Operations | Monitoring | ITSM | DevOps | Cloud

super monitoring

5 AI-Driven Tools That Can Improve Content Quality

Mar 27, 2024 By Super Monitoring In Super Monitoring
Any concerns you had before clicking on this article about artificial intelligence (AI) generated content should be immediately dispelled. There were some noticeable concerns among writers about AI-generated content not being good enough. At the start, I despised using AI for the longest time and refrained from using it as I considered it an insult to my intelligence and skills. That was before I started using AI tools on a colleague’s request for the first time around two months ago.
Read Post

The Impact of AI on Cybersecurity

Mar 27, 2024 By Flowmon In Flowmon
Explore the fusion of Artificial Intelligence (AI) and cybersecurity, unlocking the secrets behind AI’s transformative influence in digital asset protection, during our exclusive webinar, “Enhance Your Cybersecurity by Harnessing the Power of AI.” Our product expert will discuss the wide-reaching impact of AI and teach attendees how to navigate dynamic cybersecurity trends and the ever-evolving threat landscape.
View Video
ScienceLogic

Steps to Taming Hybrid Cloud Complexity: Eliminating Visibility Gaps & Enabling Actionable AI-Powered Insights

Mar 26, 2024 By Lee Koepping In ScienceLogic
For years “the move to the cloud” implied a singular event – a singular migration to a singular entity. It all sounded so simple. Yet, the “simple” act of moving to the cloud stands in stark contrast to the reality of today’s complex, hybrid IT estates where the overwhelming volume of data flows can make it challenging for IT teams to effectively pinpoint and rectify service incidents.
Read Post

Ubuntu AI | S2E4 | AI on public cloud: what should you know?

Mar 26, 2024 By Canonical In Canonical
Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalability, and the ability to utilise existing infrastructure already in place on both hybrid clouds and public clouds. Join us to talk more about AI on the public cloud: what are the main benefits and what are the best practices an organisation could implement in order to easier adopt AI and leverage the most the public clouds.
View Video
splunk

Continual Learning in AI: How It Works & Why AI Needs It

Mar 26, 2024 By Muhammad Raza In Splunk
Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.
Read Post
opsmatters

How Computer Vision is Revolutionizing Industries

Mar 26, 2024 By OpsMatters In OpsMatters
Computer vision is a field of artificial intelligence that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs - and take actions or make recommendations based on that information. At a high level, computer vision involves processing visual data using algorithms and deep learning models to mimic human vision. The computer analyzes patterns and features in visual data to identify objects, faces, scenes, and actions.
Read Post
Aiven

Max Pagel, SensorFlow: Amplifying Advancement with AI

Mar 25, 2024 By Florian Engel In Aiven
SensorFlow’s Co-Founder and CTO on using technology to do more with less and why the platform approach will always win Like many entrepreneurs, Pagel’s step into business was borne out of a desire to do things differently. His founder journey began in 2016 in Singapore — a place he still calls home today. While working as a research associate at a university, he became frustrated with the science ecosystem and how it all worked.
Read Post
circleci

From MLOps to LLMOps: The evolution of automation for AI-powered applications

Mar 25, 2024 By Jacob Schmitt In CircleCI
Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.