Enterprises are deploying autonomous agents to carry out complex, multi-step tasks across applications, databases and operational systems. This ability to act across systems can automate substantial ...

Across marketing, AI is moving away from being just a tool that assists and is instead becoming an agent that acts, helping teams diagnose performance, decide what to do next and run while campaigns ...

Expedition 2026 will welcome builders and business leaders for three days of hands-on training and programming, emphasizing how AI creation now spans every line of business Expanding AI and Data ...

Enterprise-wide collaboration deepens joint go-to-market activity and connects LSEG’s financial intelligence with Snowflake’s AI Data Cloud to deliver governed AI across the world’s most regulated ...

Sol and Luna give teams two new model choices for development, analysis, and agentic work within Snowflake's governed environment. Use Sol when a task needs deeper reasoning across several steps, and ...

MENLO PARK, Calif. - September 28, 2026 - Snowflake Inc. (NYSE: SNOW) (“Snowflake”), the AI Data Cloud Company, today announced that it intends to offer, subject to market conditions and other factors ...

Every enterprise executive faces the same fundamental tension when deploying AI: how to give teams the freedom to innovate while ensuring a single runaway process doesn't result in a five-figure AI ...

Terminal-Bench Science 0.1 Scientific research workflows using code and terminal tools 64.6% 22.4% Terminal-Bench 4.0 Complex terminal-based software engineering and data analysis 57.9% 37.3% Agents' ...

Even with numerous advances in enterprise applications, accounts payable (AP) processes still have stubbornly manual workflows in the enterprise. Invoices arrive in different layouts, languages and ...

Data engineering is a hard job — waking up to failed runs that take hours to investigate, addressing a constant backlog of asks and needs from business teams, and answering to finance teams that want ...

AI agents are no longer just answering questions — they are taking actions. Across engineering, sales and operations teams, agents are reading databases, triggering cloud workflows, modifying CRM ...

Intelligence efficiency measures how effectively a company turns compute, models, data and context into business impact. The right metric is cost per outcome you can trust, not cost per attempt.