Details

Digital Transformation


Digital Transformation

Building Intelligent Enterprises
1. Aufl.

von: Anup Maheshwari

25,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 04.09.2019
ISBN/EAN: 9781119540854
Sprache: englisch
Anzahl Seiten: 416

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Beschreibungen

<p><b>Building Intelligent Enterprises by leveraging the emerging and next-generation technologies to accelerate the adoption of digital transformation</b></p> <p>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.</p> <p>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.</p> <ul> <li>End-to-end storyline to accelerate the enterprise’s digital transformation journey</li> <li>How an enterprise can stay relevant, compete, and perform in the digital economy</li> <li>How to leverage these technologies to build intelligent enterprises</li> <li>Understand and apply the emerging technologies across key business processes</li> <li>Industry-specific Use Cases for all technologies as a reference point to build the business case for implementation</li> </ul> <p>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.</p>
<p>Preface xi</p> <p>About this Book xiii</p> <p>Acknowledgments xix</p> <p><b>Part I—Introduction 1</b></p> <p><b>Chapter 1 Digital Transformation 3</b></p> <p>Digital Transformation 3</p> <p>Digital Transformation Impact 8</p> <p>Value Drivers 9</p> <p>Digital Implementation Methodology 10</p> <p>Emerging Technology Heatmap 13</p> <p>Emerging Digital Themes by Industry 15</p> <p>Conclusion 26</p> <p><b>Part II—Collaborative Methods and Tools 27</b></p> <p><b>Chapter 2 Design Thinking 29</b></p> <p>Design Thinking Overview 29</p> <p>Design Thinking Methodology 31</p> <p>Tools and Techniques 35</p> <p>Use Cases 41</p> <p>Conclusion 43</p> <p><b>Chapter 3 Agile 45</b></p> <p>Agile Overview 45</p> <p>Agile Methodology 48</p> <p>Agile Tools 49</p> <p>Conclusion 51</p> <p><b>Chapter 4 DevOps 53</b></p> <p>DevOps Overview 53</p> <p>DevOps Enterprise Maturity 56</p> <p>DevOps Enablers 57</p> <p>Adoption by Industry 59</p> <p>Use Cases 62</p> <p>Conclusion 63</p> <p><b>Part III—Intelligent Technologies 65</b></p> <p><b>Chapter 5 Robotic Process Automation 67</b></p> <p>Robotic Process Automation (RPA) Overview 67</p> <p>Automation Capabilities 69</p> <p>Enterprise RPA Architecture 74</p> <p>Enterprise RPA Model 76</p> <p>Enterprise RPA Implementation Methodology 78</p> <p>Potential Automation Opportunities 81</p> <p>RPA Opportunities by Industry 82</p> <p>RPA Opportunities by Function 89</p> <p>Use Cases 96</p> <p>Conclusion 98</p> <p><b>Chapter 6 Internet of Things 99</b></p> <p>Internet of Things Overview 99</p> <p>Understanding IoT Architecture 105</p> <p>IoT Implementation Methodology 119</p> <p>New Era with Connected Devices 121</p> <p>IoT Applications by Industry 129</p> <p>Use Cases 135</p> <p>Conclusion 139</p> <p><b>Chapter 7 Artificial Intelligence 141</b></p> <p>Artificial Intelligence (AI) Overview 141</p> <p>AI Capabilities 147</p> <p>Enterprise AI Architecture 154</p> <p>Enterprise AI Implementation Methodology 157</p> <p>Potential AI Opportunities 160</p> <p>AI Opportunities by Industry 161</p> <p>AI Opportunities by Functional Area 171</p> <p>Use Cases 175</p> <p>Conclusion 178</p> <p><b>Chapter 8 Machine Learning 179</b></p> <p>Machine Learning Overview 179</p> <p>Machine Learning Algorithms 182</p> <p>Enterprise Machine Learning Model 183</p> <p>Machine Learning Implementation Methodology 184</p> <p>Machine Learning Solutions by Industry 186</p> <p>Use Cases 187</p> <p>Conclusion 189</p> <p><b>Chapter 9 Blockchain 191</b></p> <p>Blockchain Overview 191</p> <p>Understanding Blockchain Architecture 197</p> <p>Smart Contracts in Blockchain 204</p> <p>Blockchain Execution Roadmap 205</p> <p>Blockchain Security 207</p> <p>Challenges of Blockchain-enabled Transformation 209</p> <p>Applications of Blockchain 209</p> <p>Use Cases of Blockchain 211</p> <p>Key Players 218</p> <p>Conclusion 