Neue Enabler für das
Asset Management
26. MAXIMO Anwenderkonferenz
13. Juni 2018
@ Capgemini 2018. All rights reserved.
Agenda
▪ Intro Capgemini
▪ IoT, Machine Learning und KI
▪ Neue Möglichkeiten im Zusammenspiel mit AM
▪ Start in die digital Transformation
@ Capgemini 2018. All rights reserved.
Capgemini is the largest European based digital consulting player
COMPANY▪ Listed on the Paris stock
exchange (CAC-40)1
▪ EUR 12.8 bn. revenues (2017)
▪ Top 5 consultancy worldwide
▪ Two thirds of the world‘s largest companies are our clients
Headquarter in ParisPaul HermelinGroup Chairman and Chief Executive Officer
PEOPLE▪ > 200,000 employees
▪ Offices in 44 countries
1 Index of leading shares of the 40 biggest French incorporated companies at the Paris stock exchange
Dis
cip
lin
es
Consulting Services
Application Services
BPOInfrastructure
Services
Team Spirit Modesty FunBoldness FreedomTrustHonesty
Our values
@ Capgemini 2018. All rights reserved.
Smart Products und Smart Plants verändern die Industrie
Smart Plant
Integrated
Supply
Chain
Customer
Experience
Manufacturing
Intelligence
Energy
Management
Cobots
Predictive
Maintenance
Product to
Device
Communication
Machine to
Machine
Communication
Smart Product
Product as a
Service
Infotainment
Mobility
Management
Aftersales
Remote
Services
Safety
Systems
Energy
management
Engine and
sub-
systems
Anti lock
braking
Cloud
Smart
Product
Smart
Plant
Security Connectivity
Analytics
External
informationBusiness
system
@ Capgemini 2018. All rights reserved.
IoT als zusätzlicher Treiber der Wertschöpfung
New IT drivers
▪ Produkt-IT als strategische Waffe
▪ IoT – OT – IT verschmelzen
internet-connected devices
20202013
> 40 billion
Object generated
Traffic
>
Human generated
traffic
IoT : Internet of Things
OT : Operations Technology
IT : Information Technology
Value Creation
▪ Produktivitätssteigerung: 1 - 1.5 point/year
▪ Vom Produkt zum Service
▪ Neue Geschäftsmodelle
Worldwide Coverage
▪ Developed countries 60%
▪ Developing countries 40%
@ Capgemini 2018. All rights reserved.
Der starke Wandel in den neuen Technologien wird die Fertigungsindustrie grundlegend verändern
Premium Automotive OEM
today mid-termlong-term
Car
manufacturer Mobility
as a Service
provider
Player in the
connected
world
Paintjob Manufacturer
today mid-termlong-term
Plant
manufacturer Smart
Paintjob
provider
Data driven
service
company
Medical Engineering Manufacturer
today mid-termlong-term
Product
manufacturer Connected
medical
solutions
Health
service
provider
Absehbare Veränderungen in der Industrie
@ Capgemini 2018. All rights reserved.
Der starke Wandel in den neuen Technologien wird die Fertigungsindustrie grundlegend verändern
Transformationwege der Industrie
Gefahr oder
Möglichkeit!
Technologische Potenziale
zur Schaffung einmaliger
Marktpositionierungen.
Existenzsicherung
Sei innovative und
erfinde dich neu bevor
es andere tun
Innovationstreiber
Mechanical engineering
vs. Data driven solutions
Wachstums-
potenziale
Produktgeschäft vs.
Servicegeschäft
@ Capgemini 2018. All rights reserved.
Das IBM-Angebot im Bereich Connected Operations besteht aus drei sich ergänzenden Blöcken
▪ Predictive Maintenance
▪ Asset Health Insights
▪ Equipment Advisor
▪ IBM Maximo
▪ TRIRIGA
▪ IoT Connection Services
▪ Blockchain
Operations OptimizationAsset Optimization
Workflow, Asset Management and Data
High productivity and quality data
Zero unplanned downtime
Improve factory KPIs
▪ Visual Insights
▪ Acoustic Insights
▪ Plant Advisor
▪ Plant Performance Analytics
▪ Prescriptive Warranty
▪ Prescriptive Quality
@ Capgemini 2018. All rights reserved.
