Systems | Development | Analytics | API | Testing

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.

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.

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.

The AI revolutionized coding, but software testing hasn’t caught up. Until now. Meet BearQ: QA built for the age of AI. BearQ introduces a new paradigm of autonomous, agentic quality assurance. Instead of static scripts and brittle frameworks, BearQ’s specialized AI agents – the QA Lead Agent, Tester Agent, and Explorer Agent – work continuously to: Testing was a static checkpoint. Now it’s a living, learning system that ensures application integrity.

Agent-powered code generation is happening at unprecedented speed, creating a growing gap between development velocity and your ability to validate what's being built. This leaves organizations unsure if their applications are doing what's intended or missing what's required. That's why SmartBear delivers application integrity for the AI era – ensuring continuous, measurable assurance that your software just works as intended, with governance to operate at AI speed and scale.

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.

Cloud computing promised efficiency, scalability, and reliability. But as AI workloads grow more complex, many enterprises are learning the hard way that these promises don’t come automatically. In this episode of The AI Forecast, Paul Muller sits down with Linthicum Research founder David Linthicum to talk through the real state of hybrid cloud strategy and enterprise architecture in the age of cloud computing and AI.

Balancing modernization and legacy code can be a challenge for web developers. In this video, we dive into managing time as a web developer during an enterprise PHP upgrade, exploring the hidden time costs of refactoring, training, and debugging. Learn how to navigate these challenges while maintaining team velocity and tackling cognitive load.

Modernizing enterprise PHP applications can be tricky without the right approach. In this video, we share essential PHP tips and PHP best practices to ensure smooth business continuation during modernization. Learn how to balance legacy support, avoid understaffed teams, and hit your milestones without stumbling into unexpected expenses.

Discover the hidden costs of poor documentation and divergent patterns in PHP development. In this video, we explore the importance of thorough PHP documentation and how following PHP best practices can prevent knowledge gaps, reduce rework, and streamline modernization efforts. Don't let tribal knowledge hold your projects back.