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Thorsten Schröer
Director Electronics Industry Europe
IBM Deutschland GmbH
thorsten.schroeer@de.ibm.com
IBM Global Electronics Industry
The era of cognitive and IoT in industrial sector
July 2016
Electronics Trends
4
Cognitive technology is launching the Next
Era of Computing
Tabulating
Systems Era
Cognitive Systems
Era
Programmable
Systems Era
5
6
IBM Watson IoT Platform - Connect
Connect and manage devices, networks, and gateways
IBM Watson IoT Platform - Information
Management
Integrating information, structured and unstructured, from
devices, people, and the world around us
IBM Watson IoT Platform - Analytics
Gaining insights from information using Realtime, Predictive
and Cognitive analytics
IBM Watson IoT Platform - Risk Management
Ensuring you leverage the right information from the right
sources, and the right software runs where you need it
The IBM Watson IoT Platform for Electronics
Everything you need to transform with IoT
Watson solutions can enable value along
the entire electronics ecosystem
Manufacturing
Sales
Customer Experience
Warranty and Repair
Product Development
Cognitive in Action
Siemens Building
Technologies and
IBM Watson IoT
from digital buildings
partnership
KONE develops an IoT platform based on IBM’s offerings
Internet of Things (IoT) service will
connect 2 million of KONE’s installed
base of elevators to the IBM Bluemix
based Cloud Platform in 5 years
The platform will enable solutions
for KONE to remotely monitor,
maintain and update the equipment
and act as an enabler for new People
Flow solutions and services for
building owners, tenants, users and
facility managers/partners
The IoT Platform enables KONE's digital transformation journey on their way to
delivering the best People Flow experience
Video: https://www.youtube.com/watch?v=VzPYifAQX1Q
© 2014 International Business Machines Corporation 12
IBM Watson to help Robots learn faster
Robots are using Watson’s machine learning algorithms and AI to run intelligent and more personalised
apps and other services. This is the latest step in IBM’s Watson expansion.
Solution
 Employee identification via ID card
 Worker guidance via step-by-step
visualization of work instructions
 Qualification directly
at the workplace
 Online feedback possible
 Additional information provided
via integration of Wearables
 Integration of
automated fault detection
 Automated triggering of work
instructions via RFID
 Option: Workplace-specific
configuration of screen masks
Technology
 Smart Cards (worker identification)
 Assistance System
(system-based worker guidance)
 RFID (triggering of work descriptions)
 Integration Platform
Watson in Assembly & Manufacturing – John Deere Mannheim
MIELE home appliances, a steam oven connected to IBM IoT Plattform,
and “Chef Watson“ and enables users to ask Chef Watson for recipe
suggestions via a mobile device. By pushing a button the MIELE oven is
programmed automatically and step-by-step instructions for preparing the
meal are displayed on the device.
Cognitive Cooking
www.ibmchefwatson.com
©2016 IBM Corporation 15
Muenster based Startup
Watson IoT Deployment
+
Expert Resolve
Professional
equipment
service
Expert Factory
Production engineering
Cognitive & Edge Technology Collaboration
Joint Solution
• First of its kind joint approach
to IoT data analytics
• Enable immediate IoT analytics
at the edge of the network
• Collect data for longer term
analysis in the cloud
• Architectural approach to
address critical challenges
for distributed environments
Edge
(Cisco Router / UCS / Server)
IoT Device IoT Device
IBM Watson IoT
Platform, Business
Analytics and Cognition
Cisco Edge,
Fog Computing
& Edge Analytics
IBM Watson IoT Headquarter Munich/Germany
Connect &
Configure
Develop &
Visualize
Analyze &
Predict
Become
Cognitive
• Instrument your
equipment/assets to
collect data
• Gather already
existing data
• Visualize your data in
meaningful
dashboards
• Start to see patterns
• Build with Bluemix
• Gain insights from the
data
• Produce models,
prediction
recommendations
• Bring in cognitive
components
• Machine learning
• Cognitive processing
Asset needs to
be connected,
outfitted with
sensor or data
gathered
Use analytical
models to
predict
equipment
failures and
Use the platform to
quickly build
dashboards for data
visualization
Use speech,
video, image
to diagnose
complex
problems
STAIRCASE TO COGNITIVE MANUFACTURING
Thorsten Schröer
Director Electronics Industry Europe
IBM Deutschland GmbH
thorsten.schroeer@de.ibm.com
IBM Global Electronics Industry
The era of cognitive and IoT in industrial sector
July 2016

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Cognitive era in global electronics industry public version

