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The implications of data privacy regulations on AI

Investment in artificial intelligence (AI) is growing, with 60% of adopters raising their budgets 50% year over year, according to Constellation Research. But working with AI under emerging privacy standards is complex, requiring a dynamic balance that allows for continued innovation without misstepping on regulatory requirements.

Katalon Studio 7.0 beta is here!

The beta version of Katalon Studio 7.0 is ready for trial. This version is developed with a whole new set of features, including desktop application testing, smart execution, and more. Katalon Studio 7.0 (beta) is a package of newly added features that are aimed at solving the common problems that occur in large teams. Refer to our release note to discover the improvements and bug fixes in this version.

5 best practices to deliver trust in your data project: Tip #5 Enforce regulatory compliance with good data

Data regulations require organizations to increase control over their data assets, which in fact can lead to business benefits beyond regulatory compliance. A robust data governance program is pivotal to any data protection or compliance legislation such as CCPA or HIPAA in the US, the Banking Royal Commission in Australia or GDPR in Europe. The traditional data governance disciplines of data ownership, metadata management, data quality management and model governance fully apply.