Industrial Digital Transformation: Accelerate digital transformation with business optimization, AI, and Industry 4.0

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· Packt Publishing via PublishDrive · Narrated by AI-Narrated
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12 hr 29 min
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About this audiobook

Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This audiobook is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works.
After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you’ll delve into advanced topics relating to overcoming various challenges. Later, the audiobook will take you through case studies in both private and public sector organizations. You’ll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you’ll discover how to create a playbook that can ensure success in digital transformation.
By the end of this audiobook, you’ll be well-versed with industrial digital transformation and be able to apply your skills in the real world.

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About the author

Shyam Varan Nath is a Specialist Leader, with focus on Telco, Media and High Tech (TMT) industry at Deloitte. Prior to this, he worked for Oracle, General Electric, IBM, Halliburton and Daleen (a Telecom revenue services provider). He is the primary author of three books, Building Industrial Digital Twins, Industrial Digital Transformation, and Architecting the Industrial Internet. His expertise involves IIoT, Digital Twins, cloud computing, databases, AI/ML, and Telecom billing. He has worked on driving digital transformation at several large companies. He is a Distinguished Toastmasters (DTM) club and very active on Twitter (shyamvaran). He is the founder of the analytics user group called AnDOUC (formerly BIWA). He has an undergraduate degree from IIT Kanpur, India, as well as an MSc (in computer science) and an MBA from FAU, Boca Raton, Florida. Shyam is part of the Program Committee of IoTSWC and a regular speaker at large technology events. 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. 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. 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.

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