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ClearML Introduces Floating NVIDIA AI Enterprise License Management with One-click NVIDIA NIM Deployments

ClearML has announced native floating license management for NVIDIA AI Enterprise licenses with one-click deployment of NVIDIA NIM microservices across AI infrastructure. The feature, available now to ClearML enterprise customers, fundamentally changes how organizations consume NVIDIA AI Enterprise software licenses, moving from a static per-GPU assignment model to a dynamic pool that follows active workloads.

Automate CSV Imports to Salesforce using Integrate io

Learn how to automate CSV data imports into Salesforce using Integrate.io, a powerful no-code ETL and data pipeline platform. If your team manually uploads lead lists, trade show contacts, or partner data via CSV files, this tutorial will show you how to eliminate that repetitive work entirely. In this step-by-step walkthrough, we'll build a complete data pipeline that automatically retrieves a CSV file from an SFTP server, processes and maps the fields, and loads the records directly into Salesforce Leads, all on a scheduled basis with zero manual effort.

Enterprise AI Infrastructure Security Series - 5) Compute & Data Access Governance

Securing ClearML for the Enterprise — Part 5: Compute & Data Access Governance In this video we walk through ClearML's compute governance layer — resource pools, resource profiles, and resource policies — and how they work together to give every team fair, governed access to your GPU infrastructure while keeping it fully utilized. What we cover: Previous videos in this series.

Enterprise AI Infrastructure Security - 4) Service Accounts & Automation Security

Securing ClearML for the Enterprise — Part 4: Service Accounts & Automation Security In this video we walk through ClearML's service accounts — the identities behind your automated workloads — and how impersonation ensures least-privilege execution across your agents, pipelines, and schedulers. What we cover: Previous videos in this series.

Cloudera Agent Studio and NVIDIA Bring Next-Gen Agents to Enterprise AI

Autonomous agents act toward complex goals without requiring human direction at each step. In enterprise environments, deploying these agents introduces a more exacting set of challenges: they must navigate heterogeneous data systems; satisfy compliance, audit, and data sovereignty mandates; and keep all data within the organization's operational boundary.

The End of Busywork: Meet Project SnowWork

Introducing Project SnowWork. An autonomous AI platform that embeds intelligence directly into your business workflows and tools. Project SnowWork brings Snowflake's vision for the agentic enterprise to life, where enterprise data, intelligence, and action are connected in a governed way. Launching in research preview to a limited set of customers, Project SnowWork handles complex, multi-step tasks and delivers real, data-driven outcomes to business users.

Launching Project SnowWork - Bringing Outcome Driven AI to Every Business User

Project SnowWork empowers business teams to automate multi-step workflows end-to-end, and drive real outcomes. Create revenue snapshots, diagnose missed forecasts, and generate summary slides with next steps — all without any coding experience needed.

Real-Time Streaming Data & Insights with Cloudera Data in Motion #Cloudera #AI #Tech #Shorts

Discover how Cloudera Data in Motion captures, processes, and delivers streaming data the moment it is created. Using DataFlow and over 450 connectors, you can enrich data in flight to gain instant insights securely and at scale. Learn how a global financial institution successfully cut costs and improved fraud detection by replacing traditional batch workflows with real-time streams. Ensure your business never stands still by keeping your data always in motion.