AIコメンタリー
動画の要約は視聴を開始すると表示されます
The core issue with AI presentation tools lies in their inability to generate crucial business insights, merely presenting them effectively once they exist []. The presented solution involves a three-step process: research, story structuring, and design. For research, using advanced models like GPT-4 with "deep research" capabilities and highly specific prompts is key to uncovering actionable recommendations, such as prioritizing Indonesia for market entry based on its growth potential and local market fit [, ]. This initial phase focuses on gathering data and formulating a clear recommendation, distinguishing it from mere market research [].
現在のセクション要約
動画の要約は視聴を開始すると表示されます
The core issue with AI presentation tools lies in their inability to generate crucial business insights, merely presenting them effectively once they exist []. The presented solution involves a three-step process: research, story structuring, and design. For research, using advanced models like GPT-4 with "deep research" capabilities and highly specific prompts is key to uncovering actionable recommendations, such as prioritizing Indonesia for market entry based on its growth potential and local market fit [, ]. This initial phase focuses on gathering data and formulating a clear recommendation, distinguishing it from mere market research [].