规模化创新：让员工为人工智能与空间计算做好准备

Content Executive summaryIntroductionThought leadershipUse casesKey takeaways Executive summary Generative AI and Spatial Computing will not only reinvent how we work but alsoreshape ourworkforce as awhole.To be ready for what’s next, enterprises will need to upskill their workforce and ensure their technologyis ready to meet the computational demand of these new technologies. New realities Technology disruptionbecame the #1 cause of business change in 2023 catapulted by advances inGenerativeAI. Only 27% of Accenture surveyed companies claim their organizations are ready to scale up Gen AI.* As aresult, companies are accelerating the executions of theirtransformation programsacross talent andtechnology. In addition to AI,SpatialComputingtechnologyis already becoming an integral part of our enterprise fabricand could grow to be as groundbreaking as desktop and mobile, ushering in a new era of technologyinnovation. Accenture research has found thatcompanies that take a people-centric approach to AI could create $10.3trillion in economic value.* The successful adoption of these technologies will require significant change management, reinvention and aprepared workforce. *Work Reinvented, Workforce Reshaped, Workers Prepared Accenture 2024 Gen AI is the #1 driver of reinvention today Company transformation programs need to shift from siloed use cases to a holistic approach that looks across theorganization’s whole value chain. Those looking to stay ahead will need to embrace Gen AI not only asmulti-yearchange agendabutasa continuous reinvention. This means companies need more people who can work with Gen AI,not less. There is no AI-ready workforce companies can hire now. Companies will need to prepare workers, reshapetheir workforce and reinvent work for the Gen AI era. This requires investing in people and in the technology that willscale with them–and their AI toolsets. 86% Our future with AI ofCxOsare alreadyusing GenAI tosome degree in their work and nearlyall believeGen AI will betransformative for their company andindustry* In the coming years, businesses will have an increasingly powerful array of technologies attheir disposal that will open new pathways to unleash greater human potential, productivity,and creativity. Enterprises will need to develop investment strategies that enable employees to realize thevalue of these new tools. Our relationship with data is changing–and with it, how we think, work, and interact withtechnology. The entire basis of the digital enterprise isbeingdisrupted. 70% The announcement of Gen AI changedthe “librarian” model of search to a new “advisor” modelseemingly overnight. And now every company is working to implement LLMs.With this changecomes the need to rethink our computing structures and efficiency. of client ISVs are integrating AI in apps Spatial computing:How we will experience AI Immersive experiences will create seamless interactions with AI. Today most of our interactions with Gen AI are through text-based or application-based user interfaces, but asenterprises scale their capabilities, those interactions will become more integrated throughout our lives and our ever-evolving mixed realities. SpatialComputingwill provide an interactive layer for more immersive AI interactions. Scalingthe hardware to power these experiences will be key to their success. 92% Immersion through Spatial Computing Immersive experiences, empowered by spatial computing, will blend our digital and physicalrealities while reinventing business models to create new human connections. of executives agree their organizationplans to create a competitiveadvantagebyleveragingSpatialComputing. Over the next decade, immersive experiences will revolutionize various aspects of life and business,facilitating learning, collaboration and sales in both virtualandaugmented spaces, 2D and 3D,blurring the lines and changing how we interact. This revolution will generate new linesof business and transform interactionsbetween customers, employees andcompanies. These changes will create new business models and markets while also changing how we learn andwork. This change will be more gradual than Gen AI, will often be powered by Gen AI and will alsoforce significant changes across our enterprise data and computing structures. Reinvention with Gen AI The shift to Gen AI will require a multi-year change agenda and continuous reinvention powered by a modernized datafoundation with flexible architecture and an efficientandsecuredigital core. As companies scale this technology, theywill need faster computing power and an empowered workforce with a desire to facilitate change. The reinvention of work AI is unleashing new levels of productivity and creativity while forging a path to the future that is different andfaster than any previous technology wave.Synthesizing data, comprehending natural language and convertingunstructured data into actionable insights takes significant comput