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The Limits of Generative AI” and Next Generation Computing Strategies
Where are the limitations of the current LLMs?”
“I don’t see any technological bottlenecks for AGI…”
How should we incorporate quantum, supercomputing, and other next-generation technologies into our own AI strategy?”
With AI becoming the lifeblood of companies in areas such as automated driving, smart factories, and new materials development, many chief technology officers are now faced with identifying areas for investment to achieve the next discontinuous growth.
Instead of abstract futurism, it has become extremely difficult to determine a concrete roadmap toward achieving AGI and whether resources should be invested there.
This presentation clarifies the technological challenges facing generative AI today and describes the specific technological strategies needed to realize AGI.
In addition, next-generation computing technologies such as quantum computing and HPC (High Performance Computing),
The presentation will also explain the specific direction of next-generation computing technologies, such as quantum computing and HPC (High Performance Computing), and how they can be integrated with your company’s AI strategy to enter new markets.
1. technological limitations and roadmap to AGI: Clear understanding of the technological limitations of current generative AI (LLM and multimodal) and hints for drawing a mid- to long-term technological roadmap toward AGI realization.
2. identification of discontinuous growth areas: a viewpoint to understand the industry sectors where the evolution of AI will have the greatest impact and to identify areas of greatest risk and opportunity for your company.
3. next-generation computing collaboration strategy: Understanding the latest trends in quantum computing and supercomputing and their specific contribution to AI to help make investment decisions on future technologies.
This is a must-see for technology managers and executives who want to improve the accuracy of their investment decisions in future technologies.
R&D department heads and leaders of advanced technology laboratories at automobile and parts manufacturers
・Heads of departments exploring discontinuous new business themes based on AI and data utilization
Those in charge of technology and management who are making investment decisions in future technologies at major companies.
Please contact us for consulting services.