Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing

✍ Scribed by Eberhard Hechler, Martin Oberhofer, Thomas Schaeck

• Publisher: Apress
• Year: 2020
• Tongue: English
• Leaves: 343
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxvi
Front Matter ....Pages 1-1
AI Introduction (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 3-22
AI Historical Perspective (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 23-33
Key ML, DL, and DO Concepts (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 35-52
Front Matter ....Pages 53-53
AI Information Architecture (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 55-93
From Data to Predictions to Optimal Actions (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 95-114
The Operationalization of AI (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 115-140
Design Thinking and DevOps in the AI Context (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 141-161
Front Matter ....Pages 163-163
AI and Governance (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 165-211
Applying AI to Master Data Management (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 213-234
AI and Change Management (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 235-252
AI and Blockchain (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 253-271
AI and Quantum Computing (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 273-295
Front Matter ....Pages 297-297
Limitations of AI (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 299-312
In Summary and Onward (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 313-316
Abbreviations (Eberhard Hechler, Martin Oberhofer, Thomas Schaeck)....Pages 317-321
Back Matter ....Pages 323-331

✦ Subjects

Computer Science; Professional Computing; Quantum Computing