#shorts Open source AI solutions
AI is rapidly evolving, impacting every sector from entertainment to space tech.🌟 Canonical is your ally for open source AI and MLOps tools. Explore our solutions for Kubeflow, MLflow, Spark and more.
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The Place Where Modern Operations & Technology Come Together
AI-Assisted Network Monitoring: Real or Hype?
Networking experts Chris O'Brien and Nina Bargisen join Capacity Media's Jack Allen to explore the evolving role of AI in network monitoring. They delve into historical applications of AI and machine learning in network observability, the integration of large language models for enhanced troubleshooting, and the significance of diverse data sources. The session includes a live demonstration of the AI-assisted query features of Kentik NMS (Network Monitoring System) and highlightings the advantages of streaming telemetry over SNMP. There's also an insightful Q&A session at the end.
Harnessing the power of AI in uptime monitoring for predictive analysis
In the digital age, uptime monitoring has become a cornerstone of business operations, ensuring websites and servers are always accessible to users. It's not just about keeping the lights on; it's about preserving reputation, ensuring customer satisfaction, and minimizing revenue loss. Enter Artificial Intelligence (AI), a game-changer in the way we approach uptime monitoring.
Why spec sheets for AI products are a grey area
In this snippet, Rob explains why product spec sheets for AI builds are very different from everyday projects.
The Debrief: AI can help you never forget incident follow-up actions again
Noting follow-up actions is really important at the end of the incident response process. The problem is that it can be really easy to overlook certain actions or forget to do them entirely. With Suggested Follow-ups, this is now a thing of the past. In this episode, you'll hear from Rob, the project lead for our latest Suggested Follow-ups feature, to get a peek behind the curtain.
Bridging The Gap: The Marketing Hype vs. The Reality of AI in IT
Let's cut through the AI fantasy. You've read the headlines: artificial intelligence is the new electricity, the magic wand transforming businesses overnight. But in my experience working with many clients with InvGate, I've gained some valuable insights. Turns out it’s not all smoke and mirrors. Let's dive into the real story of AI in business, far from the echo chamber of Silicon Valley buzzwords and closer to the tangible reality of everyday corporate life.
Advancing MLOps with JFrog and Qwak
Modern AI applications are having a dramatic impact on our industry, but there are still certain hurdles when it comes to bringing ML models to production. The process of building ML models is so complex and time-intensive that many data scientists still struggle to turn concepts into production-ready models. Bridging the gap between MLOps and DevSecOps workflows is key to streamlining this process.
A Beginner's Guide to Large Language Models
In our ongoing series of blogs “Unravelling the AI mystery” Digitate continues to explore advances in AI and our experiences in turning AI and GenAI theory into practice. The blogs are intended to enlighten you as well as provide perspective into how Digitate solutions are built.
Episode 2 | Micah Wheat on Cloud Cost Management in the Age of AI
In this episode, the hosts discuss cloud cost management with guest Micah Wheat, co-founder of Dashdive. They explore the formation of Dashdive and the changes in the market that have made cloud cost management more important. They also discuss the use of arbitraging tools and the challenges of amortizing costs and pricing models. The conversation covers the differences between cloud cost observability and cloud cost management and the importance of granularity in cost attribution.
Ubuntu AI Podcast | Launch of 2nd series
Season 2 of Ubuntu AI podcast is here! After a start with great guests and great feedback from our listeners, we are ready to kickstart a new series of episodes. We will continue talking about AI and open source, focusing mostly on the machine learning lifecycle, AI on public cloud, AI at the edge and the security angle of the AI projects. This time around, we will periodically invite contributors to open source projects from the AI space to join us.