#figure-ai

#figure-ai

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.

The quiz contains 7 questions and there is no time limit. You'll get 1 point for each correct answer.

Google aims to enhance the image generation capabilities of Nano Banana 2 by utilizing personalized data from users' Google accounts, including their YouTube history and Google Photos. This integration allows for more relevant and tailored image outputs without requiring users to provide extensive context.

"Claude has regressed to the point it cannot be trusted to perform complex engineering," an AMD senior director wrote in a widely shared post on GitHub.

Weather impacts sales. Every retailer knows it. But for most, the likelihood that it might rain, snow, or sleet on the third of March somewhere in the Midwest is rarely used. Vendors such as Weather Trends have offered accurate, long-range forecasts for more than 20 years. But the opportunity is not predicting the weather; it's knowing what to do with the data. AI might change that.

Every year, poor communication and siloed data bleed companies of productivity and profit. Research shows U.S. businesses lose up to $1.2 trillion annually to ineffective communication, that's about $12,506 per employee per year. This stems from breakdowns that waste an average of 7.47 hours per employee each week on miscommunications. The damage isn't only interpersonal; it's structural. Disconnected and fragmented data systems mean that employees spend around 12 hours per week just searching for information trapped in those silos.