Alter Everything 186: Harnessing the Power of LLMs with Alteryx and Capitalize
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Jun 4, 2025 Eric Soden, Co-founder at Capitalize Analytics, and JT Morris, Senior Manager and Advanced Analytics Practice Lead, share their expertise on generative AI. They discuss practical applications of large language models, emphasizing their effectiveness in unstructured data analysis. The duo also highlights the importance of balancing AI with traditional analytics to avoid pitfalls. With real-world scenarios, they demonstrate how adopting generative AI can lead to improved productivity and ROI, stressing the need for high data quality and human oversight.
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Ideal LLM Use Cases
- Large language models excel at handling unstructured data like text, documents, and transcripts.
- They are best applied for natural language interactions and content generation like emails and code.
Balancing AI Hype and Reality
- There's lots of hype around AI but many don't fully understand its capabilities.
- Leaders must balance excitement with strategic use to avoid wasting resources on low-value projects.
Guard AI Outputs Carefully
- Always maintain a human in the loop and establish guardrails to ensure trustworthy outputs from large language models.
- Validate the accuracy and relevance of input data, as poor data quality leads to unreliable results.