Enterprise AI is moving fast, but not fast enough to outrun the governance blind spots that are quietly undermining the rush from controlled pilots to at-scale production. With one in five organizations reporting a breach tied to shadow AI and only 37% having policies in place to manage or detect it, the governance gap has ...

As enterprises race to adopt AI without sacrificing control or flexibility, open-source infrastructure is the stable foundation that enables organizations to modernize while maintaining full digital sovereignty. The promise of cloud computing was flexibility — but for many enterprises, years of deepening proprietary dependencies have quietly turned that flexibility into a constraint. That is a ...

Multicloud resilience is no longer a buzzword. As enterprises wrestle with surging AI adoption and mounting compliance pressures, digital sovereignty has become the new battleground for control over infrastructure and data. That conversation was a top agenda item at SUSECON, where resilience, multicloud choice and AI all emerged as key forces shaping enterprise IT. Open-source infrastructure ...

Agentic AI orchestration has become the engine of enterprise AI success, but technology alone won’t get it there. The real differentiator is business-led execution that ties AI workflows directly to outcomes, building on existing systems rather than replacing them. Agentic AI demands coordination across business departments and units. But many failures come from focusing too much on ...

Fragmented anti-trafficking efforts across the U.S. are leaving communities without the complete picture they need to protect vulnerable populations. But as AI and advanced data-driven tools mature, organizations working to end human trafficking now have an opportunity to convert that scattered data into coordinated action. For more than 15 years, Qlik Technologies Inc. has partnered ...

As enterprises push to eliminate latency and guarantee continuous availability, distributed multicloud architectures have become the foundation of a new data reality. In this new world, AI is mission-critical for large organizations and the data they process. Sustaining it requires strong transaction support, consistent data and the ability to deliver inferencing power at the edge, ...

AI-driven decision-making has arrived, putting a focus on trusted data and strong governance so outputs stay reliable at scale. The shift is rewriting the relationship between people and data. Instead of relying on dashboards and reports to drive action, AI can now handle much of that work and even act on our behalf, according to ...

The question is no longer whether to deploy AI — it’s why so many deployments stall before delivering returns. The answer usually comes down to a lack of trusted data foundation. As research from Qlik Technologies Inc. and Enterprise Technology Research shows, data quality, availability and governance remain the top blockers to scaling agentic AI ...

Enterprise AI deployments are stalling not because agents are hard to build, but because organizations lack the data infrastructure to run them reliably at scale. The shift from chatbots to autonomous, multi-step agents has exposed a structural gap in agentic AI development. Oracle Corp. is positioning the database as the center of gravity for enterprise ...

AI can now generate thousands of lines of working code in minutes — but the question of whether enterprises can trust what those systems build has become the defining challenge of the current moment. Now, Oracle Corp. is betting on AI database convergence as a solution. As agentic AI reshapes enterprise data architecture, the pressure ...