Cover image for Digital Transformation : Building Intelligent Enterprises
Title:
Digital Transformation : Building Intelligent Enterprises
Personal Author:
Physical Description:
xix, 389 pages : illustrations ; 24 cm
ISBN:
9781119540830

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33000000017324 HD45 A58 2019 Open Access Book Book
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Summary

Summary

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.


Author Notes

ANUP MAHESHWARI is an SAP S/4HANA Finance, Business and Digital Transformation thought leader. He has over 21 years of IT and business consulting experience at firms such as IBM, Deloitte, and Accenture. He is the author of Implementing SAP S/4HANA Finance . Anup received his Masters of Science from The George Washington University and is a Stanford Certified Project Manager and a PMI Certified Project Management Professional (PMP). Anup also has an Enterprise Architect Certificate from Carnegie Mellon University. He is a Chartered Financial Analyst, an MBA, and a Certified SAP S/4HANA Consultant.


Table of Contents

Prefacep. xi
About this Bookp. xiii
Acknowledgmentsp. xix
Part I Introductionp. 1
Chapter 1 Digital Transformationp. 3
Digital Transformationp. 3
Digital Transformation Impactp. 8
Value Driversp. 9
Digital Implementation Methodologyp. 10
Emerging Technology Heatmapp. 13
Emerging Digital Themes by Industryp. 15
Conclusionp. 26
Part II Collaborative Methods and Toolsp. 27
Chapter 2 Design Thinkingp. 29
Design Thinking Overviewp. 29
Design Thinking Methodologyp. 31
Tools and Techniquesp. 35
Use Casesp. 41
Conclusionp. 43
Chapter 3 Agilep. 45
Agile Overviewp. 45
Agile Methodologyp. 48
Agile Toolsp. 49
Conclusionp. 51
Chapter 4 DevOpSp. 53
DevOps Overviewp. 53
DevOps Enterprise Maturityp. 56
DevOps Enablersp. 57
Adoption by industryp. 59
Use Casesp. 62
Conclusionp. 63
Part III Intelligent Technologiesp. 65
Chapter 5 Robotic Process Automationp. 67
Robotic Process Automation (RPA) Overviewp. 67
Automation Capabilitiesp. 69
Enterprise RPA Architecturep. 74
Enterprise RPA Modelp. 76
Enterprise RPA Implementation Methodologyp. 78
Potential Automation Opportunitiesp. 81
RPA Opportunities by Industryp. 82
RPA Opportunities by Functionp. 89
Use Casesp. 96
Conclusionp. 98
Chapter 6 Internet of Thingsp. 99
Internet of Things Overviewp. 99
Understanding IoT Architecturep. 105
IoT Implementation Methodologyp. 119
New Era with Connected Devicesp. 121
IoT Applications by Industryp. 129
Use Casesp. 135
Conclusionp. 139
Chapter 7 Artificial Intelligencep. 141
Artificial Intelligence (AI) Overviewp. 141
AI Capabilitiesp. 147
Enterprise AI Architecturep. 154
Enterprise AI Implementation Methodologyp. 157
Potential AI Opportunitiesp. 160
AI Opportunities by Industryp. 161
AI Opportunities by Functional Areap. 171
Use Casesp. 175
Conclusionp. 178
Chapter 8 Machine Learningp. 179
Machine Learning Overviewp. 179
Machine Learning Algorithmsp. 182
Enterprise Machine Learning Modelp. 183
Machine Learning Implementation Methodologyp. 184
Machine Learning Solutions by Industryp. 186
Use Casesp. 187
Conclusionp. 189
Chapter 9 Blockchainp. 191
Blockchain Overviewp. 191
Understanding Blockchain Architecturep. 197
Smart Contracts in Blockchainp. 204
Blockchain Execution Roadmapp. 205
Blockchain Securityp. 207
Challenges of Blockchain-enabled Transformationp. 209
Applications of Blockchainp. 209
Use Cases of Blockchainp. 211
Key Playersp. 218
Conclusionp. 219
Chapter 10 Dronesp. 221
Drones Overviewp. 221
Drones as Data Collectorp. 224
Risk Considerationsp. 225
Drone Applicationsp. 226
Opportunities by Industryp. 227
Use Casesp. 232
Conclusionp. 233
Chapter 11 Virtual Realityp. 235
Augmented and Virtual Reality Overviewp. 235
AR and VR in the Current Ecosystemp. 237
Understanding AR/VR Architecturep. 237
Platformp. 248
Security and Privacyp. 249
Opportunities by Industryp. 251
Use Casesp. 257
Conclusionp. 258
Chapter 12 3D Printingp. 259
3D Printing Overviewp. 259
Methodologyp. 262
Use Casesp. 263
Conclusionp. 265
Chapter 13 Big Datap. 267
Big Data Overviewp. 267
Big Data Technologyp. 273
Understanding Big Data Architecturep. 278
Big Data Opportunities by Industryp. 285
Use Casesp. 285
Conclusionp. 290
Chapter 14 Analyticsp. 291
Analytics Overviewp. 291
Analytics Componentsp. 294
Analytics Methodologyp. 294
Analytics Techniquesp. 296
Use Casesp. 301
Conclusionp. 303
Part IV Digital Infrastructurep. 305
Chapter 15 Cloud Computingp. 307
Cloud Overviewp. 307
Enterprise Cloud Transformation Methodologyp. 319
Enterprise Cloud Migration Frameworkp. 322
Enterprise Strategy and Roadmap to Cloudp. 324
Enterprise Migration Path to Cloudp. 327
Key Cost Driversp. 330
Enterprise Transformation to the Cloudp. 332
Enterprise Cloud Management and Optimizationp. 336
Use Casesp. 339
Conclusionp. 342
Chapter 16 APIsp. 343
API Overviewp. 343
API Architecturep. 345
API Business Strategyp. 347
API Life Cycle and Roadmapp. 349
Conclusionp. 352
Part V Product Reviewp. 353
Chapter 17 SAP Leonardop. 355
SAP S/4HANA ERP Overviewp. 355
Understanding SAP Leonardop. 356
SAP Leonardo Internet of Thingsp. 357
SAP Leonardo Machine Learningp. 362
SAP Leonardo Blockchainp. 366
SAP Leonardo Big Datap. 367
SAP Leonardo Data Intelligencep. 368
SAP Leonardo Analyticsp. 368
SAP Leonardo Enterprise Engagementp. 369
Conclusionp. 371
About the Authorp. 373
Indexp. 375