Das Asset Management wandelt sich von einer reinen Verwaltung zum digitalen Dashboard
Fehleranalyse
Aus Erfahrung=>
Angeleitet
ReportingManuell
=>Automatisch
Wartung
Zeitgesteuert=>
Bedarfsgesteuert
Statusabfrage
Onsite=>
Remote
Ressourcen
Pauschaler Einsatz=>
Aufwandsgesteuert
@ Capgemini 2018. All rights reserved.
Viele unserer Kunden stehen erst am Anfang ihrer digitalen Transformation, werden aber alle mit den gleichen Herausforderungen konfrontiert
Einige Beispiele ...
Data Management
Foundry Press
Plant
Car body
constructionPaint shop
Chassis
control
Unmengen an Daten,aber nur gespeichert, kaum genutzt, nicht
integriert und keine Durchgängigkeit
Operations Efficiency
…
Einbeziehen der Mitarbeiter in die
Veränderungen
Prozessbrüche hinsichtlich
Organisationseinheiten und Medien
Fehlende Integration zwischen
Entwicklung, Produktion, Fachbereichen
und Instandhaltung
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Einordnung des Watson Portfolios in das Capgemini 5A Model
➢ Data storage
➢ Event processing
➢ Data contextualization
Aggregation(A2)
➢ Data analytics
➢ Data visualizationAnalysis
(A3)
➢ Knowledge base
➢ Expert systemsAssignment
(A4)
➢ Operation efficiency management
➢ Business process integration
Action(A5)
Watson IoT for
Manufacturing (SaaS)
IBM Cloud (PaaS)
IBM Cloud(IaaS)
Watson Services Watson
Analytics
➢ Connectivity (gateway & sensors)
➢ Data preparation
Acquisition(A1)
… doch die digitale Reise beginnt meist nicht mit einer Architektur
@ Capgemini 2018. All rights reserved.
Von der digitalen Strategie zur strukturierten Roadmap
Vision
Roadmap
TargetPicture“WHY”
Areas forAction“WHAT”
TransformationInitiatives“HOW”
@ Capgemini 2018. All rights reserved.
Die entwickelte digitale Strategie beantwortet die Schlüsselfragen und bildet den Rahmen für zukünftige digitale Initiativen
DigitalVision
DigitalMission
DigitalTargets
DigitalRoadmap
DigitalInitiatives
B2B/B2C orFunctional Strategy
DigitalStrategyElements
Link strategy toinitiatives
Link Group toB2B/B2C level
“Festlegung der Eckpfeiler für die Digitale StrategieundAbstimmung mit der Unternehmensstrategie”
▪ Wonach streben sie? Was ist ihr Vision?
▪ Woran richten sie ihre Entscheidung und Aktivitäten aus?
▪ Was ist ihr Digitales Ziel?
▪ Wie wollen sie ihre digitalen Ziele erreichen?
▪ Wie soll die digitale Strategie aufgesetzt und umgesetzt werden?
▪ Wie lässt sich die übergreifende digitale Strategie in spezifische Strategien überführen?
@ Capgemini 2018. All rights reserved.
Wir empfehlen unseren bewährten und strukturierten Ansatz –das Herzstück bildet ein “Digital Day” Workshop
Ansatz & Roadmap: Übersicht
@ Capgemini 2018. All rights reserved.
Viele Unternehmen starten ihre Reise lieber mit sehrleichtgewichtigen Ansätzen (PoC / MVP)
Customized workshops to your specific situation and needs
▪ Applying top-of-the-class ideation techniques to identify the most promising use cases
▪ Developing solution concepts for your specific problem statement together with our SMEs
▪ Duration: 4h – 3 days
Workshops
Execution of agile projects aligned to your strategic journey
▪ Proven MVP approach to build scalable IoT & AI solutions with immediate business impact
▪ Possibility to perform quick Proof-of-Value and technical feasibility projects
▪ Duration: 2 – 26 weeks
Projects
Unique innovation environment to demo IoT and AI potentials
▪ Technology introduction sessions to IoT, AI & Blockchain including Capgemini’s point of views
▪ Get inspired of potential use cases through cross industry innovation labs
▪ Duration: 2h – 1 day
Innovation Sessions
@ Capgemini 2018. All rights reserved.
Mehr dazu auch auf unserem anstehenden Workshop am 27./28. Juni
Sie sind herzlich willkommen
https://www.capgemini-events.de/ws_iot_watson/anmeldung/
A global leader in consulting, technology services and digital transformation,Capgemini is at the forefront of innovation to address the entire breadth of clients’opportunities in the evolving world of cloud, digital and platforms. Building on itsstrong 50-year heritage and deep industry-specific expertise, Capgemini enablesorganizations to realize their business ambitions through an array of services fromstrategy to operations. Capgemini is driven by the conviction that the businessvalue of technology comes from and through people. It is a multicultural companyof 200,000 team members in over 40 countries. The Group reported 2016 globalrevenues of EUR 12.5 billion.
