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‍ In 2025, enterprises are under more pressure than ever to do more with less, be agile, maintain reliability, and support growing adoption of AI, cloud, and hybrid systems. IT infrastructure automation is no longer a “nice-to-have” but is becoming mission-critical. Recent industry research shows just how fast this shift is happening.

Looking to integrate industrial data with modern web applications? Here's the gist: Kepware collects OPC UA data from industrial devices, while Ignition processes and shares it as REST APIs. Together, they bridge industrial systems with web tools like dashboards, mobile apps, and cloud analytics. Key Takeaways: 1. Kepware acts as an OPC UA server, gathering and converting data from industrial devices. 2.

Two data challenges exist across almost all organizations: access and trust. These issues scale exponentially as an organization grows to the point that it can no longer hand around sheets of paper or approve database access. The demand for better data access drove the history of data warehousing, following the ethos that better decisions come from more data and that compute would catch up with demand. However, the hunger for collecting more data didn’t come without a cost.

As enterprises embed gen AI into their workflows, many are discovering a minefield of risks. Data privacy breaches, misinformation, adversarial attacks and hidden bias are just a few of the challenges that can derail gen AI initiatives. These aren't just technical concerns, they're business-critical issues that can erode trust, trigger legal consequences, and tarnish reputations.

ClearML Enterprise v3.27 delivers on the three capabilities most requested by practitioners : clear visibility into compute consumption inside projects, simpler and safer access control for remote sessions and deployed endpoints, and quality-of-life upgrades across the UI. The result is better cost control, stronger governance, and faster day-to-day execution.