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The messaging and data streaming industries are constantly evolving, with major shifts such as large vendor purchases. If your company relies heavily on a platform such as Apache Kafka and you recently discovered that your vendor was acquired by a competitor, you are most likely dealing with a combination of uncertainty, budgetary risks, and technical difficulties.

Companies are rapidly adopting AI, but it's not all roses. The excitement comes with significant risks, such as shadow AI, runaway costs, and security nightmares. This post explores the real challenges organizations face in AI governance today and highlights how forward-thinking companies are beginning to tackle them. Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents.

The Fivetran binary log reader optimizes change data capture for superior performance and lower impact when replicating from SQL Server.

Over 875,000 providers work with Cognizant’s TriZetto healthcare and insurance administration solutions. That means all 875,000 should be taking precautions to secure data on these platforms and stay compliant under HIPAA and GDPR, relevant to the healthcare industry. Yet, I still see TriZetto users allowing sensitive data into non-production environments. TriZetto data masking is key to preventing noncompliance and its consequences.

In the steel fabrication industry, operational efficiency is defined by how well you manage data. Tekla PowerFab is the undisputed heavy lifter for estimating, production control, and inventory management. It is robust, reliable, and deeply integrated into shop floor workflows. However, as steel fabricators look to digital transformation—building custom mobile apps for site managers or feeding data into modern analytics platforms—they hit a roadblock.