Happiness Planet Inc. and Hitachi, Ltd. have jointly developed a self-developing generative AI that autonomously generates deeper insights and creative perspectives through discussion among multiple AI agents. Happiness Planet will also begin offering a self-developing AI service utilizing the developed generative AI, “Happiness Planet FIRA”, from Tuesday, August 26th.
Conventional generative AI has limitations in generating deep insights and creative perspectives that go beyond the training data.
In contrast, FIRA, which utilizes proprietary technology from Happiness Planet and Hitachi, uses 600 types of AI agents specialized in various fields to autonomously discuss and generate deep insights and creative options tailored to individual management issues without relying on user-specific data. As an Intelligence Amplifier that expands human thinking, it can be used in a wide range of management situations, including formulating business plans, responding to investor relations, conceiving new business ideas, formulating sales strategies, and improving the quality of management meetings. FIRA contributes to the sustainable growth of companies as an intellectual partner for management and planners.
Furthermore, FIRA recorded significantly higher scores than conventional generative AI in an objective evaluation of 10 management issues using AI.
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In the field of management and planning, we are faced with challenges that have no correct answer, such as risk management, investment decisions, and human resource development, on a daily basis. These challenges require insight and creative perspectives tailored to the company’s unique circumstances, going beyond simple information organization. However, conventional generative AI struggles to generate deep insights that go beyond the scope of pre-training data, or creative perspectives tailored to the user’s unique challenges, resulting in limited answers. In response, attempts have been made to incorporate a company’s past data into generative AI, but simply referencing past data does not provide creative suggestions for the future.
SOURCE: PRTimes