
More informationEMC Greenplum. Big Data meets Big Integration. Wolfgang Disselhoff Sr. Technology Architect, Greenplum. André Münger Sr. Account Manager, Greenplum
EMC Greenplum Big Data meets Big Integration Wolfgang Disselhoff Sr. Technology Architect, Greenplum André Münger Sr. Account Manager, Greenplum 1 2 GREENPLUM DATABASE Industry-Leading Massively Parallel
More informationName: Klasse: Datum: A. Was wissen Sie schon? What do you know already from studying Kapitel 1 in Vorsprung? True or false?
KAPITEL 1 Jetzt geht s los! Vor dem Anschauen A. Was wissen Sie schon? What do you know already from studying Kapitel 1 in Vorsprung? True or false? 1. Man sagt Hallo in Deutschland. 2. Junge Personen
More informationCloud Performance Group 1. Cloud@Night Event. 14. Januar 2016 / Matthias Gessenay (matthias.gessenay@corporatesoftware.ch)
1 Cloud@Night Event 14. Januar 2016 / Matthias Gessenay (matthias.gessenay@corporatesoftware.ch) 2 Agenda SharePoint ABC Project Server ABC What s new in O365 4 SharePoint 2016 ABC A Access App-Support
More information