How Neurosymbolic AI Transformed My Favorite SWOT Analysis Tool: A Game-Changer for Strategic Insights

Author(s): Mukundan Sankar

Originally published on Towards AI.

From surface-level summaries to actionable intelligence — discover how this AI upgrade breathed new life into my top-performing blog on SWOT analysis

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Image comparing GPT-3.5 only vs Neurosymbolic GPT-3.5 created using Napkin.ai by the author

SWOT analysis has always been one of my go-to tools for business insights, and it’s a topic close to my heart. In fact, my original post about automating SWOT analysis using GPT-3.5 was my top-performing blog — proving just how valuable people find this kind of strategic analysis. (Link to the original blog here).

But recently, I discovered a way to take SWOT analysis even further, thanks to a powerful approach called neurosymbolic AI. When I revisited SWOT analysis using this new method, the results blew me away. Neurosymbolic AI isn’t just a fancier AI; it’s a unique blend that combines pattern recognition (neural networks) with rule-based logic (symbolic AI) to deliver richer, more actionable insights. And it made me realize how much more sophisticated my original AI-driven SWOT analysis could be.

In this post, I’ll compare my initial GPT-3.5-based SWOT approach with the neurosymbolic AI-driven version. We’ll dive into how each one works and explore the real-world benefits of this upgrade.

When I first wrote about using AI for SWOT analysis,

Discover how I leveraged AI to automate SWOT analysis… Read the full blog for free on Medium.

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Published via Towards AI