Artificial Intelligence and digital disruption - jyu.fi · Deep-Learning Robot Takes 10 ... AI...
Transcript of Artificial Intelligence and digital disruption - jyu.fi · Deep-Learning Robot Takes 10 ... AI...
Artificial Intelligence anddigital disruption
Fredrik RingTieto Data Driven BusinessSeptember 20 2017
What will come and where we are now
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AI nurse 24/7 for 1.2 millionLondon residents - now
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”Babylon’s AI-powered chatbot allowsyou to check symptoms instantly, andget the most appropriate advice onthe course of action to be taken.”
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AI laywer
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“ROSS Intelligence’s technologyrepresents a bright future where
talented lawyers are able toleverage artificial intelligence toanalyze legal issues and make
connections that wouldotherwise be invisible.”
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Customer service personalizedunderstanding customers personality, tone, and emotion
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Digitalized products and servicesIntelligent and connected
Digitalized customer experienceIntelligent channels, integrated with physical
Digitalized business processesIntelligent, automated, agile
Re-innovate businessNew business models, value chains, networked business
Digitalization journey
Data fuels allaspects ofdigitalization- from evolution to disruption
Evolution
Disruption
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Leveragethe existing
Harvest the legacy includingdata and services. Modernizeand create foundation forthe digital.
Digitalization journeyOrchestrate your future by leveraging the existing
Run business andIT in dual mode
Balance the traditional and newwhile building digital future.Take up business as digital anddigital as business.
Become ecosystem / partnerdriven business andtechnology platform ledattractive player.
Orchestratethe future
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Network Orchestrator business models
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The Network Imperative, Harvard Business Review Press 2016
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Tieto’s data-driven business Innovation platform
Focus on furthergrowth andprofitability
Ideasfromecosystems,employees,partners
Create,collect andrefineideas
Planning,co creation,prototyping Establish team
Take to market
Rapid growth(30-200%)
Createideas
Incubateideas
Grow andcommercialize
Run maturedata-drivenbusinesses
Eval
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Eval
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Eval
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Tieto in data-driven business
Data is the corevalue driver
Machine Learning and AI toextract value from data
Manage complexecosystems to connectpeople and things
Manage great volumesof data
Visualize data in order to turnit into actionable insights
Non-linearbusiness models
Network based businessmodels
As-a-service offers low entrybarrier
Not traditional consulting,project or outsourcingbusiness models
Fast processFrom Ideation – innovation – commercialization
Once mature businessRun as a part of Tieto, IPO or divest
Utilize a common platformFaster time-to-market and lean start-up
Leverage Tieto assetsIPRs, customer relations and partnerships
Create, accelerate and run
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New roles and competences
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Data Scientist Entrepreneur and innovator Lean startup anddesign thinking coach
”Hack team” Entrepreneurintelligent buildings
EntrepreneurAI for healthcare
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Sales ForceBusiness experts &
tech partnersIndustry Knowledge
Huge customer basewith over 1500
relevantrelationships, some
dating as back as 50years
Business Platform
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Cloud based Tech Platform• Ready to use, as a Service
Top technologies, methods and tools• Pre-selected technologies• Proven methods, DevOps
Technical Experts• Data Scientists• Experts in Machine Learning• API, Analytics, Software engineers
TechnicalPlatform
Technical Platform
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Connected buildings
Healthcare
Industrial IoT
Forestry
Marketing
Other
Rapid innovation since November 2016
Incubate ideas CommercialisationCreate ideas Run mature data-driven businesses
Intelligent BuildingPeili
Populationwellbeing mgmt.
Tieto Connect
Forest asset analyser
Innovation themes
+100 ideas being evaluated
Tieto AI for healthplatform
Tieto Vital
Problem –solution fit
Product -market fit Profitability*
Industrial analytics
Customer interaction engine
* - Profitability = positive operating margin on monthly basis
Intelligent hospital
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Advanced Machine Learning
Population
Segment
Care Path Identification● Hidden Markov Models● Probabilistic Graphical
Models
Segmentation● K-Means● K-Medoids● Hierarchical Clustering
Segment
Segment
Using Machine Learning to understand and predict Population Wellbeing
Forecasting● Logistic Regression● Neural Networks● Deep Learning● Random Forests
Information Retrieval from Text● Latent Dirichlet Allocation● Word Embeddings● N-grams● Regular Expressions● Levenshtein distance
Care Path
Care Path
Care Path Information● Demographics● Health risk factors● Care costs● Forecasts
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Cross-functional team composition
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Matti
Heidi
Krista
Jarno
Sami
Timo
Businessleadership
Design thinking &UX
Agilemanagement
Rapiddevelopment
Advancedmachine learning
Expert level
Senior level
Professional experience
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* Face-reading AI will soon detect yourpolitical beliefs and IQ
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* Michal Kosinski, Professor at Stanford University 2017
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*Automation replaced 800,000 workers…then created 3.5 million new jobs
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*Deloitte study of automation in the U.K. 2017
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* 84% of All Stock Trades in US Are By High-Frequency Computers
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* Morgan Stanley/Financial Times 2012
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Are we in control?
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“Facebook AICreates Its Own
Language
“Google’s AI isnow creating its
own AI”
Together we strive toimprove your businessusing disruptivetechnologies,for today andthe future.
http://tieto.com/[email protected]