Blog here: The Race for Generative AI and LLM Supremacy — Insights From CES AI House 2025 | GMI Cloud blog
Summary of takeaways at CES 2025 AI House’s panel discussing the Race for Generative AI and LLM Supremacy:
Start Small: Focus on achievable goals with clear ROI before scaling.
Data Quality: Build on a solid data foundation to maximize AI’s potential.
Execution Matters: Implementation separates leaders from laggards—embrace the challenge of scaling AI to production.
- There is still massive room to grow (77% of companies exploring LLMs for production use), but the decisions around how to use AI need to improve - R “Ray” Wang
- New skillsets will emerge after AI replaces some current skillsets - Stephanie Buckner
- AI projects need to be business projects, with expected ROI and pragmatic approaches. Yujing Qian recommends starting small and focusing AI integration by tackling data issues first
- AI Agents will rise, but the bottleneck is having good data. Hassan Sawaf recommends microagents for AI solutions to ensure compliance, enforce security, and mitigate bias.
- Stephanie notes that data quality trumps AI modeling, and data must be integrated into the foundation
- Automate everything, then decide what parts should not be automated and need a human touch. Understanding where liability exists is going to be crucial going forward.
- “LLMs is a cool battle, but datasets are equally important.” Companies need to be better at retaining ownership of their data.
LLMs and datasets - the value wars have begun.