KPMG: Ten Major Trends in The Development Of The Artificial Intelligence Industry

The development of artificial intelligence is advancing by leaps and bounds, and all walks of life are facing the key question of how to integrate and apply intelligent technology. Behind the huge application potential is the comprehensive emergence of new hardware, new algorithms, and new data. At this opportunity, KPMG and Zhongguancun Industrial Research Institute jointly released "Prospects for the Global Transformation of Artificial Intelligence: The Jump Point is Coming (2023)" through industry surveys and expert interviews, combined with in-depth research. The report is based on the current situation of the global and Chinese artificial intelligence industry, combined with market observations, proposes ten major trends in the future development of the artificial intelligence industry, and provides an in-depth analysis of the development and core driving forces of each trend, hoping to bring useful reference to the AI industry and anchor it. Identify opportunities and resolve challenges.

Since the outbreak of big models, artificial intelligence technology has been developing rapidly, and innovative results have emerged one after another. The report summarizes the ten major trends in the development of the artificial intelligence industry from the four dimensions of technological change, application innovation, security governance, and ecological collaboration, which are: multi-modal pre-training Large models are the standard configuration of the artificial intelligence industry; the increasing scarcity of high-quality data will force a leap in data intelligence; the realization of a new computing paradigm with ubiquitous intelligent computing power is accelerating; the application of artificial intelligence-generated content is penetrating into all scenarios; artificial intelligence drives science Research is accelerating from single-point breakthroughs to platformization; embodied intelligence, brain-computer interfaces, etc. have opened up the exploration of general artificial intelligence applications; artificial intelligence security governance has become stricter, tighter, and more difficult; explainable AI, ethical security, privacy protection, etc. have given rise to Opportunities for technological innovation; open source innovation will be the cornerstone of AGI ecological construction; Model as a Service (MaaS) will be the core of AGI ecological construction.

Zhang Qingjie, partner in charge of digital enablement at KPMG China, said: "In addition to core areas such as chips and data, the winning points in the global artificial intelligence competition are also extremely important in scenario application innovation. On the one hand, shortcomings and shortcomings in scenario applications can provide Technological breakthroughs provide entry points. On the other hand, whether scenario applications can achieve commercial success determines whether industrialization can advance smoothly. Large model technology will reshape the basic form of production and consumption. In application scenarios represented by AIGC, AI4S, and AGI A host of paradigm-shifting opportunities are expected to emerge.