Unstructured data has been a major headache for many enterprises. Daily, enterprises generate 50+GB of logs per 100-node cluster. This results in tonnes of  unstructured data from tickets, emails, and logs, which pressurises the whole system. But there is a way – unstructured data analysis with AI. AI can parse, structure, and enric

AI adoption across enterprises has been steadily growing. In 2023, 55% of enterprises were using AI in one or more business functions; today, this number is 78%. Enterprises in 2026 are not asking whether to automate; they are asking where AI can deliver measurable cost efficiency. But blindly replacing all RPAs with AI is not the solution. True RO

AI is no longer a question of “if” or “when.” It is already embedded in how enterprises operate, compete, and make decisions. The pressure to adopt it is real, and in many cases, urgent. But beneath that momentum, there is a quieter challenge that does not get enough attention.The Problem: Overbuilt, Underperforming AI Stack

AI is no longer a side initiative. It is a board-level priority tied directly to growth, efficiency, and competitive advantage. Yet, across industries, a familiar pattern continues to play out. Organizations invest in advanced models, experiment with automation, and pilot intelligent systems, but struggle to move beyond controlled environments into

Did you know that enterprise cloud strategy is going through a quiet reset in 2026?For nearly a decade, cloud conversations focused on migration targets, modernization timelines, and cost optimization. Success was often measured by how much infrastructure organizations could move out of their data centers. That approach worked well for traditional