There is an understated yet critical shift going on right now in data analytics. The traditional relationship between business leaders and data, which has long been defined by a single, exhausting action is being gradually phased out in favor of a model where AI systems mine the insights themselves through autonomous, proactive execution...

AI adoption is accelerating across every industry. Executives are under pressure to improve productivity, automate workflows, and unlock new insights through Generative AI. At the same time, there is growing concern that organizations that fail to embrace AI risk falling behind more agile competitors. Yet despite the excitement, many companies struggle to move beyond pilot projects and isolated use cases. The problem usually isn’t the AI model. It’s the foundation beneath it.

There is a shift happening in the ITSM landscape in 2026. From using chatbots that deflect tickets, ITSM has shifted to the use of “AI agents that resolve these tickets. As such, we are now in this era of Agentic AI, where systems possess a “reasoning engine” that allows them to plan and execute multi-step tasks autonomously...

As artificial intelligence (AI) continues to evolve in its capabilities, it has been making its way into critical processes of various business operations. This is especially true in business intelligence (BI)...