Topic: enterprise ai challenges
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AI's Next Frontier: Databases Over Big Models
The future of AI depends on robust data infrastructure, with companies shifting focus from algorithms to scalable, high-speed databases to fuel AI-driven workflows. Major acquisitions (e.g., Snowflake buying Crunchy Data, Databricks acquiring Neon) highlight the trend of AI competition moving dow...
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Google Gemini's Lack of Transparency Hinders Enterprise Debugging
Google Gemini's reduced transparency, particularly hiding raw reasoning tokens in Gemini 2.5 Pro, frustrates developers who rely on these details for debugging, sparking debate over usability versus developer needs. The removal of Chain of Thought (CoT) outputs complicates enterprise AI adoption,...
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