Four Drivers of Digital Transformationat the Intelligent Edge and the KeyQuestions That Will Help ArchitectYour Success It’s About HowYou Transform —Not If “Digital successshould be thenumber-one focusas we modernizeour developmentprocesses for ourorganization’sembeddedtechnologies.” On the IT side of your organization, the constantdrumbeat around digitally transforming thecompany dominates conversations. Digital is not just an idea. It is part of the new DNA for organizationalsuccess — so much so that over 68% of publicly traded companiesmention the progress of their digitally transforming activities in theirquarterly filings, because they know it matters.1Look around your owncompany.If you have a chief digital officer in your corporation, youare as much as 54% more likely to be successful in digitally trans-forming than your peers who do not have one.2 —Michael Gale, Wall Street Journalbestsellingauthor of the number-one sellingbook on digital transformation,The Digital Helix 54% The embedded part of the business needs to refocus on the digitalconversation, because it’s not just the size of the Internet of Things(IoT) market that matters (more than 75 billion devices are predictedby 20253). Equally important is how devices in IoT work together to addvalue to and through the edge, which is increasingly 5G based.Thatedge, Gartner believes, will create and process more than 50% ofenterprise-generated data by 2022.4 50% Gartner predicts that by 2022,more than 50% of all enterprise-generated data will be created andprocessed at the edge. An AI-Infused,Always-Secure WorldIs Ours to Make “Whereas weformerly livedin a world ofdesign once,deploy once, andmanage throughlife, going forwardwe will live in aworld of constantdigital adaptability.” The volume of data and the urgency of itsapplication for digital success mean thatthe way we modernize embedded devices,from development through deployment andmanagement, is changing right in front of us. Technology such as AI and machine learning will need to work transpar-ently and easily with these devices. And, because needs evolve, devicesmust be adaptable over their lifecycle. Obviously, there are development challenges. One third of all developersare currently building cloud-native architectures, and another 30% planto do so within the next year. But the edge can be a hostile region forthese cloud-native developers. Physical access and security are chal-lenging, and edge devices are not standardized or interchangeable likeservers in a data center.Among these IoT developers, two of the topthree concerns, after security (38%), are connectivity (21%) and datacollection and analytics (19%).5Concerns linger throughout the line ofuse, given that 93% of automation technologists surveyed feel unpre-pared or only partially prepared to tackle the challenges associated withsmart machine technologies. —Paul Miller,Chief Technology Officer,Wind River IoTdevelopers namedconnectivityand data collection and analyticsas two of their top three concerns,after security. These trends showthat original devicedesigns and intentwill need to bereengineeredwith softwarethroughout theirlifecycles, as AI isincreasingly fusedinto everything. This is not the territory for customized, roll-your-own applications,especially given that agility is essential in an ever-changing world. Butwhile the 28% of enterprises that are digitally transforming successfullyrecognize that the future has a volatile, uncertain, complex, and ambig-uous (VUCA) feel to it, they are also 250% more positive than their peersthat they can handle it, because they are reimagining how to run theentire enterprise.6They aren’t wrapping themselves in digital concepts— digital is a fundamental component of their existence.In fact, 75%of businesses say AI will allow them to move into new ventures, andAI is seen by 64% of CEOs as a way to lower overall OPEX.7Thesetrends show that original device designs and intent will need to bereengineered with software throughout their lifecycles, as AI is increas-ingly infused into everything in order to realize substantive changes inimmediate economic as well as long-term differentiated value for theenterprise, especially through the cloud. 75% of business say AI will allowthem to move into new ventures,and AI is seen by 64% of CEOs as away to lower overall OPEX In a New Era,Data Will Lead Top 10 Skillsfor IoT Developers The estimated 41 billion-plus connected devicesthat will be in operation by 2025 will be generatingsome 80 zettabytes of data.8 In that data lies enormous value. Fifty-seven percent of leading digitallytransforming corporations recognize that forms of and ideas aboutdata will radically transform over the next few years.Those that get itright will be able to design, collect, and manage all of this data, mostof which will be coming through the edge. The new trends driven by AI, 5G, and intelligent edge systems demanddevelopers with new skills and deep interes