AI is one of the fastest growing corners of the tech world. But there
remains one big problem: many AI projects fail. The fact is that AI is
unique among IT projects. The technology requires a different mindset,
in terms of understanding probabilities, data structures and complex
algorithms. There is also a need to deal with complex issues like ethics
and privacy.
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
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Put together an effective data strategy
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Create models and how to successfully test them
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Evaluate AI tools
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Assemble the right team
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Scale AI across an organization
**Who This Book Is For
**Primarily for managers, IT professionals and executives of mid-size
and large companies wanting to implement AI in their organization.