Business intelligence
fromZDNET
7 hours agoScaling agentic AI demands a strong data foundation - 4 steps to take first
Trusted quality data is essential for scaling agentic AI adoption in organizations.
Atlassian will seek to collect two types of data from its 300,000 global customers: metadata and in-app data from Jira, Confluence, and its other cloud products, which will then be fed into the company's models.
"Snowflake gives customers one place to bring their data together, connect the systems they rely on, and turn AI into something that actually helps teams get work done," says Baris Gultekin, VP of AI at Snowflake.
New data is reinforcing a structural shift in how AI systems access publisher content: AI models are increasingly scraping publisher content, regardless of bot-blocking measures or content licensing deals meant to control usage, improve attribution or drive referral traffic. New research from analytics firms and bot-tracking companies shows AI tools are increasingly crawling publisher sites as inputs for AI-generated summaries and training, while sending back only limited referral traffic.