Sovereign cloud is rapidly emerging as the foundation of next-generation digital infrastructure, driving a global shift in how data and compute are controlled across borders. This was just one of the topics of discussion on this week’s theCUBE Pod episode with John Furrier (pictured, left), executive analyst, and Dave Vellante (right), chief analyst at theCUBE ...

API management is fast becoming the linchpin of modern enterprise automation. As companies evolve from system integration to orchestrating intelligent, AI-driven workflows, the need for robust governance and interoperability is paramount. Platforms that unify API management with automation and agentic design are now essential, enabling teams to build scalable, secure and business-aligned digital ecosystems, according ...

Intelligent automation is no longer optional; it’s the engine driving the next era of enterprise decision-making and execution. As businesses face mounting pressure to operate with greater speed, resilience and precision, automation technologies are stepping beyond routine tasks to power adaptive systems that can respond in real time. What was once considered emerging tech has ...

Data governance is having a moment — and it’s long overdue. As artificial intelligence accelerates and platforms multiply, enterprise leaders are shifting from experimentation to execution. At Boomi World, theCUBE’s keynote analysis spotlighted why data governance is no longer a backend concern, but a strategic pillar for scaling innovation, enforcing accountability and building platforms that actually ...

Modern workloads demand a hybrid cloud strategy built for speed, scale and seamless migration. As enterprise infrastructure becomes more distributed and application demands escalate, hybrid cloud is no longer a future option, it’s a current necessity. The evolving complexity of IT environments, driven by AI, containerization and cloud-native applications, is shifting organizations away from static ...

Intelligent decisioning is emerging as a cornerstone of modern enterprise artificial intelligence as organizations shift from isolated experiments to operationalized, accountable outcomes. In sectors such as financial services and life sciences, where speed, trust and compliance are non-negotiable, decisioning frameworks are becoming essential to translate massive volumes of data into reliable, real-time action. With AI ...

Optimized intelligence is redefining how enterprises approach AI workloads, signaling a shift away from the GPU-first mindset that has dominated recent years. As AI adoption surges, companies are prioritizing architecture that aligns with specific use cases, delivering smarter performance, lower costs and greater trust across hybrid and multicloud environments. Key conversations across the industry now ...

From smarter factories to predictive supply chains, artificial intelligence is entering a new phase, powered in part by quantum AI and its ability to tackle problems too complex for classical computing. As enterprises move past the hype of generative models, they’re embracing a future built on intelligent agents, digital twins and high-dimensional simulations. The emphasis ...

Enterprise AI isn’t just changing how tech works — it’s rewriting the rules of business, cloud growth and global power. That momentum is visible across every layer of the enterprise landscape, with enterprise AI reshaping cloud infrastructure, software economics and global tech policy. Once considered a niche productivity booster, AI is now central to how ...

Cybersecurity threats are entering a new era as artificial intelligence tools such as FraudGPT and WormGPT fuel the rapid rise of cybercrime-as-a-service. No longer reliant on brute-force tactics, attackers now use AI to automate reconnaissance, craft highly targeted phishing campaigns and execute complex, multilayered attacks with precision. In response, defenders are turning to agentic automation, ...