About Capgemini
Learn more about us at
www.capgemini.com
This presentation contains information that may be privileged or confidential and is the property of the Capgemini Group.
Copyright © 2018 Capgemini. All rights reserved.
Alexander HeßelerTeam Lead Watson IoT
+49 151 4025 [email protected]
Danke für ihre Aufmerksamkeit
@ Capgemini 2018. All rights reserved.
Artificial intelligence comprises various technological building blocks that together form a learning cycle
realization
deep learning
imageanalysis
knowledgebuilding
natural languagegeneration
machine learning
robotics
sensoryperception
naturallanguageunderstanding
Think
Act
Sense
speech recognition
@ Capgemini 2018. All rights reserved.
The factor for the breakthrough of artificial intelligence are data availability, computing power and emerging technologies
Exponential growth of computing power
Moore´s Law,GPUs, VPUs, NPUs
Access to vastamounts of data
Big Data,Commonly sharedlabeled data
Infinitely flexible optimizing functions
Deep neural networks, CNNs, RNNs
@ Capgemini 2018. All rights reserved.
Solutions and systems in the field of artificial intelligence are just at the beginning of their development
Artificial Superintelligence (ASI)
▪ An intellect that is much smarter than the best human brains in practically every field
Artificial General Intelligence (AGI)
▪ Refers to a computer that is as mart as a human across the board
Artificial Narrow Intelligence (ANI)
▪ Specialises in one area
▪ Completes and solves one problem
@ Capgemini 2018. All rights reserved.
The Capgemini study „Turning AI into concrete value“ shows the most promising AI Use cases
@ Capgemini 2018. All rights reserved.
Key technologies include understanding of natural language and image
Chatbots Text analysis & entity extraction
Object detection
@ Capgemini 2018. All rights reserved.
Watson is the brand behind the activities of IBM in the area of artificial intelligence
Watson
IBM Watson
▪ IBM Watson is a teachable computer system from the field of the artificial intelligence and based on neuronal networks.
▪ This adaptive system processes unstructured and structured data like natural language.
▪ The extension of the knowledge-data-base through internal and external information for example textbooks, guidelines, manuals, FAQ’s, newsfeed and databases takes place continuously.
Cognitive Computing
Watson Services
@ Capgemini 2018. All rights reserved.
A cognitive computing system consists of two main components
Evaluation of unstructured dataSelf-learning systems
Evaluation of unstructured
dataSelf
Learning
The cognitive abilities of a person include perception, attention, memory, learning, problem solving, creativity, planning, orientation, contextawareness, imagination, argumentation, introspecction, will, faith, emotions and others.
Generate knowledge based on experience
Transfer human capabilities into computing systems
@ Capgemini 2018. All rights reserved.
The Watson Services embodies the cognitive capabilitiesof the Watson portfolio
“Use and/or train a visual recognition model to analyzepictures”
TEst
“Interpretation of text, relations and emotions between the words”
Language API’s
Visual API’s Speech API’s
“Transfer speech into text and text into speech“
Visual Recognition
English(US,UK)German,French,Italian,Spanish,Portuguese, Japanese
English,Arabic, Japanese, Mandarin, Portuguese, Spanish,French
Description of the content via “Big Watson”
Individualized Classifiers
Text to Speech
Speech to Text
Visual Recognition
Natural Language Understanding
“Big Watson” identify concepts, entities, emotions, relation, sentiment, keywords in documents.
Natural Language Classifier
TranslatorPersonal InsightsConversationDocument Conversion
Tone AnalyzerDiscoveryRetrieve and Rank
Trainable Model toclassify short textsto a certain rangeof categories.
?
Identification of over 65 languages and instant translation of English from/to Brazilian Portuguese, French, Italian, German
Derive personal insights and traits by using psychological categories
Interface to build a chatbot. Trained by giving standard conversations as input and by leveraging NLC.
Convert variousformats to eachother like PDF, Word, JSON, etc.
Detection of emotion, social propensities and language styles
Build a document-based knowledge library and train a ranker to derive information from there as required
Use and/or build a knowledge library based on documents.Can be queriedfor entities.
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