xAI made people's conversations with its chatbot public on Google w/o warning
4 days ago
- #AI Deployment
- #Enterprise Technology
- #Data Strategy
- There are over 20,000 AI companies in the U.S., offering a wide range of solutions.
- To avoid choice overload, focus on your most important AI use case, such as RAG-based search.
- Select a best-of-breed, enterprise-tested solution for your primary use case.
- Different departments may need different AI tools, so implement a controlled deployment framework.
- Consider building a custom AI solution if no existing tools meet your specific or sensitive needs.
- Ensure your data is AI-ready, accessible, and not siloed to facilitate seamless AI integration.
- Consolidate data in a single location or use a unified platform to avoid costly data migrations.
- Retain flexibility to switch AI tools if needed, ensuring your data strategy supports this adaptability.
- Example: A global energy leader built custom AI to protect proprietary data, despite high costs.
- Example: A company uses AI for customer retention, leveraging consolidated data for better insights.