Watson & Artificial Intelligence in Business

Transcription

1 Watson & Artificial Intelligence in Business Introduction, Overview and Cross Industry Use Cases Dr. Dirk Michelsen, Managing Consultant, IBM Watson Group Dietikon,

2 Agenda 1. A History of Artificial Intelligence 2. The Era of Cognitive Computing and real world examples 3. Cross Industry Use Cases 4. Projects & Next Steps

3 The worlds first chatbot program ELIZA was invented by Joseph Weizenbaum 1966

4 IBM s Deep Blue chess computer defeats the reigning world champion Gary Kasparov by IBM 1997

5 IBM s Watson defeats the two champions Ken Jennings and Brad Rutter in Jeopardy! by IBM 2011

6 IBM Watson wins Jeopardy!

7 IBM Watson wins Jeopardy!

8 IBM Watson wins Jeopardy!

9 CIMON supports the ISS By DLR, AIRBUS & IBM

10 We are at the beginning of a new era: The cognitive era of AI systems that understand, reason, learn & interact Tabulating Systems Era Programmable Systems Era Cognitive Systems Era 1900s 1950s Today...

11 We are at the beginning of a new era: The cognitive era of AI systems that understand, reason, learn & interact Tabulating Systems Era Programmable Systems Era Cognitive Systems Era Computer get trained, not programmed 1900s 1950s Today...

12 Agenda 1. A History of Artificial Intelligence 2. The Era of Cognitive Computing and real world examples 3. Cross Industry Use Cases 4. Projects & Next Steps

13 The new era of Cognitive Computing: Systems that understand, reason, learn and interact UNDERSTAND REASON LEARN INTERACT Cognitive systems understand imagery, language and other unstructured data like humans do. They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. With abilities to see, talk and hear, cognitive systems interact with humans in a natural way.

14 The new era of Cognitive Computing: Systems that understand, reason, learn and interact UNDERSTAND REASON LEARN INTERACT Cognitive systems understand imagery, language and other unstructured data like humans do. They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. With abilities to see, talk and hear, cognitive systems interact with humans in a natural way.

15 Understand: From Natural Language to Natural Image & Video 1980 s 2012 Today Scanned Digits Natural Photos Vision + Language

16 Understand: Body Worn Camera Video Analytics for Enhanced Law Enforcement Facial Attributes Person Attributes Attributes Eye Region Gender Eyewear Race Ethnicity Age Skin Tone Head Region Bald Head Color Hat Hair Type Mouth Region Facial Hair Body Pose Upper and Lower Clothing Category Length Color Texture

17 The new era of Cognitive Computing: Systems that understand, reason, learn and interact UNDERSTAND REASON LEARN INTERACT Cognitive systems understand imagery, language and other unstructured data like humans do. They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. With abilities to see, talk and hear, cognitive systems interact with humans in a natural way.

18 Reason: Banking: Hilda A cognitive Robo Advisor

19 The new era of Cognitive Computing: Systems that understand, reason, learn and interact UNDERSTAND REASON LEARN INTERACT Cognitive systems understand imagery, language and other unstructured data like humans do. They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. With abilities to see, talk and hear, cognitive systems interact with humans in a natural way.

20 Learn: Scalable Machine Learning Techniques with Deep Learning Learning representations of data by modeling high-level abstractions Uses model architectures with multiple layers of non-linear transforms Overcomes challenges of designing hand-crafted features for tasks cat

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22 The new era of Cognitive Computing: Systems that understand, reason, learn and interact UNDERSTAND REASON LEARN INTERACT Cognitive systems understand imagery, language and other unstructured data like humans do. They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. With abilities to see, talk and hear, cognitive systems interact with humans in a natural way.

23 Interact: Personalized learning through intelligent toys that understand natural language

24 Agenda 1. A History of Artificial Intelligence 2. The Era of Cognitive Computing and real world examples 3. Cross Industry Use Cases 4. Projects & Next Steps

25 Today Watson is AI for Business Applications Compliance Assist Customer Care Expert Assist Voice of the Customer Watson Assistant for Industry Watson Cybersecurity Compare & Comply Live Engage Workday Service Management APIs Watson APIs Data Science / Analytics Watson Studio Connect & Access Data Search & Find Relevant Data Prepare Data (Ingest, Curate, & Enrich) Build & Train AI Models Deploy AI Models Monitor, Analyze, Manage Maschine Learning / Deep Learning Services Watson Machine Learning and Deep Learning Service Data Integration & Governance Watson Knowledge Catalog Intelligent AI Asset Catalog Model Governance, Traceability & Lineage Active Policy Enforcement AI Powered Catalog Search and Social Collaboration Data/Knowledge Kits

