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Life sciences analytics teams know the dynamic well: the question takes five minutes to ask and six weeks to answer. By the time the extract is ready, the interim analysis window has passed, the formulary negotiation is over, or the adverse event report is already pressing the 15-day FDA deadline. This is the default operating […]
In SaaS data analytics, the gap between the question and the answer can determine whether a product decision gets made this week or next quarter. Your Customer Success team wants to know which accounts are drifting toward churn. Your RevOps lead wants to know where expansion signals are strongest. Your product team wants to understand […]
Something I keep hearing in conversations with customers and prospects right now is a version of the same frustration: we have executive buy-in, budget approved, models selected, and we still cannot ship anything meaningful. The AI initiative is stalled, and everyone is looking at the data team. Then there are the teams who are already […]
Retail analytics decisions: markdown timing, campaign activation, inventory replenishment. They are supposed to be data-driven. But at most retailers, the data isn’t ready when the decision needs to be made. Your merchandising team sends a request to data engineering on Monday. The report comes back Thursday. By then, the sell-through window has shifted, the promotion […]
How data architects can close the gap between the AI mandate and the infrastructure that actually delivers it If you are a data architect right now, you are likely operating under some version of the same executive mandate: implement AI, and do it fast. The pressure is real. So is the gap between what leadership […]
Today, we’re excited to announce the general availability of Dremio’s latest release, delivering accelerated AI and analytics through intelligent automation. Marking the next generation of Dremio, this release represents a significant milestone in our mission to eliminate technical complexity and resource waste through autonomous capabilities, empowering teams to innovate rather than maintain. In today’s economic […]
The data landscape is evolving at an unprecedented pace, and organizations are constantly seeking ways to maximize the value of their data while maintaining flexibility and control. Dremio 25.2 rises to meet these needs by expanding its support for lakehouse catalogs and metastores across all deployment models: on-premise, cloud, and hybrid. This release makes Dremio […]
