TANSUN(SZ:300872) Zhong Zheng Wang·2025-10-16 11:25Core Viewpoint - The recent seminar hosted by Tianyang Technology focused on the integration of quantum computing and AI in the financial sector, aiming to establish a self-controlled "quantum finance" computing ecosystem, which is expected to drive the next generation of financial technology development [1][2]. Group 1: Seminar Highlights - The seminar addressed two main themes: "Quantum Computing + AI: Building the 'Next Engine' for Financial Markets" and "Empowering New Productive Forces: Creating a Quantum Technology Industry Corps" [1]. - Participants engaged in deep discussions to identify key upgrades in the industry, providing a clear path for the transition from traditional computing power to a "quantum + AI integrated" approach [1]. Group 2: Strategic Initiatives - Tianyang Technology announced the "Quantum Enhancement Plan" to explore the deep integration of technology and financial services, with a focus on the financial market as a strategic direction [1]. - The company has secured exclusive permanent licensing for Algo market risk software and source code in mainland China, and launched the Tianyang Technology Innovation Version in the financial market [1]. Group 3: Competitive Positioning - The company plans to increase investments in next-generation computing and AI to enhance its competitive edge in the financial market, while also deepening collaborations in semiconductors and AI [2]. - Tianyang Technology's strategic layout includes acquiring Algo market risk software, investing in AI unicorns, and establishing joint ventures, forming a comprehensive strategy around "data + algorithms + computing power" [2]. Group 4: Industry Evolution - The competition in the industry has evolved from focusing on single products or solutions to a comprehensive ecosystem that covers core technologies, application scenarios, computing support, and industrial empowerment [2]. - The collaborative construction of a self-controlled quantum finance ecosystem is expected to reduce reliance on external technologies and accelerate the realization of core technology autonomy and intelligent business scenarios [3].