AI Development Technology Trends

What Is NVIDIA NemoClaw and What Role Does It Play in Agentic AI Systems?

NVIDIA NemoClaw is an agent runtime and orchestration layer that coordinates AI execution across edge devices and cloud systems during live workflows. Distributed AI architectures are necessary when applications require low-latency interaction, local context awareness, and controlled cloud usage. NemoClaw determines where tasks run based on intent, context, and execution requirements – rather than fixed […]

AI Trends

Closing the Observability Gap in Enterprise AI

Recent real-world AI incidents have shown that AI systems can fail while everything appears operational – especially in on-premise, hybrid, and sovereign AI environments. Organizations are already facing situations where AI assistants generate hallucinated responses, expose unsafe content, violate policy controls, or produce misleading outputs – without any obvious infrastructure outage or application failure. More […]

AI Technology

Banks and Insurers Are Starting to Warm Up to Modernizing Their Core IT Systems

A recent roundtable discussion revealed that financial institutions may be softening their long-standing resistance to core IT renewal – as AI raises the stakes and exposes the limitations of legacy systems. The debate, hosted by SoftServe and Google Cloud at London’s House of Lords, brought together senior technology and operations leaders from across financial services. […]

AI Development QA

How to choose map technology for Android apps – and where ARCore and AI actually help

The right map technology for your Android app depends mostly on two things: what your team already knows, and your budget. That sounds less exciting than comparing feature lists, but it’s the truth. Teams rarely fail because they picked the “wrong headline feature.” They fail because they underestimated long‑term costs or chose something their team […]