Across its production AI environment, Concurrence now processes approximately 100.8 billion input tokens and 11.2 million LLM calls every 30 days, equivalent to an annualized run rate of roughly 1.2 ...
Genie One MCP lets external AI agents use the power of Genie One’s governed conversational analytics capabilities by sending a natural-language question. Genie interprets the business terminology, ...
• The Genie One MCP server is now generally available, bringing trusted, data-smart insights across both structured and unstructured data from Genie into any AI agent workflow. • Grounded in Genie ...
See how anomaly detection catches gray failures — silent, partial outages that slip past green dashboards — in minutes, and ...
This post walks through how we approach mobile security internally. Instead of focusing on just one product, our approach consists of four layers, each serving a specific purpose: device management, ...
Drives continued innovation with Lakebase, Genie, and Unity Gateway, equipping enterprise agents with context, control, choice, and cost optimisation. Expands its Singapore workforce to more than 500 ...
ML can flag suspicious accounts, but providers need a governed business process to turn those insights into investigation, recovery, and measurable action. A Databricks App connects risk ...
Every Postgres vendor calls itself "managed." Few of them agree on what that word covers. Some mean they patch the operating system (OS) and leave the rest to the database team. Others mean the ...
AgentOps is the operating discipline for building, evaluating, governing and improving AI agents in production. The Big Book of AgentOps provides practical guidance on architecture, evaluation, ...
Choosing a database instance size before you know the workload is an old building pattern. The process is generally wonky and feels very wasteful of compute, especially now that compute is becoming a ...
An AI copilot is an intelligent assistant that works alongside you inside the tools you already use, offering suggestions, generating content, and automating routine tasks rather than replacing human ...
Data governance tools enforce access control, data quality checks, and lineage tracking at the platform layer, blocking unauthorized or corrupted data before it reaches analytics, BI, and AI/ML ...
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