Managed Business Process Services Reveal the Car’s Potential with Cognitive IoT Yuri Tsuji Manager, Product Planning Silicon Valley Center, Panasonic Automotive Systems Company of America Dr. Sebastian Wedeniwski IBM Distinguished Engineer, CTO Automotive/Aerospace & Defense/Industrial Products Global Industry
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Managed Business Process ServicesReveal the Car’s Potential with Cognitive IoTYuri TsujiManager, Product Planning Silicon Valley Center, Panasonic Automotive Systems Company of America
Dr. Sebastian WedeniwskiIBM Distinguished Engineer, CTO Automotive/Aerospace & Defense/Industrial Products Global Industry
What is Artificial Intelligence? What is the difference between Artificial Intelligence, Cognitive, and Machine Learning?
large amount of data
Artificial intelligence is technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of non-routine tasks.http://blogs.gartner.com/it-glossary/artificial-intelligence/
Cognitive systems use deep natural language processing and understanding to answer questions and provide recommendations and direction. The system hypothesizes and formulates possible answers based on evidence, can be trained through the ingestion of vast amounts of content (including unstructured and semi-structured information), and automatically adapts and learns from its mistakes and failures.(IDC's Worldwide Semiannual Cognitive Systems Spending Guide Taxonomy, March 2016)
Artificial intelligence and cognitive technology use advanced machine learning and natural language processing to discover insights in data, suggest actions, and continuously learn by mimicking natural human cognitive functions.(The Top Emerging Technologies To Watch: 2017 To 2021)
Divides Artificial Intelligence into three types: Artificial Narrow Intelligence (expertise in a field), Artificial General Intelligence (matches human intelligence across any field), and Artificial Super Intelligence. Machine Learning (NLP, deep learning, computer vision, data mining, etc.) is a key type of AI technology.
natural languageprocessing
Cognitive Systemmachinelearning
insights & confidence
Cognitive Systems enable decision makers to act with confidence;they do not make decisions that mimic human intelligence like Artificial Intelligence
Example IBM Watson Conversation Service
Description• Enables Developers with Business
users to create natural, human-like conversational experiences across all channels (e.g. mobile, messaging, robots, etc.)
• Combines Intents, Entities and Dialog into a seamless experience
Example IBM Watson Conversation ServiceIntents and Entities for an example Coffee Service
Example IBM Watson Conversation ServiceDialog for an example Coffee Service – machine learning conversation flows
Example IBM Watson Conversation ServiceTwo ways to make an order: know exactly what you want or need a suggestion
Example IBM Watson Conversation Service in Commerce domainBlockchain will get a critical platform in a software-defined online&offline architecture
Cognitive Mobility Cloud
Personal Profile
Vehicle and Location Based System Map Analytics
Conversation Event Management
Content Integration
Real-time Analysis
Cognitive VehicleVehicle Electronics HMI Agent
Mic Audio
Steering Wheel
Head Unit
Instrument Panal
Heads Up Display
Vehicle Probe Data
Hybrid Conversation
User Data
STT TTS
Vehicle Event Manager
Connection Manager
Connection Management
Data Transformation
Location Data Processing
Location Analysis
Data Orchestration
Personal Operational Data
STT
TTS
Dialog Manager
NLU
Personal History
Intelligent Module
Privacy
Shared ledger
Smart contract
Consensus
Every piece of software is like a contract (some signed by OEM, some by driver/owner) where aconsensus with all software parties is needed in a Cognitive Vehicle. All changes are immutable in a distributed, shared Bill of Materials across various software configuration patterns.
Example IBM Watson Conversation Service in Commerce domainIntegration example for the In-Vehicle Infotainment
But conversation is only one use case of 142 other related to a Cognitive Vehicle
…further detailsThe Mobility Revolution in the Automotive Industry: How not to miss the digital turnpike!
The Internet of Things, Cloud Computing, Connected Vehicles, Big Data, Analytics – what does this have to do with the automotive industry? This book provides information about the future of mobility trends resulting from digitization, connectedness, personalization and data insights. The automotive industry is on the verge of undergoing a fundamental transformation. Large, traditional companies in particular will have to adapt, develop new business models and implement flexibility with the aid of appropriate enterprise architectures. Transforming critical business competencies is the key concept. The vehicle of the digital future is already here –who will shape it?