Executive's How-To Guide to Automation: Mastering AI and Algorithm-Driven Business
Executive's How-To Guide to Automation: Mastering AI and Algorithm-Driven Business
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Artificial intelligence (AI) is transforming businesses by reducing labor costs and creating a competitive advantage. This book provides the blueprint for automating critical business functions, dispelling the notion that algorithm design is exclusive to computer scientists and experienced programmers. It identifies parts of business that are best targeted for automation, making companies perform better, move faster, operate cheaper, and provide great lasting value to investors.
Format: Hardback
Length: 165 pages
Publication date: 31 January 2019
Publisher: Springer International Publishing AG
Artificial intelligence (AI) has revolutionized various industries by enabling the automation of tasks that were once performed by humans. This has led to reduced labor costs and a competitive advantage for businesses. However, automating critical business functions can be a complex and daunting task. This book provides a blueprint for automating these functions, outlining the skills and technologies required to replicate human-like thinking and judgment in the form of algorithms. The author argues that algorithm design is not exclusive to computer scientists and experienced programmers, and that anyone with the ability to envision how different components of a business can interact with other components already has the ability to work in algorithms. While some fear that automation will lead to job losses, the author believes that organizations will re-purpose humans into different roles under the banner of automation, not simply get rid of them. He also identifies parts of business that are best targeted for automation. This book will arm business people with the tools needed to automate companies, making them perform better, move faster, operate cheaper, and provide great lasting value to investors.
Weight: 644g
Dimension: 242 x 172 x 17 (mm)
ISBN-13: 9783319997889
Edition number: 1st ed. 2019
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