Operations | Monitoring | ITSM | DevOps | Cloud

AI

Graylog Parsing Rules and AI Oh My!

In the log aggregation game, the biggest difficulty you face can be setting up parsing rules for your logs. To qualify this statement: simply getting log files into Graylog is easy. Graylog also has out-of-the-box parsing of a wide variety of common log sources, so if your logs fall into one of the many categories of log for which there is either a dedicated Input; a dedicated Illuminate component; or that uses a defined Syslog format; then yes, parsing logs is also easy.

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.

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.

Accelerating Continuous Improvement with MES Data Analytics

As global competition and consumer demand intensify, manufacturers face immense pressure to optimize complex workflows. An emerging solution helping manufacturers thrive is deploying Manufacturing Execution Systems (MES). These digital systems deliver unparalleled visibility and control over manufacturing processes, acting as a catalyst for continuous improvement.
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AlmaAI - Comprehensive Analysis and Recommendations

AlmaAI®, the family name for the AI features within the Almaden Collective IQ® Business Edition, represents a sophisticated approach to problem analysis and resolution. Driven by cutting-edge technology, such as generative AI, AlmaAI harnesses the power of computer intelligence to detect issue patterns and suggest recommendations for correction. It also helps organize IT priorities to address reported and unreported problems, as well as anticipate needs.

LangChain tutorial: A guide to building LLM-powered applications

Large language models (LLMs) like GPT-4 and LLaMA have created a whole world of possibilities over the past couple of years. It’s heralded a boom in AI tools and applications, and ChatGPT has become a household name seemingly overnight. But this boom wouldn’t be possible without the powerful tools and frameworks created to facilitate this new generation of apps. One of these frameworks is LangChain, which makes it easy to build new apps using existing LLMs.

7 Ways to Use AI to Help Improve Operations at an E-commerce Store

Artificial Intelligence (AI) is here to stay. If you run an E-commerce store, you might be wondering how you can leverage it to streamline business operations and make your efforts more effective. Let's take a closer look at seven ways to use AI to improve the operations of your E-commerce store.

Achieving AI development at scale ft. Luis Ceze of OctoAI

In this episode, Rob is joined by Luis Ceze, CEO of OctoAI and a distinguished professor of computer science at the University of Washington. Together, they unpack the surge of interest in AI, attributing it to the convergence of factors like the unprecedented availability of data thanks to the internet boom and the accessibility of powerful computing resources.