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Digital Transformation: Building Intelligent Enterprises (1st)

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Building Intelligent Enterprises by leveraging the emerging and next-generation technologies to accelerate the adoption of digital transformation

The speed of innovation and emerging IT technologies are changing at a very fast pace and enterprises are eager to join the digital revolution so they can stand above the competition and succeed as the enterprise of tomorrow. This book is an attempt to make the enterprise intelligent by providing the path to digital transformation and the adoption of new IT methods, tools and technologies.

This book has been organized to cover the following topics: Digital Transformation, Design Thinking, Agile, DevOps, Robotic Process Automation, Internet of Things, Artificial Intelligence, Machine Learning, Blockchain, Drones, Augmented and Virtual Reality, 3D Printing, Big Data, Analytics, Cloud Computing, APIs, and SAP Leonardo. No prior knowledge of any technical coding or language is necessary to understand the content of this book.

  • End-to-end storyline to accelerate the enterprise's digital transformation journey
  • How an enterprise can stay relevant, compete, and perform in the digital economy
  • How to leverage these technologies to build intelligent enterprises
  • Understand and apply the emerging technologies across key business processes
  • Industry-specific Use Cases for all technologies as a reference point to build the business case for implementation

The book is very well suited towards the C-Suite executives, both IT and business leaders, directors and managers, project managers, solution architects, and all professionals who have an interest and desire to keep up-to-date with the latest technological trends, looking for a career change, want to help enterprise adapt and onboard the digital roadmap, or have an agenda to digitize key processes within the enterprise to make it intelligent.

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£30.99
Product Details
Wiley-Blackwell
1119540852 / 9781119540854
eBook (EPUB)
658.05
04/09/2019
English
389 pages
Copy: 10%; print: 10%
Description based on CIP data; resource not viewed.