Salesforce 以 56.6 亿美元现金收购客户互动平台 Braze

Foundation models are moving beyond text into tabular time-series, and Salesforce embedding one directly into its analytics stack signals that zero-shot forecasting is becoming a default enterprise feature rather than a data-science project. Analysts and BI teams on Tableau or Data 360 can trial it without any modelling work, and competitors like Google BigQuery and AWS Forecast now face a ready-built rival. Plans to put Moirai inside root-cause-analysis agents point to where forecasting products are heading next.

官方账号Salesforce AI Research@SFResearchSource

Most agent benchmarks score a fixed toolset, so they miss the stability-versus-plasticity problem that surfaces in production, where harnesses keep growing and stored artifacts go stale. Teams building or selecting agent frameworks can run the benchmark via the live demo or plug in their own agent to see where their setup fails as capabilities expand. It suits engineering leads evaluating agent reliability over time rather than one-shot benchmark numbers.

官方账号Salesforce AI Research@SFResearchSource

The finding that outcome-level checks can pass while private data leaks mid-negotiation suggests today's agent evaluation metrics miss the failures that matter most in multi-party settings. Teams deploying agents that interact with outside systems should add claim-verification steps to their protocols and score each agent against the party it serves. Researchers studying multi-agent systems get a taxonomy of 20 concrete failure modes to benchmark against.

rohanpaul_ai@rohanpaul_ai11 sourcesSource