This video outlines four strategies for using generative AI tools like ChatGPT, Microsoft Copilot, Gemini, and Claude without compromising confidential company data. The speaker shares strategies he's used with over 5,000 people.
Give headers, not data: Provide AI with only column headers from your dataset, not the actual data. The AI can then generate analysis suggestions and formulas tailored to your data structure without accessing the sensitive information.
Request Python code: Ask the AI to generate Python code to perform the desired task. This allows you to execute the analysis within your own secure environment, eliminating the need to share data directly with the AI.
Use open-source LLMs locally: Download and run open-source large language models (LLMs) on your personal computer. This ensures data remains local and under your control.
Enterprise LLM licenses: Consider purchasing enterprise licenses for AI tools. While the previous three methods work well individually, enterprise licenses provide a team-friendly solution for daily use and address data security concerns comprehensively. The speaker mentions that data security concerns are similar to those surrounding the initial adoption of cloud services.
