
Supporting corporate strategy development through AI-powered analysis of future scenarios for human society and the global environment
Long-term future-scenario-analysis technology supports the formulation of proactive management strategies from a long-term perspective through information analysis and future-scenario prediction using AI.
In recent years, the business environment has become increasingly complex due to factors such as climate change, geopolitical risks, and accelerating technological innovation. To achieve sustainable management, company must consider a wide range of potential future risks and opportunities and formulate strategies that can adapt flexibly to them. Scenario analysis is therefore becoming increasingly important. However, conventional scenario analysis relies heavily on the knowledge and experience of analysis, requires considerable effort to collect and analyze information, and faces challenges in ensuring comprehensiveness and objectivity.
In this research, we are developing technologies that use AI -- including large language models (LLMs), natural language processing, and knowledge graph construction -- to analyze a broad range of political, economic, social, technological, and environmental information and identify external factors that may shape future. We also aim to derive multiple plausible future scenarios form these factors and help companies identify the potential risks and opportunities that each scenario may bring to their businesses. By enabling AI to support human tasks, judgement, and decision-making, we seek to make scenario analysis more advanced and efficient, reducing its traditional dependence on analysts' knowledge and experience. Ultimately, we envision a world in which companies can develop long-term management strategies based on a broader range of information.
Through this research, we aim to help help companies, beginning with the NTT Group, better anticipate complex and uncertain future changes, strengthen their engagement with social and environmental issues, and promote sustainable management.
We will also pursue applications in a wide range of fields, including green transformation and the development of smart cities that coexist in harmony with the planet.
Coupled simulation technology applicable to enable collaboration of different simulators
Contribute to the development of management strategies that take ESG issues
Forecasting regenerative futures for earth from space