School shooting survivor sues AI gun detection firm after system failed to spot weapon
How accurate does an AI system need to be?
DataRobot Blog·
When a major insurer’s AI system takes months to settle a claim that should be resolved in hours, the problem usually isn’t the model in isolation. It’s the system around the model and the latency that system introduces at every step. Speed in enterprise AI isn’t about impressive benchmark numbers. It’s about whether AI can... The post AI latency is a business risk. Here’s how to manage it appeared first on DataRobot.
Read full articleHow accurate does an AI system need to be?
YOM TGE timing and performance claims collide: 30,000+ rigchecks, <12ms latency, and partner date mismatches. Risks, token utility, and gaming use cases assessed.
The third post from Build Club, our weekly live build session. The companion GitHub repo can be found here, docs here and you can try the agent live in the hosted playground. Your agent framework is not the bottleneck. The bottleneck is that every new external system your agent needs to talk to requires another... The post Build an agent that writes its own tools appeared first on DataRobot.
How edge processing for EHS keeps worker data on-site, cuts alert latency, and scales AI safety monitoring across industrial facilities.
The second post from Build Club, our weekly live build session. A companion GitHub repo can be found here. Your inbox is not the problem. The problem is that you are the person other people are waiting on. Some of those messages need you specifically. Most of them need an answer you have already given... The post Build a digital twin agent (with guardrails) appeared first on DataRobot.
Every LLM deployment has a ceiling, a latency curve, and a unit cost. Most teams operate blindly, discovering their deployment limits only when over-provisioning exhausts their GPU budget or peak traffic causes a catastrophic failure. Three numbers matter: maximum sustained concurrency before GPU saturation, end-to-end latency at that concurrency, and cost per million tokens at... The post Industry-standard LLM benchmarks in DataRobot appeared first on DataRobot.
Rate Limiting vs. Quota Reservations: when to use each You have a single gpt-oss-20b deployment. Six teams want to use it. Marketing is running batch summarization jobs at 3am. The fraud team needs sub-second responses 24/7. An intern’s Jupyter notebook is accidentally hammering the endpoint in a tight loop. And your GPU bill is already... The post A practical guide for platform teams managing shared AI deployments appeared first on DataRobot.
The hardest part of building against a new platform is teaching your tools about it. Your coding agent doesn’t know the SDK’s conventions. Your IDE doesn’t know the CLI commands. Your terminal doesn’t know the auth pattern. Every gap is a context switch, and every context switch is time spent away from the work. DataRobot... The post DataRobot for Developers: Skills in Cursor, Gemini, and Claude appeared first on DataRobot.