AI

Prometheus anomaly detection

With an increase in the number of applications being deployed on Red Hat OpenShift, there is a strong need for application monitoring. A number of these applications are monitored via Prometheus metrics, resulting in an accumulation of a large number of time-series...

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Sentiment analysis with machine learning

When developing a new technology, it really helps if you are also a user of that new tech. This has been an approach of Red Hat around artificial intelligence and machine learning -- develop openly on one hand, exchanging knowledge across the organization to use the...

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Diagnosing apps with AI

A well-known tactic for figuring out how to identify the root cause of a problem that has caused an outage in a production environment is to go back and see what the environment has been doing so far. Through the analysis of logs, developers and operators alike can...

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How Open Data Hub learners become the teachers

The prospect of true machine learning is a tangible goal for data scientists and researchers. It has been long known that the platform on which such ML apps can run have to be fast and hyper efficient so that learning can be that much faster. This is the motivation...

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Machine Learning with Open Source Infrastructure

As machine learning becomes more interesting to technology companies, it is hardly surprising that a company like Red Hat is going to approach the challenges of this aspect of artificial intelligence with an open source methodology in mind. The immediate benefits to...

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Exploring Unsupervised Deep Learning

The concept of artificial intelligence, which seemed so much like science fiction a few decades ago, has made real, practical inroads in producing results that organizations can find useful. What’s making those results happen, though, isn’t esoteric pie-in-the-sky...

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Red Hat’s Open Source AI Vision

Analytics, Machine Learning, and AI represent a fundamental transformation that over the coming decade will affect every aspect of society, business, and industry. It will fundamentally change, how we interact with computers - and how we develop, maintain, and operate...

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Machine Learning as a Service

Experimenting with machine learning algorithms or integrating such techniques into an existing environment often presents challenges, like selecting and deploying the right infrastructure, in addition to having the necessary data science background and skills, etc. In...

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A Hub for Open Data at Mass Open Cloud

Open source software is good. Open source plus open data is even better. That makes initiatives such as the Open Data Hub both useful in and of themselves and as a template for maintaining control over your data. Access to, and the ability to collaboratively build...

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The Future of Storage in Container Space: Part 4

The challenges of maintaining persistent storage in environments that are anything but persistent should not be taken lightly. My recent conversation with Ceph founder Sage Weil certainly made that clear. Thus far, the conversation with Sage has highlighted key areas...

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