Key Takeaways:
- 1. The promise of AI is immense but current infrastructure may not be able to meet future demands.
- 2. CrateDB aims to bridge the gap by providing a unified data layer for analytics, search, and AI.
- 3. The platform enables real-time data processing, reducing query times and facilitating agentic AI workflows.
The article discusses the challenges of scaling AI due to outdated infrastructure and highlights CrateDB as a solution for real-time data processing. CrateDB acts as a bridge between operational data and AI systems, enabling faster insights and facilitating feedback loops. The platform's partnership with Tech Mahindra aims to provide agentic AI solutions for industries like automotive and manufacturing.
Insight: CrateDB is addressing the need for faster and more efficient data processing to support the evolving demands of AI technology.
This article was curated by memoment.jp from the feed source: AI News.
Read the full article here: https://www.artificialintelligence-news.com/news/from-minutes-to-milliseconds-how-cratedb-is-tackling-ai-data-infrastructure/
© All rights belong to the original publisher.
