Artículos relacionados a Deploying AI in the Enterprise: IT Approaches for Design,...
Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing - Tapa blanda
Sinopsis
Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise.
Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments. And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions.
What You Will Learn
- Understand the most important AI concepts, including machine learning and deep learning
- Follow best practices and methods to successfully deploy and operationalize AI solutions
- Identify critical components of AI information architecture and the importance of having a plan
- Integrate AI into existing initiatives within an organization
- Recognize current limitations of AI, and how this could impact your business
- Build awareness about important and timely AI research
- Adjust your mindset to consider AI from a holistic standpoint
- Get acquainted with AI opportunities that exist in various industries
Who This Book Is For
IT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Eberhard Hechler is an Executive Architect at the IBM Germany R&D Lab. He is a member of the DB2 Analytics Accelerator development group and addresses the broader data and AI on IBM Z scope, including machine learning for z/OS. After two-and-a-half years at the IBM Kingston Lab in New York, he worked in software development, performance optimization, IT/solution architecture and design, open source (Hadoop and Spark) integration, and master data management. He is a member of the IBM Academy of Technology Leadership team, and co-authored the following books: Enterprise MDM, The Art of Enterprise Information Architecture, and Beyond Big Data.
Martin Oberhofer is an IBM Distinguished Engineer and Executive Architect. He is a technologist and engineering leader with deep expertise in master data management, data governance, data integration, metadata and reference data management, artificial intelligence, and machine learning. He is accomplished at translating customer needs into software solutions, and works collaboratively with globally distributed development, design, and management teams. He guides development teams using Agile and DevOps software development methods. He is an elected member of the IBM Academy of Technology and the TEC CR. He is a certified IBM Master Inventor with over 100 granted patents and numerous publications, including four books.
Thomas Schaeck is an IBM Distinguished Engineer at IBM Data and AI, leading Watson Studio on IBM Cloud (Cloud Pak for Data) Desktop and integration with other IBM offerings. Previously, he led architecture and technical strategy for IBM Connections, WebSphere Portal, and IBM OpenPages. He also led architecture and technical direction for WebSphere Portal Platform and development of the WebSphere Portal Foundation, initiated and led the portal standards Java Portlet API and OASIS WSRP and Apache open source reference implementations, and initiated and led the Web 2.0 initiative for WebSphere Portal.
De la contraportada
Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI’s capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise.
Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments. And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions.
What You Will Learn
- Understand the most important AI concepts, including machine learning and deep learning
- Follow best practices and methods to successfully deploy and operationalize AI solutions
- Identify critical components of AI information architecture and the importance of having a plan
- Integrate AI into existing initiatives within an organization
- Recognize current limitations of AI, and how this could impact your business
- Build awareness about important and timely AI research
- Adjust your mindset to consider AI from a holistic standpoint
- Get acquainted with AI opportunities that exist in various industries
This book is for IT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context.
Eberhard Hechler is an Executive Architect at the IBM Germany R&D Lab. He is a member of the DB2 Analytics Accelerator development group and addresses the broader data and AI on IBM Z scope, including machine learning for z/OS. After two-and-a-half years at the IBM Kingston Lab in New York, he worked in software development, performance optimization, IT/solution architecture and design, open source (Hadoop and Spark) integration, and master data management. He is a member of the IBM Academy of Technology Leadership team, and co-authored the following books: Enterprise MDM, The Art of Enterprise Information Architecture, and Beyond Big Data.
Martin Oberhofer is an IBM Distinguished Engineer and Executive Architect. He is a technologist and engineering leader with deep expertise in master data management, data governance, data integration, metadata and reference data management, artificial intelligence, and machine learning. He is accomplished at translating customer needs into software solutions, and works collaboratively with globally distributed development, design, and management teams. He guides development teams using Agile and DevOps software development methods. He is an elected member of the IBM Academy of Technology and the TEC CR. He is a certified IBM Master Inventor with over 100 granted patents and numerous publications, including four books.
Thomas Schaeck is an IBM Distinguished Engineer at IBM Data and AI, leading Watson Studio on IBM Cloud (Cloud Pak for Data) Desktop and integration with other IBM offerings. Previously, he led architecture and technical strategy for IBM Connections, WebSphere Portal, and IBM OpenPages. He also led architecture and technical direction for WebSphere Portal Platform and development of the WebSphere Portal Foundation, initiated and led the portal standards Java Portlet API and OASIS WSRP and Apache open source reference implementations, and initiated and led the Web 2.0 initiative for WebSphere Portal.
?
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 44,93
EUR 17,13 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 42,32
EUR 10,71 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Deploying AI in the Enterprise: IT Approaches for Design,...
Imagen del vendedor
Deploying AI in the Enterprise: It Approaches for Design, Devops, Governance, Change Management, Blockchain, and Quantum Computing (Paperback or Softback)
Publicado por
Apress 9/26/2020, 2020
ISBN 10: 1484262050
ISBN 13: 9781484262054
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Deploying AI in the Enterprise: It Approaches for Design, Devops, Governance, Change Management, Blockchain, and Quantum Computing 1.37. Book. Nº de ref. del artículo: BBS-9781484262054
Cantidad disponible: 5 disponibles
Imagen de archivo
Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781484262054
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Deploying AI in the Enterprise : IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 41944146-n
Cantidad disponible: 15 disponibles
Imagen del vendedor
Deploying AI in the Enterprise : IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41944146
Cantidad disponible: 15 disponibles
Imagen del vendedor
Deploying AI in the Enterprise : IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41944146
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Deploying AI in the Enterprise : IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 41944146-n
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Deploying AI in the Enterprise
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Highlights the current limitations of AI by comparing AI with human-oriented cognitive capabilities Provides actionable guidance and best practices on how to successfully deploy sustainable AI solutionsIs ho. Nº de ref. del artículo: 389990600
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781484262054_new
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
Impresión bajo demandaLibrería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 684. Nº de ref. del artículo: C9781484262054
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Deploying AI in the Enterprise
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Your company has committed to AI. Congratulations, now what This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise.Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments.And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions.What You Will LearnUnderstand the most important AI concepts, including machine learning and deep learningFollow best practices and methods to successfully deploy and operationalize AI solutionsIdentify critical components of AI information architecture and the importance of having a planIntegrate AI into existing initiatives within an organizationRecognize current limitations of AI, and how this could impact your businessBuild awareness about important and timely AI researchAdjust your mindset to consider AI from a holistic standpointGet acquainted with AI opportunities that exist in various industriesWho This Book Is ForIT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context. 360 pp. Englisch. Nº de ref. del artículo: 9781484262054
Cantidad disponible: 2 disponibles