Observability stories
AI workloads are intensifying pressure on enterprise Java systems, making Azul's product hire central to its push on security, performance and cost control.
AI agents are driving a sharp rise in demand for the real-time data platform, which added 1000 customers early in 2026 to top 4000.
Businesses in the preview can use the model for real-time coding, support and trading tasks, with responses up to 14 times faster.
Enterprises could cut the cost of running AI agents, as Writer says its upgraded system is 41% cheaper per task and easier to govern.
The appointment signals Auvik's push to sell more AI tools and expand through partners as it targets growth across existing accounts and new markets.
Database teams could get faster specialist help as the new offering fixes scope and cost for security, tuning and migration projects.
The new tool aims to speed enterprise app building while keeping AI-generated outputs governable, auditable and easier to deploy safely.
Large-scale rollout of Agentic AI in telecoms will hinge on common standards, governance and safety controls, NGMN warned.
Enterprises can now monitor workspace telemetry and spin up secure cloud development environments without adding more infrastructure to run.
Realistic-looking security evidence can be fabricated when memory, simulation and model hallucinations blur provenance in AI workflows.
The breach exposed how autonomous agents can outrun human-tuned defences, making identity governance the real line of defence for enterprises.
Database teams will compare notes on sovereignty, resilience and compliance as the conference returns to Europe this year.
Customers can now build AI apps with live web data and vector search in one AWS stack, reducing database sprawl and latency.
The preview could help GKE users enforce cluster-wide security without clashing with namespace rules, especially in multi-tenant environments.
Businesses weighing AI spending may see Google's Forrester ranking as a boost, with Gemini Enterprise aimed at uniting users, developers and IT teams.
That overhaul has slashed campaign rollout times from months to days, while also boosting production efficiency and content output across agencies.
Customers can now use plain-language prompts to manage Nutanix cloud systems, while existing access controls and audit logs stay in place.
IT teams can now issue endpoint tasks from AI assistants, with PDQ keeping permissions, authentication and audit trails intact.
Customers can now shift production pipelines to the managed platform without rebuilding connectors or reloading months of data.
AI growth and tighter sovereignty rules are pushing Australian enterprises to spread workloads across public, private and sovereign clouds.