Boardrooms demanded explainable AI long before chatbots charmed end users, and the gap between friendly prose and audited numbers left most pilots stranded in “demo limbo” where no one could sign off the results with confidence. Alteryx’s AI Insights Agent set out to close that gap by wiring Gemini
Two teams ask an AI agent for last quarter’s net revenue retention, receive two different numbers, and both results arrive stamped with confident explanations that sound right but do not agree. That is the moment dashboards stop being helpful, workflows stall, and trust in automation cracks—because
Boardrooms kept asking for proof that AI agents could manage messy, real-world work instead of chat-script parlor tricks, and the answer arrived with a staged but telling trial: a multi-agent system planning a full marathon through the chaos of Las Vegas while showcasing the entire lifecycle of
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
Budget pressure, AI ambition, and the refusal to replatform all at once converge to make enterprises ask for one operating model that modernizes delivery, contains cost, and keeps core systems available without risky big-bang moves. Hyve’s collaboration with Red Hat targets exactly that demand with
Richard Lavaile sits down with Chloe Maraina, a business intelligence leader who turns big data into crisp narratives that executives can act on. With a front-row view of AI’s accelerating impact on leadership, operating models, and market structure, Chloe dissects the week’s pivotal moves—from
Vessel operators have spent years wrestling with technical manuals that look complete on paper yet stall the very processes they are supposed to enable, because unstructured PDFs and mismatched codes choke the path from documentation to maintenance and procurement. That bottleneck has defined the
Chloe Maraina sits at the intersection of logic and visualization, possessing a rare ability to transform cold, raw data into narratives that drive high-level business strategy. As a Business Intelligence expert with a deep background in data science, she has spent her career watching the evolution
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
Chloe Maraina is a visionary leader in the realm of business intelligence, known for her ability to transform complex data architectures into compelling narratives that drive corporate strategy. With a deep background in data science and a specialized focus on the integration of emerging
