AI Landing in Industries Becomes a Trend: What Key Technologies Are Needed? Currently, mainstream public large models offer the advantages of vast knowledge bases and ease of use. However, these public models are inherently constrained by factors such as network speed, cloud-side efficiency, cost considerations, and energy consumption. Moreover, they have innate shortcomings in privacy protection and data security. Therefore, combining public intelligence with private-domain intelligence — a hybrid artificial intelligence where individual and enterprise intelligence coexist — is emerging as the future trend.
Alaric further pointed out that developing hybrid artificial intelligence requires advancement on both the software and hardware fronts. On the hardware side, PCs, smartphones, and automobiles will be the most direct AI application gateways for consumers. Hybrid intelligence integrated with enterprise intelligence depends on the continuous upgrade of intelligent computing infrastructure. On the software side, it is necessary to develop innovative AI applications, cultivate an open and thriving ecosystem, and advance the development of intelligent agents with three core capabilities: perception and interaction, cognition and decision-making, and autonomy and evolution.
“We believe that intelligent agents are the key to developing hybrid AI and will be the catalyst for the next stage of improving quality of life and productivity,” Alaric emphasized. Focusing on cultivating and applying superintelligent agents — in particular, encouraging industries to adopt intelligent agents and enterprises to develop them to create exemplary use cases in vertical sectors — will undoubtedly become an industry trend.
At the same time, the practice of AI must uphold a people-centered approach. Alaric noted that being people-centered means that in the research, development, and operation of AI technologies, products, and services, meeting human needs and promoting human well-being must be the foremost goal. It requires adhering to humanistic boundaries, advocating for human-centered design, maintaining humanistic principles, and examining AI’s impact from a human-oriented perspective to ensure its development truly benefits every enterprise and every individual.
“Promoting human-centered design means that the development of technology and products should revolve around people’s needs, preferences, and experiences, ensuring they adapt to and satisfy human requirements,” Alaric said.
Alaric also emphasized that the development of AI must encourage technology companies to expand globally. By deploying resources and applying AI in diverse scenarios on a larger scale to build a collaborative innovation network, digital competitiveness can be strengthened.