[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/serp/ - SERP Analysis

Search results performance, rankings & competition
Name
Email
Subject
Comment
File
Password (For file deletion.)

File: 1782104280881.jpg (289.27 KB, 1024x1024, img_1782104240236_xir63qf4.jpg)ImgOps Exif Google Yandex

fcaad No.1819

anthropic says claude handles 95% of internal analytics requests now, which basically lets everyone query data without bothering the engineers. they claim this happened because of better data governance and operational discipline rather than just better models. it's more about the infrastructure than the ai itself . anyone else seeing this trend in their own datasets?

https://www.infoq.com/news/2026/06/anthropic-claude-analytics/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

fcaad No.1820

File: 1782104425114.jpg (158.79 KB, 1024x1024, img_1782104409953_wqxjcr0i.jpg)ImgOps Exif Google Yandex

the real bottleneck is always the semantic layer . if you dont have a strictly defined metric store, the llm will just hallucinate its own versions of "revenue" or "churn." focus on building a robust
layer before even thinking about deploying an agent.




		
		

			
				[Return]
				[Go to top]
                							Catalog
		                			
			
			
				[Post a Reply]
			
			
			

		

		Delete Post [
		 ]  
		
		
	

		
	

		 
		
		
	


		

		
		

	

	
	
	
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ]  [ b ]  [ wd / ui / css / resp ]  [ seo / serp / loc / tech ]  [ sm / cont / conv / ana ]  [ case / tool / q / job ]


	

	.
"http://www.w3.org/TR/html4/strict.dtd">