Cognitive Digital Twin by Fariz Saračević
2 likes•1,061 views
The document discusses cognitive digital twins, artificial intelligence (AI), and their significance in industries experiencing disruption due to big data and advanced technologies. It details cognitive engineering scenarios and IBM's offerings like Watson analytics and various cognitive advisors that enhance decision-making and operational efficiencies by leveraging real-time data. The aim is to optimize design, build, and operational processes through cognitive analytics, ultimately leading to improved innovation and asset management.
![IBM Confidential – Shared under NDA5
• Cognitive computing (CC) describes technology platforms that, broadly speaking, are
based on the scientific disciplines of artificial intelligence and signal processing. These
platforms encompass machine learning, reasoning, natural language
processing, speech recognition and vision (object recognition), human–computer
interaction, dialog and narrative generation, among other technologies.[1][2]
• Artificial intelligence (AI, also machine intelligence, MI) is
apparently intelligent behaviour by machines, rather than the natural intelligence (NI) of
humans and other animals. In computer science AI research is defined as the study of
"intelligent agents": any device that perceives its environment and takes actions that
maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence"
is applied when a machine mimics "cognitive" functions that humans associate with
other human minds, such as "learning" and "problem solving".[2]
Wikipedia Definitions](https://image.slidesharecdn.com/93cognitivedigitaltwin-171022081015/85/Cognitive-Digital-Twin-by-Fariz-Saracevic-5-320.jpg)
Cognitive Digital Twin by Fariz Saračević
- 1. Cognitive Digital Twin Fariz Saracevic, IBM, Senior Offering Manager HOTEL EUROPE, October 21st
- 3. IBM Confidential – Shared under NDA3 • What is cognitive/artificial intelligence? • Industry disruption and big data • Why cognitive engineering • Cognitive engineering scenarios – Watson Analytics and Cognitive Quality Advisor – Cognitive Requirements Advisor – Cognitive Modeling Advisor • Demo Outline
- 4. IBM Confidential – Shared under NDA4 Is it Science? Is it Technology? Is it Magic? What is Cognitive/Artificial Intelligence?
- 5. IBM Confidential – Shared under NDA5 • Cognitive computing (CC) describes technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.[1][2] • Artificial intelligence (AI, also machine intelligence, MI) is apparently intelligent behaviour by machines, rather than the natural intelligence (NI) of humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2] Wikipedia Definitions
- 6. IBM Confidential – Shared under NDA6 What is Cognitive/Artificial Intelligence? Cognitive/Artificial Intelligence is a Science that uses Technology to Create Magic
- 7. IBM Confidential – Shared under NDA7 We are going through an era of disruption
- 8. IBM Confidential – Shared under NDA8 Dramatic technology forces and big data are behind the “creative disruption” Digital commerce Cloud The sharing economy Mobile IoT Blockchain Cognitive AI Machine learning Data is the currency of the future Old intermediaries no longer needed Explosion of dataPervasive Interconnectivity 34B connected devices in 2020 180 Zettabytes in 2025
- 9. IBM Confidential – Shared under NDA9 Data is the currency of the future
- 10. 10 Digital twin: getting a clear view new user experience cognitive analytics digital threads cognitive sensing
- 11. Cognitive Digital Twin: Blending Digital and Physical Worlds Cognitive digital twin: A virtual representation of a physical object or system across its lifecycle (design, build, operate) using real time data from IoT sensors and other sources to enable learning, reasoning and automatically adjusting for improved decision making. Build Design Operate A comprehensive set of capabilities and information models Enable shorter design cycle and speed up innovation Support change management and solution impact analysis • Provide tight linkage between design, build, and operate • Optimize asset operation & performance • Leverage operational insights back to design Better understanding of design for rapid development Increased transparency for more efficient manufacturing Empowered decision making for optimized operation
- 12. Cognitive Digital Twin: Leveraging cognitive analytics Build Design Operate Cognitive Analytics Analytic Insights
- 13. IBM Confidential – Shared under NDA13 Cognitive Engineering Journey Connect & Configure Monitor & Visualize Analyze & Predict Become Cognitive • Instrument your assets to collect data • Connect data sources • Collect, aggregate & explore • Monitor data & automate actions • Visualize in dashboards • Cross site, cross fleet • Gain insights from the data • Produce models, predict outcomes, & make recommendations • Bring in cognitive components • Unstructured data • Machine learning • Cognitive processing
- 14. IBM Confidential – Shared under NDA14 Our focus areas for cognitive Continuous Engineering Cognitive Analytics Manage Requirements Manage Development Build and Deploy OperateAnalyze Design for Analytics Analytics for Design Design System Verify and Validate Design and DeliverDesign and develop products/solutions Analyze data to inform Business Leaders, Engineers and Developers IoT-enabled products/systems
- 15. IBM Confidential – Shared under NDA15 Fully Automated Intelligence Natural Language Dialogue Guided Analytic Discovery Single Analytics Experience Advanced IBM invention that provides powerful, easy-to-use, self-service analytics capabilities in the cloud IBM Watson Analytics Overview
- 16. Semantic Aware requirements Operational data used as inputs for Requirements analysis/elicitation Requirements Quality Assessment Detect similar and/or duplicate requirements Automated lifecycle transition from requirements to design Model Based Systems Engineering Operations Manufacturing Engineering Requirements
- 17. IBM Confidential – Shared under NDA17 Cognitive Requirements Advisor Display assessment score based upon presence of valued entities and relationships By pressing on the “Tell Me Why?” button the user can begin a chat with the tool to understand the score received and what to do to improve it. By pressing on the “Score All” button, the user can score the entire module.
- 18. IBM Confidential – Shared under NDA18 Cognitive Modelling Advisor Key Benefits • Turn a 100 page document into a starting point engineering model in a few minutes using Watson… this can be up to 100 times faster • Capture essential aspects of long and complicated documents very quickly • Improve requirement quality and structure Prerequisites Watson document converter Watson Natural Language Understanding API Rhapsody API to populate UPDM model Rhapsody Visualizer Working to make this available as a service engagement offering
- 19. IBM Confidential – Shared under NDA19 Cognitive Quality Advisor Overview •Analyze tests which find defects or don’t find defects •Identify tests which should be run more frequently, or retired •Maximize benefits; Find more “code change” defects •Minimize overhead; Eliminate or restructure low value tests •Leads to cost savings for customers
- 20. IBM Confidential – Shared under NDA20 Demos Cognitive Quality Advisor Cognitive Requirements Advisor Cognitive Modelling Advisor Contact Names Fariz Saracevic, Senior Offering Manager, [email protected] Find more information
- 21. THANK YOU!