How to select the optimal AI model for business

🔑 Enhanced Key Takeaways

• •Nomura Research Institute (NRI) emphasizes a "one-stop support" approach for AI utilization, covering consulting, infrastructure development, and implementation, focusing on solving specific customer challenges rather than merely adopting AI for its own sake.
• •Beyond benchmarks, the AI model selection process must rigorously evaluate organizational constraints such as the specific data environment, existing infrastructure, projected usage volume, and detailed cost models comparing different model tiers (e.g., frontier versus mid-tier options).
• •Effective enterprise AI model selection in 2026 increasingly necessitates robust AI governance platforms to manage the entire AI lifecycle, encompassing ethical considerations, bias detection, security protocols, and compliance requirements, particularly for highly regulated industries.
• •There is a significant industry shift towards prioritizing domain-specific AI models over general-purpose ones for core enterprise workflows, as specialized models trained on industry-specific data often yield superior accuracy and relevance for niche tasks.
• •NRI is actively developing an "AI Co-Creation Model" in collaboration with Microsoft Japan and other AI partners to accelerate generative AI adoption, providing structured guidance across various stages from task automation to business model innovation.

🔮 Future ImplicationsAI analysis grounded in cited sources

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