219</p> <p><b>Chapter 10 Drones 221</b></p> <p>Drones Overview 221</p> <p>Drones as Data Collector 224</p> <p>Risk Considerations 225</p> <p>Drone Applications 226</p> <p>Opportunities by Industry 227</p> <p>Use Cases 232</p> <p>Conclusion 233</p> <p><b>Chapter 11 Virtual Reality 235</b></p> <p>Augmented and Virtual Reality Overview 235</p> <p>AR and VR in the Current Ecosystem 237</p> <p>Understanding AR/VR Architecture 237</p> <p>Platform 248</p> <p>Security and Privacy 249</p> <p>Opportunities by Industry 251</p> <p>Use Cases 257</p> <p>Conclusion 258</p> <p><b>Chapter 12 3D Printing 259</b></p> <p>3D Printing Overview 259</p> <p>Methodology 262</p> <p>Use Cases 263</p> <p>Conclusion 265</p> <p><b>Chapter 13 Big Data 267</b></p> <p>Big Data Overview 267</p> <p>Big Data Technology 273</p> <p>Understanding Big Data Architecture 278</p> <p>Big Data Opportunities by Industry 285</p> <p>Use Cases 285</p> <p>Conclusion 290</p> <p><b>Chapter 14 Analytics 291</b></p> <p>Analytics Overview 291</p> <p>Analytics Components 294</p> <p>Analytics Methodology 294</p> <p>Analytics Techniques 296</p> <p>Use Cases 301</p> <p>Conclusion 303</p> <p><b>Part IV—Digital Infrastructure 305</b></p> <p><b>Chapter 15 Cloud Computing 307</b></p> <p>Cloud Overview 307</p> <p>Enterprise Cloud Transformation Methodology 319</p> <p>Enterprise Cloud Migration Framework 322</p> <p>Enterprise Strategy and Roadmap to Cloud 324</p> <p>Enterprise Migration Path to Cloud 327</p> <p>Key Cost Drivers 330</p> <p>Enterprise Transformation to the Cloud 332</p> <p>Enterprise Cloud Management and Optimization 336</p> <p>Use Cases 339</p> <p>Conclusion 342</p> <p><b>Chapter 16 APIs 343</b></p> <p>API Overview 343</p> <p>API Architecture 345</p> <p>API Business Strategy 347</p> <p>API Life Cycle and Roadmap 349</p> <p>Conclusion 352</p> <p><b>Part V—Product Review 353</b></p> <p><b>Chapter 17 SAP Leonardo 355</b></p> <p>SAP S/4HANA ERP Overview 355</p> <p>Understanding SAP Leonardo 356</p> <p>SAP Leonardo Internet of Things 357</p> <p>SAP Leonardo Machine Learning 362</p> <p>SAP Leonardo Blockchain 366</p> <p>SAP Leonardo Big Data 367</p> <p>SAP Leonardo Data Intelligence 368</p> <p>SAP Leonardo Analytics 368</p> <p>SAP Leonardo Enterprise Engagement 369</p> <p>Conclusion 371</p> <p>About the Author 373</p> <p>Index 375</p>
<p><b>ANUP MAHESHWARI</b> 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 <i>Implementing SAP S/4HANA Finance</i>. 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.
<p><b>It's time to build a smart business</b> <p>New disruptive technologies are emerging constantly. The pace of change is humbling to those of us who thought building a website was enough to "go digital." Now we have to consider big data, artificial intelligence, and other IT tools that, we are told, can exponentially increase our growth and value. <p><i>Digital Transformation: Building Intelligent Enterprises</i> is a one-stop-shop for executives and managers ready to integrate high-tech solutions into business structure. This book covers all the tech you need to know, helps you determine which tools are relevant to your needs, and guides you through building an agile enterprise to enhance resilience today and in the future. <p>You'll learn how to transform your organization with essential technologies and resources, including: <ul> <li>The Internet of Things</li> <li>Virtual reality</li> <li>Big data and analytics</li> <li>Blockchain</li> <li>Cloud computing</li> <li>Design thinking</li> <li>Robotics</li> <li>DevOps</li> <li>Artificial intelligence</li> <li>Machine learning</li> <li>Agile</li> <li>Drones</li> <li>3D Printing</li> <li>APIs</li> <li>SAP Leonardo</li> </ul> <p><i>Digital Transformation</i> covers all these topics and more under one cover! This book is for business leaders who are new to the world of technology and those with more knowledge looking for insights on practical implementation.

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