Real-Time Analytics

Boardrooms buzzed about generative breakthroughs, yet a colder reality surfaced as a new survey found that the majority of enterprises still cannot move data freely enough to feed the very models they hope will transform the business. That tension between ambition and access set the stakes: growth

Operational missteps in aviation rarely stem from a lack of data; they arise when flight events, maintenance actions, and parts movements live in silos that resist timely reconciliation and leave crews guessing at the truth on the ramp. When a flight logbook update must traverse email chains before

For the first time at true hyperscale, a social platform’s AI backbone is being rebuilt around commodity-efficient Arm CPUs to orchestrate billions of agentic interactions while GPUs and custom accelerators focus on raw parallel compute. Meta’s agreement to deploy tens of millions of AWS Graviton5

The moment agents stopped asking for dashboards and started filing tickets, shipping code, and adjusting prices, the quiet plumbing of data platforms became the frontline that decided whether automation saved money or broke production. Enterprises that once tolerated stale extracts and fragmented

The race to deploy generative intelligence has reached a fever pitch, yet most enterprise architectures are currently struggling to keep pace with the sheer volume of high-velocity data required for autonomous decision-making. In the current corporate landscape, the transition from traditional data

The decision to overhaul an enterprise resource planning system often marks a defining moment for modern corporations, determining whether they will thrive on innovation or struggle under the weight of legacy technical debt for years to come. As the deadline for standard support for legacy SAP