In the new digital era, with the rapid popularization and application of artificial intelligence, machine learning and other technologies on a global scale, the way people interact with machines has undergone fundamental changes, which has fundamentally reshaped the world we live in and profoundly affected our families, work and entertainment. At the same time, these changes will also revolutionize healthcare, communications, finance, manufacturing and other industries, and bring significant changes to transportation, medical services and other fields.
    It is predicted that by 2027, the total amount of global data will exceed 180ZB1. The unlimited expansion of data on a global scale opens up vast prospects for humanity. The dramatic growth in the volume of data has also raised concerns about how data is transmitted, accessed, and stored, and led to a growing recognition of the importance of the intelligent edge.
     The Smart Edge aims to use technology to provide data and insights for decision-making anytime, anywhere. As an innovator in the field of intelligent edge, Analog Devices, Inc. (ADI) has been integrating intelligence into technology innovation and practice for many years, continuing to consolidate a strong analog technology foundation, while increasing investment in digital technology, software and artificial intelligence, constantly pushing the boundaries of innovation and making a significant impact.
    In recent years, artificial intelligence has penetrated into business and society at an unprecedented rate, becoming one of the key factors driving the recovery and transformation of the semiconductor industry. ADI believes that AI will play an important role in developing solutions across industries and technologies.
 Today, 95 percent of AI workloads are concentrated in the data center, but 50 percent of AI work is expected to move to the network edge by 2028. This shift means that with tens of billions of connected nodes and devices, AI is expected to significantly increase the intelligence level of the intelligent edge, by securely sensing, transforming and analyzing the data generated at the intersection of the physical and digital worlds, and performing actions accordingly to help hardware systems operate more efficiently and purposefully.
     Moving AI to the edge offers many benefits. First, as you know, in applications such as self-driving cars, remote surgery, and robotic systems, every millisecond counts, and by processing data locally, real-time decisions can be made. Second, edge-based AI systems will be more energy efficient than many of the centralized AI applications currently in operation. Third, by processing data locally, edge AI can ease bandwidth pressure, improve response speed and reliability, and ensure that critical functions continue to function when network connections fail. Finally, most edge applications today use pre-trained models, but real-time training and fine-tuning on devices will become more common in the future, meaning that edge devices can learn and adjust over time in response to changes in local data, improving performance and personalization without having to rely on cloud retraining.
     As an innovator in the intelligent edge, ADI is driving the AI revolution from sensors to the cloud. Much of our work revolves around portfolio innovation in order to be able to fully tap into the enormous potential of AI. For example, multimodal AI will provide deeper insights by integrating multiple complementary sensor inputs to help systems achieve better and more targeted operations. This will drive a wide range of sensor applications, providing significant growth momentum for ADI's broad signal chain and power portfolio. By increasing the use of AI in, around and throughout our products, ADI aims to more fully meet our customers' needs, strengthen our leading position in the industry, and advance AI for the greater good of people and the world we live in.