Causely, a provider of an observability platform based on causal artificial intelligence (AI) models, today revealed it is now adding support for open source Grafana dashboards. Announced at the GrafanaCon 2025 conference, this integration provides DevOps teams with an ability to surface root cause analysis within dashboards that are already widely used by many IT […]
New Relic Adds Ability to Monitor AI Models to APM Platform
New Relic is extending its APM platform to make it simpler to monitor the behavior of AI models within the context of an application.
JFrog Extends DevOps Reach to Manage and Secure AI Models
JFrog added additional security capabilities to its CI/CD environment and made it possible to manage ML models within a DevOps workflow.
OpenAI to go Open Source — Elon Musk was a ‘Huge Idiot’ ¦ Mojo Risin’
In this week’s #TheLongView: Sources say it’s an open source future for OpenAI, and improving AI perf with Mojo.
Why MLOps Hurts: 3 Pain Points for DevOps Teams
Machine learning operations (MLOps) is a practice that aims to improve the collaboration and communication between data scientists and IT professionals in the development, deployment and maintenance of machine learning models. MLOps aims to streamline the process of building, testing and deploying machine learning models by automating and standardizing the various tasks involved. This includes […]
Stable Diffusion Goes Public — and the Internet Freaks Out
This week: A Stable Diffusion special. Unless you’ve been living under a rock for the past week, you’ll have seen something about the new open source machine learning model for creating images.
Top 3 Requirements for Next-Gen ML Tools
As the machine learning market matures, new tools are evolving that better match data science and machine learning teams’ needs. Vendors, both open source and private, have been quick to introduce new products that better meet requirements making it easier and faster to develop models and enable collaboration. These new offerings range from cloud-based platforms […]
Computer Vision is Building the Future
Developing an accurate, regulated and purpose-driven facial recognition software is the challenge of computer vision engineering. It is also the future of how people do their everyday tasks: from unlocking a phone to signing into a bank app or logging the time they get to the office. Facial recognition amazes more and more with its […]
With Platform, Dotscience Applies DevOps to AI
Dotscience today launched a namesake platform for building and deploying artificial intelligence (AI) models based on a set of best DevOps practices. Company CEO Luke Marsden said that as organizations realize that AI models need to be trained and updated continuously, the need for a DevOps platform that accelerates that process will become more apparent. […]
IBM Advances DevOps for AI Applications
IBM today made its first foray into applying DevOps methodologies to building artificial intelligence (AI) applications. Announced at the IBM Think 2018 conference, the latest IBM tools and services for building AI applications include a Deep Learning as a Service capability that has been embedded with IBM Watson Studio development tools and Watson Data Kits […]