Transforming the IT services lifecycle with AI technologies. (2018)
- Record Type:
- Book
- Title:
- Transforming the IT services lifecycle with AI technologies. (2018)
- Main Title:
- Transforming the IT services lifecycle with AI technologies
- Further Information:
- Note: Kristof Kloeckner, John Davis, Nicholas C. Fuller, Giovanni Lanfranchi, Stefan Pappe, Amit Paradkar, Larisa Shwartz, Maheswaran Surendra, Dorothea Wiesmann.
- Authors:
- Kloeckner, Kristof
Davis, John
Fuller, Nicholas C
Lanfranchi, Giovanni
Pappe, Stefan
Paradkar, Amit
Shwartz, Larisa
Surendra, Maheswaran
Wiesmann, Dorothea - Contents:
- Intro; Abstract; Contents; Introduction; The Main Areas for Applying AI to the IT Service Lifecycle; Transforming the IT Services Lifecycle into a System of AI-Supported Feedback Loops; Core Elements of an AI Platform for the Services Lifecycle; Consumable Services; Common Content and Data; Common Services; Establishing an AI-based Innovation Eco-System; Overview of the Content of the Book; Gaining Insight from Operational Data for Automated Responses; Gaining Insight from Operational Data for Services Optimization; AI for IT Solution Design; AI for Conversational Self-service Systems ConclusionReferences; Gaining Insight from Operational Data for Automated Responses; Background; Eliminating Non-actionable Tickets; Challenges; Solution Overview; Finding Predictive Rules for Non-actionable Alerts; Predictive Rules; Predictive Rule Generation; Predictive Rule Selection; Why Choose a Rule-based Predictor?; Calculating Waiting Time for Each Rule; Differentiation; Ticket Analysis and Resolution; Challenges and Proposed Solutions; Ticket Resolution Quality Quantification; Feature Description; Findings; Deep Neural Ranking Model; Differentiation; Auto-resolving Actionable Tickets Challenges and SolutionDifferentiation; Dataset Description; Conclusion and Future Work; References; Gaining Insight from Operational Data for Service Optimization; Background; Best of Breed and Opportunity Identification; Challenges; Solution; Ticket Vectorization; Removing Tickets with GenericIntro; Abstract; Contents; Introduction; The Main Areas for Applying AI to the IT Service Lifecycle; Transforming the IT Services Lifecycle into a System of AI-Supported Feedback Loops; Core Elements of an AI Platform for the Services Lifecycle; Consumable Services; Common Content and Data; Common Services; Establishing an AI-based Innovation Eco-System; Overview of the Content of the Book; Gaining Insight from Operational Data for Automated Responses; Gaining Insight from Operational Data for Services Optimization; AI for IT Solution Design; AI for Conversational Self-service Systems ConclusionReferences; Gaining Insight from Operational Data for Automated Responses; Background; Eliminating Non-actionable Tickets; Challenges; Solution Overview; Finding Predictive Rules for Non-actionable Alerts; Predictive Rules; Predictive Rule Generation; Predictive Rule Selection; Why Choose a Rule-based Predictor?; Calculating Waiting Time for Each Rule; Differentiation; Ticket Analysis and Resolution; Challenges and Proposed Solutions; Ticket Resolution Quality Quantification; Feature Description; Findings; Deep Neural Ranking Model; Differentiation; Auto-resolving Actionable Tickets Challenges and SolutionDifferentiation; Dataset Description; Conclusion and Future Work; References; Gaining Insight from Operational Data for Service Optimization; Background; Best of Breed and Opportunity Identification; Challenges; Solution; Ticket Vectorization; Removing Tickets with Generic Resolutions; Differentiation; Cognitive Analytics for Change; Challenges; Solution; Change Data; Configuration Data; Data Discovery and Clean-Up; Structured Fields; Unstructured Fields; Risk Prediction Algorithm; Differentiation; Change Action Identification; Dataset Description Conclusion and Future WorkReferences; AI for Solution Design; Background; Extraction and Topical Classification of Requirement Statements from Client Documents; Challenge; Solution Overview; Differentiation; Matching Client Requirements to Service Capabilities; Challenge; Solution Overview; Differentiation; Social Curation and Continuous Learning; Challenge; Solution Overview; Differentiation; Architecture; Architectural considerations; Conclusion; References; Conversational IT Service Management; Background; Architecture; Ontology Driven Conversation; Ontology Driven Knowledge Graph Ontology Driven Question AnalysisOntology Driven Context Resolution; Troubleshooting Questions; Guided Troubleshooting; Long Tail Search Through Orchestrator; Natural Language Interface to Structured Data; Natural Language Interface to Service Requests; Empirical Evaluation; Ontology Driven Question Analysis; Troubleshooting Questions; Conclusion and Future Work; References; Practical Advice for Introducing AI into Service Management; Establishing a Holistic Strategy for AI Applying Agile Transformation Principles; Building a Data-Driven Culture; Establishing a Knowledge Lifecycle Strategy … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (ix, 100 pages), illustrations
- Subjects:
- 004
Computer science
Information technology -- Management
Artificial intelligence
COMPUTERS / Computer Literacy
COMPUTERS / Computer Science
COMPUTERS / Data Processing
COMPUTERS / Hardware / General
COMPUTERS / Information Technology
COMPUTERS / Machine Theory
COMPUTERS / Reference
Business & Economics -- Operations Research
Business & Economics -- Information Management
Operational research
Knowledge management
Information Systems
Operations research
Knowledge management
Information architecture
Electronic books - Languages:
- English
- ISBNs:
- 9783319940489
3319940481 - Related ISBNs:
- 9783319940472
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed September 27, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.331404
- Ingest File:
- 01_274.xml