Unlocking the ROI of AI: How enterprises can move from experimentation to execution

Despite the buzz surrounding AI, many organizations struggle to move beyond experimentation and pilot programs to fully scale AI across their enterprises. According to recent industry research conducted by EXL, while 96% of organizations believe scaling their AI initiatives over the next year is very important, companies have successfully integrated AI into less than half…

Why training budgets are now strategic weapons

Remember when training meant scheduling a conference room, ordering catering, and hoping people would stay awake through PowerPoint slides? Those days are gone. The pandemic didn’t just force us online — it exposed something we suspected but couldn’t prove: our workforce’s skills were decaying faster than any annual training cycle could fix. What replaced that…

Key strategic decisions for your AI-ready data center

The infrastructure demands of modern data centers are undergoing a fundamental shift. As organizations deploy increasingly complex AI/ML models, high-performance computing clusters and real-time analytics platforms, traditional scale-up architectures have reached their limits. For CIOs, CTOs and data center managers, the question is no longer whether to adopt scale-out networking, but how to build it…

How to get AI democratization right

One primary IT objective is to reduce the complexity of using technology to empower business teams to continuously improve operations. In doing so, CIOs help departments become more customer-focused, efficient, and data-driven by leveraging their expertise to define their technical operations, often without IT’s direct involvement. This democratization of technology and data now extends to…