Operations | Monitoring | ITSM | DevOps | Cloud

grafana

Identify anomalies, outlier detection, forecasting: How Grafana Cloud uses AI/ML to make observability easier

Jul 2, 2024 By Michelle Tan In Grafana
At Grafana Labs, our No. 1 approach when building AI/ML tools is to enable humans (a.k.a. all of us!) to understand complex systems. In other words, we want to make observability still human, but less complicated. (Our second use case? Making social media more fun.) We believe that AI/ML tools in observability should work towards minimizing toil and the need for everyone in your organization to have the same deep domain knowledge about your increasingly complex stack.
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taloflow

Handling LLM Hallucinations: Taking Your LLM Features From Prototype to Production

Jul 2, 2024 By Taloflow In Taloflow
This is a vendor guest post authored by the team at Lytix. Lytix being discussed on this blog is not an endorsement by Taloflow or an approval by Taloflow of any of the content contained herein. Taloflow is not compensated for this vendor guest post in any way and presents this post for purely informational purposes and the benefit of site users.
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rootly

How Meta and Google use AI to improve incident response

Jul 2, 2024 By JJ Tang In Rootly
The world population in 2024 is approximately 8.12 billion people. Of these, 4.3 billion people use Google regularly, while 3.74 billion are active users on Meta's platforms. Any disturbance involving these tech giants will surely make headlines, as seen in the recent Google’s Unisuper incident. The scale of these tech companies brings fascinating challenges in every aspect of their operations, including incident response.
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opsmatters

AI Tools for Business and Marketing: Your Unseen Team

Jul 2, 2024 By OpsMatters In OpsMatters
In the fast-paced, ever-changing world of business and marketing, standing still is not an option. You need to adapt, innovate, and stay ahead of the curve. And that's where Artificial Intelligence, or simply AI, comes in. AI tools are not just another item in your toolkit. They're must-have game-changers, revolutionizing the way businesses operate and market their products. So let's take a look at 10 tools for your content production that provide invaluable aid.
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qovery

How Qovery Uses AI To Empower Developers

Jul 1, 2024 By Romaric Philogène In Qovery
We're in 2024, and one thing has become clear: the future belongs to those who can harness the power of artificial intelligence (AI). At Qovery, we are at the forefront of this transformation, integrating AI into our internal developer platform to revolutionize how developers manage their application lifecycles. Our mission is to empower developers with autonomy, efficiency, and deep insights, ensuring they can focus on what they do best — building great software.
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Incident.io

Using AI to understand what sets incident.io apart from the competition

Jun 30, 2024 By Chris Evans In Incident.io
Whenever a new customer joins incident.io, we make notes on what made them chose to buy our product and, if we were in a competitive process, why they chose us over other providers they were evaluating. It’s a lot of messy data and raw notes, but contained within is a veritable treasure trove of customer feedback. Summarising large amounts of data? Sounds like the perfect job for an LLM.
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Real World Deployment of Azure Open AI with AI Central

Jun 30, 2024 By 2bcloud In 2bcloud
Join us for an in-depth, guided demo on deploying Azure Open AI in real-world scenarios using AI Central. This webinar, a collaboration between Microsoft and 2bcloud, is tailored for DevOps engineers and will cover key implementation strategies. Learn how to effectively manage, monitor, and optimize your AI endpoints with practical examples and live demonstrations. Discover how to address common challenges and leverage AI Central for seamless, intelligent application management. Don't miss this opportunity to enhance your Azure Open AI deployment skills.
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virtana

The Five Challenges to Monitoring AI Data Fabric

Jun 28, 2024 By Shridhar Venkatraman In Virtana
As AI continues to evolve, it brings about a paradigm shift in how businesses handle data. The AI data fabric, a critical component of this transformation, acts as a cohesive layer that integrates data from various sources, facilitating seamless data access and management. However, monitoring this intricate system presents a unique set of challenges for business and IT leaders. Understanding these challenges is paramount to leveraging the full potential of AI data fabrics. Want to learn more?
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Logic Apps and AI - The Future of Integration

Jun 28, 2024 By Turbo360 In Turbo360
In the first episode of the series "INTEGRATE expert voices - Unplugged" Kent Weare from Logic Apps team at Microsoft, discusses AI integration in Logic Apps. He highlights democratization of tech, AI's rapid evolution in integration, and potential for automating processes. Discover the potential of prompt-based integration, AI-driven data transformation, and how Logic Apps is leading this technological shift. Get insights on embracing AI in your organization and staying competitive to drive business value in the evolving Integration landscape.
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SolarWinds Day | AI: Friend or Foe?

Jun 28, 2024 By SolarWinds In SolarWinds
We have entered the age of artificial intelligence. AI and machine learning promise to transform numerous domains in the coming years. And while there are plenty of reasons to be excited, no shift this significant comes without potential pitfalls. Understanding these challenges begins with an open dialogue. This SolarWinds Day, we’re scouting ahead to map the future of AI in IT. In fireside chats with industry leaders, we’ll explore strategies for optimizing how your organization uses AI and identify the risks of this new technology—before they impact your organization.
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