Why CIOs are moving away from legacy consulting in the AI era

The structural limits of traditional enterprise consulting are being exposed by artificial intelligence, and the breakdown is occurring at the seams between strategy and execution. As organizations race to adopt AI while managing an increasingly complex cybersecurity situation, the gap between what legacy firms promise and what they can actually deliver has become impossible to ignore.…

Corporate memory loss: How the global memory shortage is reshaping device planning

AI’s rapid growth is putting new strain on the global supply chain at a scale we haven’t felt since the pandemic. This time, the pressure point is memory. Though small, memory chips are foundational to everything from laptops to hyperscale data centers. Now they’re getting harder to source at predictable prices. Unprecedented demand for High-Bandwidth Memory (HBM) in AI…

The IT Leader’s AI PC Planning Guide: Key Considerations and HP Device Recommendations

AI PCs offer compelling capabilities: smarter applications, faster performance, and on-device intelligence that reduces dependence on the cloud. But realizing that value requires a deployment strategy built around business objectives, user needs, and operational reality. As organizations evaluate where AI PCs fit into broader endpoint strategies, leaders must also weigh device standardization opportunities, support requirements, refresh timing, and…

The AI paradox: How AI fixes the crisis it creates

The rise of AI has created significant challenges for modern data center infrastructure in terms of power management. Traditional enterprise racks that once consumed an average of 7-10 kW, require close to 30-100 kW today. This significant increase in computational requirements has revealed a fundamental bottleneck: The traditional infrastructure isn’t enough to sustain ‌AI growth.…

Micro and macro agents: The emerging architecture of the agentic enterprise

Artificial intelligence is entering a new phase. For the past decade, enterprises have focused primarily on predictive analytics and automation — using machine learning models to classify data, detect patterns and improve decision making. Today, a new paradigm is emerging: Agentic AI, systems capable of autonomously executing tasks and coordinating complex workflows. Yet despite the…