You're reading from Industrial Digital Transformation

Product typeBook

Published inNov 2020

PublisherPackt

ISBN-139781800207677

Edition1st Edition

Tools

Azure

Concepts

Cloud Computing

Authors (4):

Shyam Varan Nath

Ann Dunkin

Mahesh Chowdhary

Nital Patel

View More author details

What this book covers

Chapter 1, Introducing Digital Transformation, describes the concept of industrial digital transformation across different industry sectors and explains the importance of transformation to different internal and external stakeholders. It will help develop the reader’s understanding of the economic and productivity gains that can be achieved through digital transformation.

Chapter 2, Transforming the Culture in an Organization, covers the importance of the culture of change as a company positions itself organizationally for the transformation.

Chapter 3, Emerging Technologies to Accelerate Digital Transformation, explains the current and emerging digital technologies that facilitate and accelerate industrial digital transformation.

Chapter 4, Business Drivers for Industrial Digital Transformation, describes the changes to business processes and business models that are required for a successful digital transformation, as well as the right set of digital technologies.

Chapter 5, Transforming One Industry at a Time, looks at a selection of industrial digital transformation case studies, including the chemical, semiconductor, manufacturing, and construction industries.

Chapter 6, Transforming the Public Sector, examines case studies from different levels of the public sector, including federal, state, and local governments. These transformation scenarios are rarely driven by profitability but instead focus on the citizen experience and social good.

Chapter 7, The Transformation Ecosystem, describes the complete ecosystem that is needed to make a large-scale impact on an entire industry or sector.

Chapter 8, Artificial Intelligence in Digital Transformation, considers the different paradigms of learning, including artificial intelligence, machine learning, and deep learning, and how these are being applied to accelerate the process of digital transformation.

Chapter 9, Pitfalls to Avoid in the Digital Transformation Journey, describes how digital transformation projects can go wrong, and how a lack of transformation may impact the long-term success of an enterprise. The chapter will help readers learn how to avoid such shortcomings.

Chapter 10, Measuring the Value of Transformation, showcases how to develop a business case, quantify the business outcomes, and develop the ROI of a transformation initiative.

Chapter 11, The Blueprint for Success, teaches the reader how to ensure the success of their digital transformation project and sustain it in the long term. This chapter provides tools and templates for developing detailed plans for transformation in different settings.

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Industrial Digital Transformation

Published in: Nov 2020Publisher: PacktISBN-13: 9781800207677

Authors (4)

Shyam Varan Nath

Specialist Leader - AI & Analytics, Deloitte
Read more about Shyam Varan Nath

Ann Dunkin

Ann Dunkin, P.E. is a Chief Technology Officer at Dell Technologies. She has over a decade of experience as a Chief Information Officer, including as the CIO of the US EPA in the Obama Administration. She has led digital transformations in large organizations and has written and spoken extensively on the topics of technology modernization, organizational transformation and digital services. She serves on a several non-profit and for-profit boards and has received numerous awards for her contributions to government digital transformation.
Read more about Ann Dunkin

Mahesh Chowdhary

Mahesh Chowdhary, Ph.D., is a Fellow and the Director of Strategic Platforms and the IoT Excellence Center at STMicroelectronics, based in Santa Clara, CA. He leads the effort on the development of solutions and reference designs for mobile phones, consumer electronic devices, automotive and industrial applications that utilize MEMS sensors, and computing and connectivity products. His areas of expertise include AI/ML, MEMS sensors, IoT, digital transformation, and location technologies. He has been awarded 24 patents. He has spoken extensively internationally about ML, smart sensors, and IoT. Mahesh received his Ph.D. in applied science (particle accelerators) from the College of William and Mary in Virginia. He is also an adjunct professor at IIT, Delhi.
Read more about Mahesh Chowdhary

Nital Patel

Nital Patel, Ph.D., is a Principal Engineer responsible for advanced manufacturing systems research and development at Intel, Corporation. He has spent his career contributing to digital transformation activities and projects across the manufacturing spectrum as well as in the areas of enabling agility in the enterprise supply chain leveraging data fusion, machine learning and AI. He is the lead inventor on 11 patents, has published over 50 journal and conference papers and serves on the Editorial Board of the IEEE Transactions on Semiconductor Manufacturing. In the past he has been an Adjunct Professor at the Arizona State University and has been awarded the Mahboob Khan Award from the Semiconductor Research Corporation for mentoring university research students.
Read more about Nital Patel

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