Data Management
Setting the hook Why would a refinery race to build its own generative AI while margins compress, demand patterns shift, legacy systems creak, and thousands of frontline workers rely on mobile devices for every shift task? A sharper question sat behind that one: could a heavy-industry incumbent convert curiosity into enterprise-scale adoption
AI-driven work now begins with a prompt not a menu, and that shift has quietly moved the center of gravity from the application interface to the data beneath it, where accuracy, context, and governance now decide whether copilots and agents help or hallucinate. As natural language becomes the command surface across functions, the stakes changed:
Understanding the AI Landscape in Enterprise Environments The enterprise adoption of artificial intelligence (AI) has reached a pivotal moment, with generative AI (genAI) and agentic AI leading a transformative wave across industries. GenAI, capable of producing content like text and images, and agentic AI, designed for autonomous decision-making,
In the high-stakes world of finance, a single minute of downtime can cost millions, cripple trades, and shatter client trust, making endpoint resilience a critical shield against disaster. Picture a bustling trading floor in New York, screens flickering to black mid-transaction during a volatile market surge. The chaos is immediate—deals stall,
In an era where digital infrastructure underpins nearly every facet of business operations, a critical vulnerability often goes unnoticed until disaster strikes—endpoints. These devices, including laptops, desktops, and other user tools, serve as the primary conduits for employees to access data and execute essential tasks, making them vital to