AI observability stories
The funding will help Qodo expand globally as enterprises look for ways to verify AI-written code before it reaches production systems.
The new tools aim to help firms spot faulty AI outputs and data risks sooner as production deployments outpace monitoring methods.
Many firms are failing to turn AI trials into production systems, with poor controls and weak data forcing almost half of projects to stall.
AI assistants can now query live workflow status and diagnostics, reducing reliance on dashboards for regulated firms using Adeptia's software.
The software aims to curb AI job failures and GPU waste as enterprises push agentic workloads into production on Nutanix systems.
The rollout pushes Oracle deeper into AI-driven automation, as the new tools aim to cut manual hand-offs across finance, HR, supply chain and CX.
Customers will no longer need separate AI purchases as every ServiceNow product now bundles automation, governance and data tools by default.
The funding backs a push into AI data centres, where better network control could lift model utilisation and cut token costs.
Enterprises scaling AI are finding that reliable, real-time data pipelines and governance now matter more than model choice for ROI and control.
Rising automation and data growth are exposing cloud users to identity drift, hidden telemetry gaps and fragmented defences.
Security teams face a wider gap as enterprise AI moves into production, with data governance and runtime controls often managed separately.
Customers can now get tailored content and AI search in Sitefinity, as Progress adds governed personalisation and conversational tools.
Rising AI and hybrid cloud traffic is fuelling demand for tools that spot security blind spots, with the market growing 18 per cent in 2025.
Enterprises deploying agentic AI are getting a new tool to spot data leaks, policy breaches and runaway costs before they spread.
Greater scrutiny of generative AI is set to push observability spending up as companies seek to prove outputs are accurate and traceable.
Outages and opaque AI decisions are pushing APAC firms to use observability to keep automated systems reliable, accountable and compliant.
Businesses can now link AI spending to revenue or approvals as Revenium adds workflow-level return on investment tracking to its platform.
European mid-sized firms face tighter AI compliance demands as the EU AI Act pushes buyers towards auditable systems in sovereign infrastructure environments.
A single managed platform has eased pressure on Dubber's lean engineering team as it scales observability across more than one million daily calls.
Rising tool sprawl is pushing UK firms towards single observability platforms, with 97% of IT leaders open to consolidation.