Operations | Monitoring | ITSM | DevOps | Cloud

What is ServiceNow's AI Control Tower?

What happens when AI agents stop being scattered and start being steered? Customer service queues shrink, teams get time back for high-value work, and everyone finally works off the same data. That’s the power of the ServiceNow AI Control Tower—all your AI, all under control. No more fragmentation. No more busywork. Just visibility, control, and workflows that scale across the entire business.

Poisoning the Well: The Invisible Danger in Your AI Supply Chain

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.

Towards specialized efficient LLMs: Data Scaling Laws and Sparse Adapters

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.

Unifying Autoregressive and Diffusion-Based Language Models

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. In this presentation, Pierre-André Noël will show that, if you squint hard enough, autoregressive language models are a special case of diffusion models. We make this idea more concrete by introducing hyperschedules, allowing different token positions to get different noise levels.

Unifying Autoregressive and Diffusion-Based Language Models

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. In this presentation, Pierre-André Noël will show that, if you squint hard enough, autoregressive language models are a special case of diffusion models. We make this idea more concrete by introducing hyperschedules, allowing different token positions to get different noise levels.