The future of enterprise architecture isn’t cloud-first — it’s intelligence-first. And the shift is already underway.

Global companies are spending heavily on AI, but the harder test is whether their operating systems can support automat ...

At last week’s Google Cloud Next ’26 conference in Las Vegas, Google’s announcements reinforced its momentum as an integrated ...

Multiple human roles—sales development, implementation and early customer success—can be handled by coordinated AI agents.

Mosaic Singularity today launched HeartBeatAgents 1.0 , a production-grade substrate on which enterprise teams deploy ...

At its recent TDX conference, Salesforce's community of Trailblazers - architects, developers and admins - were anxious about ...

Where early enterprise AI projects involved a handful of large, scheduled training jobs, production agentic environments ...

Unitree’s G1 humanoid robot uses wheels, roller skates, and ice skates in a new demo showing advances in robot mobility and ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

The MACH Alliance hosted a panel discussion on Towards a Fully Enabled Enterprise at its MACH X event in Toronto. The event, ...

Hedgehog, the AI network company simplifying how AI infrastructure is built and operated, today announced it has contributed its AI training fabric and AI inference fabric designs to the Open Compute ...