Artificial intelligence is infiltrating traditional industries at B and G

In 2017, artificial intelligence began to make its mark across traditional industries, particularly in the realms of ToB (business-to-business) and ToG (government-to-government). As AI technology advanced, it started to reshape various sectors, from finance to security, bringing new opportunities and challenges. This transformation was not just a trend but a significant shift that signaled the future of industry operations. The smart speaker market in China saw fierce competition, with major players vying for dominance. Meanwhile, the field of autonomous driving entered a more regulated phase, indicating the growing maturity of AI applications in real-world settings. In this context, AI was no longer just a futuristic concept—it was actively being integrated into traditional industries, marking a new era of innovation and efficiency. From collaborations between state-owned banks and tech companies in the realm of smart finance, to the massive daily traffic at Shenzhen AMB, and even the emergence of China’s first AI lawyer, numerous developments showcased the rapid rise of AI in various sectors. These events highlighted how AI was not only enhancing productivity but also redefining customer experiences and operational models. In the financial sector, smart investing emerged as a key application of AI in 2017. Digital investment advisors, often referred to as robo-advisors, used intelligent algorithms and portfolio optimization to provide personalized investment recommendations. According to BI Intelligence, global assets managed by these systems were expected to reach $8 trillion by 2020, signaling a huge potential market. Major banks like China Construction Bank, ICBC, and Agricultural Bank partnered with tech giants such as Alibaba, Tencent, and Baidu, accelerating AI integration within the financial industry. Companies like Ant Financial and Baidu also made significant strides, offering AI-powered solutions to enhance user understanding, optimize investment strategies, and improve product matching. Startups in the smart investment advice space also gained traction, with firms like Miyaki, Blue Ocean Fortune, and Block Box securing substantial funding. However, experts like Li Juan from the Shanghai Financial Information Industry Association noted that AI was still in its early stages, with many institutions facing challenges in data integration and analysis. In the government and security sectors, AI found practical applications in surveillance and public safety. At the 2017 AMB fair, the event saw three times the expected traffic, highlighting growing interest in AI-driven security solutions. Over 70% of exhibitors mentioned AI in their presentations, showcasing its wide-ranging impact across the industry. Video surveillance remained a core component of security systems, with the Chinese video surveillance market reaching over 100 billion yuan in 2015. AI improved upon traditional methods by offering higher accuracy in tasks such as object detection, tracking, and feature extraction. Companies like Hikvision and UOB continued to lead the market, while startups focused on deep learning and AI integration. As the security industry evolved, AI became a critical tool for upgrading existing products and services. Traditional vendors maintained an edge through established channels and relationships, while startups sought to innovate and capture market share. The race to develop smarter, more efficient security solutions became a key driver of growth in the sector. Overall, 2017 marked a pivotal year for AI, as it transitioned from experimental phases to real-world applications across multiple industries. Whether in finance or security, AI was no longer just a buzzword—it was a transformative force shaping the future of business and governance.

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