  • 1. Thorsten Schröer Director Electronics Industry Europe IBM Deutschland GmbH thorsten.schroeer@de.ibm.com IBM Global Electronics Industry The era of cognitive and IoT in industrial sector July 2016
  • 2.
  • 4. 4 Cognitive technology is launching the Next Era of Computing Tabulating Systems Era Cognitive Systems Era Programmable Systems Era
  • 5. 5
  • 6. 6 IBM Watson IoT Platform - Connect Connect and manage devices, networks, and gateways IBM Watson IoT Platform - Information Management Integrating information, structured and unstructured, from devices, people, and the world around us IBM Watson IoT Platform - Analytics Gaining insights from information using Realtime, Predictive and Cognitive analytics IBM Watson IoT Platform - Risk Management Ensuring you leverage the right information from the right sources, and the right software runs where you need it The IBM Watson IoT Platform for Electronics Everything you need to transform with IoT
  • 7. Watson solutions can enable value along the entire electronics ecosystem Manufacturing Sales Customer Experience Warranty and Repair Product Development
  • 9. Siemens Building Technologies and IBM Watson IoT from digital buildings partnership
  • 10. KONE develops an IoT platform based on IBM’s offerings Internet of Things (IoT) service will connect 2 million of KONE’s installed base of elevators to the IBM Bluemix based Cloud Platform in 5 years The platform will enable solutions for KONE to remotely monitor, maintain and update the equipment and act as an enabler for new People Flow solutions and services for building owners, tenants, users and facility managers/partners The IoT Platform enables KONE's digital transformation journey on their way to delivering the best People Flow experience Video: https://www.youtube.com/watch?v=VzPYifAQX1Q
  • 11.
  • 12. © 2014 International Business Machines Corporation 12 IBM Watson to help Robots learn faster Robots are using Watson’s machine learning algorithms and AI to run intelligent and more personalised apps and other services. This is the latest step in IBM’s Watson expansion.
  • 13. Solution  Employee identification via ID card  Worker guidance via step-by-step visualization of work instructions  Qualification directly at the workplace  Online feedback possible  Additional information provided via integration of Wearables  Integration of automated fault detection  Automated triggering of work instructions via RFID  Option: Workplace-specific configuration of screen masks Technology  Smart Cards (worker identification)  Assistance System (system-based worker guidance)  RFID (triggering of work descriptions)  Integration Platform Watson in Assembly & Manufacturing – John Deere Mannheim
  • 14. MIELE home appliances, a steam oven connected to IBM IoT Plattform, and “Chef Watson“ and enables users to ask Chef Watson for recipe suggestions via a mobile device. By pushing a button the MIELE oven is programmed automatically and step-by-step instructions for preparing the meal are displayed on the device. Cognitive Cooking www.ibmchefwatson.com
  • 15. ©2016 IBM Corporation 15 Muenster based Startup Watson IoT Deployment
  • 17. Cognitive & Edge Technology Collaboration Joint Solution • First of its kind joint approach to IoT data analytics • Enable immediate IoT analytics at the edge of the network • Collect data for longer term analysis in the cloud • Architectural approach to address critical challenges for distributed environments Edge (Cisco Router / UCS / Server) IoT Device IoT Device IBM Watson IoT Platform, Business Analytics and Cognition Cisco Edge, Fog Computing & Edge Analytics
  • 18. IBM Watson IoT Headquarter Munich/Germany
  • 19. Connect & Configure Develop & Visualize Analyze & Predict Become Cognitive • Instrument your equipment/assets to collect data • Gather already existing data • Visualize your data in meaningful dashboards • Start to see patterns • Build with Bluemix • Gain insights from the data • Produce models, prediction recommendations • Bring in cognitive components • Machine learning • Cognitive processing Asset needs to be connected, outfitted with sensor or data gathered Use analytical models to predict equipment failures and Use the platform to quickly build dashboards for data visualization Use speech, video, image to diagnose complex problems STAIRCASE TO COGNITIVE MANUFACTURING
  • 20. Thorsten Schröer Director Electronics Industry Europe IBM Deutschland GmbH thorsten.schroeer@de.ibm.com IBM Global Electronics Industry The era of cognitive and IoT in industrial sector July 2016

Editor's Notes

  1. Cognitive lernt…ist nicht am ersten Tag am besten..aber am letzten Ein ERP ist am besten an Tag 1
  2. In welcher Stadt wurden die Mauern 17 mal wieder aufgebaut Kathleen Kenyon Ausgrabung dieser Stadt erwähnt zeigt , dass die Stadtmauern 17 mal wieder aufgebaut wurden
  3. The campus environment will bring together 1000 IBM developers, consultants, researchers and designers to drive deeper engagement with clients and partners, and will also serve as an innovation lab for data scientists, engineers and programmers building a new class of connected solutions at the intersection of cognitive computing and the IoT 8 IoT CEC: Asia, Europe and the Americas. Locations include Beijing, China; Boeblingen, Germany; Sao Paulo, Brazil; Seoul, Korea; Tokyo, Japan; and Massachusetts, North Carolina, and Texas in United States Natural Language Processing: So users can interact with systems and devices using simple human language. Machine Learning: To automate data processing by continuously learning from every interaction with data. Video/Image/Audio Analytics: To find correlations and anomalies in unstructured data from those sources. Text Analytics: To draw insights from such things as Twitter feeds, blogs and call center transcripts.