Transform Your Business in 6 Steps
E-Book, Englisch, 196 Seiten, eBook
ISBN: 978-1-4842-6385-3
Verlag: APRESS
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
This is where
Implementing AI Systems
comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place – that is, it’s the handbook you need for AI. You’ll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on.
This book will help you find the right areas to apply AI.
What You’ll Learn
Put together an effective data strategy
Create models and how to successfully test themEvaluate AI toolsAssemble the right teamScale AI across an organizationWho This Book Is For
Primarily for managers, IT professionals and executives of mid-size and large companies wanting to implement AI in their organization.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Guest Forward (Say from a CEO/founder of an AI company)
Introduction (Quick overview of what the book will cover, chapter-by-chapter)
Chapter 1: AI Landscape• Look at the growth opportunities and the need for digital transformation. But also highlight the challenges with AI implementations.Chapter 2: Identify The Problem To Be Solved• The problem can be internal (such as with improving operations) or external (helping to provide better customer experiences). This chapter will look at cases where companies have been successful with this. Chapter 3: Data Preparation• This often does not get enough attention. But data preparation is absolutely essential and full of mine fields. There will be a look at how to identify/clean the data, such a with various tools and techniques. This chapter will also describe strategies for data ethics, governance, provenance and compliance. Chapter 4: Building the AI Team• This shows what skillsets are required and how to recruit the right people. There will also be a look at setting up the right incentives, roles and duties. Chapter 5: Creating the Model• This chapter will focus on what algorithms to use, how to select the parameters and how to test/train the models. There will also be coverage on the various types of tools to select and when to create in-house ones. Chapter 6: Deploy The Model• Here there is a look at strategies for having limited releases and rollouts. There will also be a look at different approaches for the design of the UI so as to get better adoption.Chapter 7: Monitoring• This chapter will show how to keep track of the model and know when to make changes/upgrades.Chapter 8: Scaling AI• This has proven to be extremely difficult for organizations. So in this chapter, there will be a look at strategies to show how AI can move the needle.Chapter 9: The Future• Again, there needs to be a different mindset. Thus, for a successful AI implementation, it’s important to look at change management strategies. Chapter 10: The Future• This will be a recap of the main takeaways of the book and also a look at major trends with AI.Appendix A: Resources like blogs, videos and websitesAppendix B: AI Tools (TensorFlow, DataRobot, Microsoft AI Builder, etc)Appendix C: AI Glossary