In a special session at Qlik Connect this past May in Orlando, attendees got to hear from three industry leaders - Dave Freriks from Qlik, Randy Pettus from Snowflake, and Sathisan Vannadil from AWS - all coming together to detail a cutting-edge integration of generative AI across the three different platforms. Their mission: help oil and gas companies harness the power of advanced data solutions to manage complexity, drive efficiency, and accelerate decision-making.

In today's fast-paced digital world, real-time data streaming has become indispensable for modern enterprises, powering everything from instant insights to enhanced customer experiences. As organizations move critical data infrastructure to the cloud, the need for robust security, risk management, and unwavering compliance is more important than ever. According to the 2025 Data Streaming Report, investments in security remain among the highest priority for 94% of surveyed IT leaders.

Three key trends are changing how organizations approach embedded analytics. Companies that recognize these shifts gain competitive advantages while others struggle with outdated strategies. Ramin Jahanbani has watched this transformation from the front lines. As Senior Divisional Vice President at insightsoftware Data + Analytics, he’s guided hundreds of organizations through analytics decisions over the past decade.

By 2026, all-in-one data platforms will dominate because they deliver faster time-to-value, built-in governance, and AI copilots that actually work. Orchestration-only tools remain powerful for engineering-heavy teams, but most organizations will move to managed platforms that reduce incidents, simplify compliance, and accelerate insight delivery.

Does it sometimes feel like the world of AI is constantly resetting the clock? One day you’re under pressure to deliver value fast with your AI project. The next, a prominent study claims most projects deliver zero value. Then, a leading business publication explains that, actually, value doesn’t even matter right now. All while the technology itself is advancing at a dizzying pace.

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.