26 with multiple Watson APIs

27 and supporting the following main use cases #1 #2 #3 #4 #5 Name Description Technology Benefits Customer Support (User Support by chat/voice) Expert Support (User Support by search/analytics) Input Management (Document Processing) Data Science / Analytics (Voice of the Customer / Company / Community, ) Maintenance Support (Maintenance) User Support with Chats and/or Speech Dialogs based on Watson Agent Support with Data Search and/or Data Exploration Tools Support for Service Center Agents with automatic (pre) processing of documents Support for decision makers with Dashboards & Content Analytics Support of a variety of maintenance activities Watson Assist / Conversation / Virtual Agent + adjacent technologies (e.g. Speech->Text & Text->Speech) Watson Discovery & adjacent technologies Watson Knowledge Studio + Watson Studio adjacent technologies Watson Studio Watson Visual Recognition + adjacent technologies Cost Reduction & Improved Availability Cost Reduction based on Efficiency Gains Cost Reduction based on Efficiency Gains Improved Decisions Reduced maintenance costs These are the top 5 cross industry use cases on which we currently work in DACH

28 #1: Customer Support / Example Ask Mercedes Chat, Voice & Visual Recognition

29 #1: Customer Support / Example Ford Visual Recognition for Augmented Reality

30 #1: Customer Support / Example Chabot für Inter Versicherung GBS in the Cognitive Era / 2017 IBM Corporation

31 #1: Customer Support / Höhen & Tiefen beim Chatbot-Bau 31 31

32 #2: Expert Assist / Example Data Exploration Live link here Access all sources or individual source Dynamic categorization Setup alert to notify change Identify topical experts Narrow down results set Refinements based on metadata Highly relevant, secure & personalized results Comment results Tag results Rate results Store & share results 32

33 #3: Input Management / Example VKB Automatic (Pre) Processing of Documents (Example)

34 #4: Data Science & Analytics / Example Watson Studio Visualization within a notebook

35 #4: Data Science & Analytics / Example Watson Studio Export of Models into TensorFlow etc.

36 #4: Data Science / Analytics Early Trend Detection (Voice of the Community) Challenge Fraunhofer needs to identify and analyze innovation trends About 100 scientists need to be up to date on several hundred technology trends Flexible research in areas of interest to a broad variety of focus areas and buyers Solution IBM Watson Explorer serves as research tool to support researcher read press and research publications A role based work place allows superior knowledge management Business Value Early identification of important Technology Trends Use leading tool for market research Read and evaluate large volumes of unstructured such as technical publications, patent DB`s and product descriptions

37 #5: Maintenance Support / Example Visual Inspection Maintenance of Cargo Wagons / Electricity Pylons Identify where Damages are Classify what type of damage Determine confidence to take action Current State: Camera take images Manually zooming in on images to determine damage area Manually classification Challenges Costly, time intensive, manual, fraught with human errors and judgment discrepancies between operators and technicians Class Confidence split pin missing.67 missing.41 rusty.28 slivered.08 off-center.04 broken.02

38 Main Benefits of AI: Better Insights & Cost Reduction Increased number of positive decisions Reduced number of human activities Increased positive impact of decisions decreased number of negative decisions Better Insights = Better Decisions Reduced Costs through Automatization Reduced effort of human activities decreased negative impact of decisions Reduced failure rate of human activities

39 Agenda 1. A History of Artificial Intelligence 2. The Era of Cognitive Computing and real world examples 3. Cross Industry Use Cases 4. Projects & Next Steps

40 Project Approach as Watson Business Solution: Minimal viable product within 4 weeks Configured, trained, and delivered in 4 weeks Prepare Execute Support 2 Weeks 2 Weeks 2 Months IBM Help Me Do It IBM Do It for Me IBM developed, complex production projects Priced, and pre-approved as part of the offering Follow-on, not part of offering

41 In order to start your Cognitive Journey today to follow the increasing speed of AI and to stay a leading player in your industry Should been done: Study Artificial Intelligence & Cognitive Technologies Set up a Team & create a Vision Must-do now: Do Pilots & Prototypes to assess Value Should-do now: Realize real projects along internal use cases Can-do now: Realize real projects along external use cases

42 Available at DHL: IBM Corporation

43 Sehen & Erkennen: Watson Visual Recognition erkennt Bild Out-of-the-Box 2 See & Recognize Visual Recognition Service 40-45