In 2014, the Mazia (Matsch) research site in the Italian Alps was officially accepted as a Long Term Socio Ecological Research LT(S)ER site. The monitoring infrastructure is operated by Eurac Research and the University of Bolzano and consists of 24 automatic microclimatic stations in a mountain ecosystem across an elevation gradient ranging from 1,000 m to 2,700 m, logging several meteorological and biophysical variables every 15 minutes.

One of the best ways to stay current in the fast-evolving field of artificial intelligence and machine learning is by following thought leaders, evangelists, and influencers in the industry. In this article, we’ve selected 10 of the most influential thought leaders (listed alphabetically) that are helping drive the field forward.

Modern IT & DevOps teams face increasingly complex environments — making it harder to quickly detect and resolve critical issues in real-time. To overcome this challenge, Splunk users can take advantage of ML-powered IT monitoring and DevOps solutions available in a scalable platform with state-of-the-art data analytics and AI/ML capabilities. In this blog, we deploy Splunk’s built-in Streaming ML algorithms to detect anomalous patterns in error logs in real-time.

With the holidays upon us around the world, some folks here at Sysdig decided to take a technological approach to holiday cooking. How, you ask? By adding a little PromQL to the mix. A home kitchen during the holidays can be a very frenetic place. There are often many, many dishes being prepared at the same time and cooked in sequence. Some are short and easy, others can take several hours. It’s inevitable that a dish will get missed, or a step forgotten.

AI and analytics are playing critical roles in driving innovation among many businesses riding the digital transformation wave during this pandemic. Many business leaders realize that people are not wired to think exponentially, but incrementally in a linear world, unable to see the ripple effects of their actions. The pandemic has highlighted the enormous impact this has on the quality of decisions made, especially in the context of business.

It is with great excitement that we announce our first-ever supervised ML and security integration! Today, we are releasing a supervised ML solution package to detect domain generation algorithm (DGA) activity in your network data. In addition to a fully trained detection model, our release contains ingest pipeline configurations, anomaly detection jobs, and detection rules that will make your journey from setup to DGA detection smooth and easy.

We here at Robin.io are getting set to put a bow on what’s been as unpredictable and challenging a year as any of us can ever remember. In spite of lots of anxiety, oft-interrupted video calls, and a slew of new rules for doing business, Robin ends 2020 having accomplished a number of its goals for the year. It has taken flexibility, dedication and cooperation on the part of every Robin employee, partner and customer for us to be in such a strong position entering the new year.

API tests are key to ensuring your applications receive and respond to requests efficiently. For example, a slow API endpoint or an unexpected timeout in processing a request can significantly affect user experience, so API tests can help you monitor the performance of your endpoints and the overall health of your applications.