AI observability stories
The appointments bolster Algolia's push into enterprise AI, as it seeks to turn search into a trusted retrieval layer for customer data.
Users of Buffmee will get faster, better grounded answers after KDDI reduced response latency by 38% and improved first-token speed.
The multi-year rollout aims to ease bandwidth and latency bottlenecks as Oracle scales GPU-heavy cloud clusters across its global AI estate.
The funding will help Lasso expand a guardrail designed to inspect AI traffic at scale without costly GPUs, including for US government users.
A 25-point gap between executives and engineers suggests many UK firms are scaling AI faster than they can diagnose failures or meet governance demands.
Enterprise buyers now have a new tool to curb unpredictable AI bills as Guickly secures USD $4.2 million and targets shadow usage.
The deal could reshape AI infrastructure by tying the leading open-model hub more closely to Nvidia's GPU dominance.
Most organisations are unprepared for AI traffic surges, with 73% expecting campus and branch network capacity limits within two years.
Enterprises want production-grade AI with stronger governance, and AWS validation may help Altimetrik win more deployment work.
Despite high confidence in their controls, most firms still let AI agents run with broad access, and 29% have seen real harm.
Enterprises are demanding audit trails and spending controls as AI agents move from pilots into live systems with access to core business data.
Faster agentic AI adoption is forcing tighter oversight, with new controls on permissions, monitoring and cyber-risk systems.
New controls and tests are being added as agentic AI systems spread, with Microsoft warning that risks now span tools, data and users.
Governments and regulated firms can now keep agentic AI on their own systems, reducing cloud dependence and tighter data controls.
The consultancy says workflow redesign, not tool access, helped triple AI engagement and cut database incident resolution times by 80%.
Rising AI deployments are helping drive broader platform use, with most customers now buying several Grafana products and costs falling.
Rising demand for validated AI infrastructure is driving Cisco and NVIDIA to add rack-scale support for larger enterprise deployments.
Fraud teams and AI builders can now query linked data in BigQuery without moving it to a separate graph database, Google said.
Enterprises can now keep AI workloads and sensitive data on the same private cloud, as Broadcom adds governance and security controls.
Agencies handling hybrid and air-gapped systems could get fuller visibility into IT faults as the platform is made available through Carahsoft's contracts.