Operations | Monitoring | ITSM | DevOps | Cloud

I'll have my AI agent call your AI agent: Battle for your digital hub

On this episode of Masters of Data, we unpack what it actually means to expect AI to be the primary interface for everything we do. We dig into the pull toward centralizing work in a single hub like Claude versus staying spread across specialized tools like Slack, Asana and Zoom, and where the line sits between helpful automation and letting an agent speak on your behalf. We also get into the "chief of staff" agent workflow for daily roundups and why specialized, best-of-breed tools aren't going anywhere, even as hubs get smarter.

Called it (mostly): Checking in on 2026 predictions so far

On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.

Eight best practices for a successful cloud migration strategy

Moving to the cloud is one of the most consequential decisions an IT organization makes. A successful cloud migration strategy sets the foundation for how your business scales, innovates, and competes. But too often, cloud migration initiatives stall, underperform, or force organizations to repatriate applications back on-premises because the groundwork wasn’t laid correctly.

Balance AI innovation and governance with Sumo Logic AI and ML apps

AI is changing how teams work. Developers are generating code faster, security teams are automating investigations, and employees across the business are using AI tools to accelerate research, content creation, and decision-making. But this adoption comes with a catch. As usage explodes, it introduces a new set of security risks: a rapidly expanding attack surface, faster attack timelines, potential data exposure, and an alarming lack of visibility into how these tools are being used.

Meet the new Mobot: Your log analysis partner

Every single day, the Sumo Logic Platform analyzes more than four exabytes of log data. The good news? The answers to your application performance, infrastructure health, and security incidents are hidden in those logs. The challenge? Historically, uncovering those answers required query language fluency. That’s why we built Mobot, our conversational interface that connects users to advanced AI capabilities using natural language.

Action trails: The missing link between AI and human trust

When people talk about trusting AI, they usually focus on the interface. It summarizes and uses confident language with a level of clarity that feels reliable. But that’s all window dressing. None of it builds trust. Trust doesn’t come from what the AI says. A verifiable record of what the AI did makes it trustworthy.