Requiring customer service teams to juggle multiple channels, products and technology has made a once simple idea — delivering a great customer experience — inevitably more complex. With the advent of artificial intelligence, AI in customer support carries the promise of streamlining the use of multiple applications and knowledge bases, while helping to meet increasingly personalized ...

Artificial intelligence models are growing more complex and data-hungry. Across the industry, organizations are rethinking how they manage and refine data to keep pace with accelerated computing and real-time intelligence needs, driving a new focus on AI-ready storage infrastructure. These days, many enterprises are trying to pour as much power as possible into massive graphics ...

In complex enterprise resource planning environments, the difference between success and struggle often comes down to having a clear path forward — which is why a structured benchmark process is essential. For many enterprises the methodology is rooted in understanding where they are starting from to establish a baseline for moving forward. That foundation supports ...

For information technology leaders at high-growth companies, the shift from reactive firefighting to proactive operations remains the ultimate — and often elusive — goal. At Stack Overflow, achieving this required a strategic pivot toward artificial intelligence, using AI-powered service management to streamline internal workflows and support a global developer community. Manual processes previously plagued employee ...

Enterprise resource planning, or ERP, was designed for predictability — but today’s operational landscape is anything but familiar. As supply chain disruptions become the norm rather than the exception, the static nature of the traditional mid-market manufacturing ERP is no longer sufficient for agile enterprises. To address this, QAD Inc. is focusing on tangible ERP ...

For many enterprises, changes in information technology service management are par for the course. But ITSM migration to the cloud still depends on complex implementation cycles that push out time to value. The need to balance enterprise-grade capabilities with implementation simplicity has led organizations to seek platforms that minimize external dependencies. Yet legacy on-premises systems ...

Platform engineering teams are broadening their focus as organizations look for consistent ways to run artificial intelligence systems. New agent-focused tools, including registries, are emerging to help teams manage AI more safely and predictably. Early in the AI moment, tools were baked directly into an agent’s code, forcing developers to hardwire which tools an agent ...

Enterprises are struggling to move artificial intelligence beyond the testing phase. The next step in this evolution requires new, purpose-built agentic AI platforms designed for governance, trust and security — not just simple automation. Building these platforms means looking beyond the technology that’s captured most of the headlines. Though powerful on their own, large language ...

Enterprises are shifting from traditional systems of record to intelligent systems of action that drive smarter decision-making on the factory floor, especially in areas like inventory optimization. Meanwhile, artificial intelligence is emerging not as a job replacer — but as a powerful co-pilot. Manufacturers are turning to AI to tame complex planning environments. A major ...

There have been a range of efforts in recent years to take advantage of artificial intelligence for information technology operations, or AIOps. Using machine learning, these initiatives have enjoyed limited success at correlating alerts and detecting anomalies across the vast IT telemetry streams. Now, AI for IT operations is poised to deliver on its long-promised ...