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AI

NetOps Expert ep 12: AI/ML and NetOps - A Conversation with EMA

In this episode, I talk to Shamus McGillicuddy, VP of Research at EMA about how IT organizations are improving network management with intelligent systems based on artificial intelligence (AI) and machine learning (ML). Sometimes known as AIOps, these AI/ML technologies are helping organizations optimize their networks, streamline operations, and reduce security risk. We break down his research and get to real use cases that network teams can utilize today.

AI Pipeline: Surfing from Concept to Product Reality - SolarWinds TechPod 084

In this conversation, hosts Sean Sebring and Chrystal Taylor talk with Derek Daly, Principal AIOps Product Manager at SolarWinds. He discusses his career journey and the role of AI and machine learning in the company's products. He shares insights into the process of introducing AI and machine learning into product features, the impact of AI on jobs, and the considerations for on-premises vs cloud deployment.

Using AI-Powered Functional Testing Tools for Faster QA Automation Testing

Software automation testing has changed dramatically in the last several years, with an obvious trend toward automated testing techniques. Although manual testing processes are still an essential part of the testing process, test automation adoption has become more and more important in many situations. The fact that an astounding 97% of application testers have already included automated testing into their processes serves as evidence of this evolution. Developers are using AI-powered functional testing solutions to speed up QA automation testing procedures as they realize how important this trend is.

How to Make the Most of Your Salesforce Value: What to Try to Implement

Nowadays, leading a business means having to do with customer data a lot. Since Salesforce is one of the main on-cloud CRM platforms out there, and chances are that you have already used it and continue to build customer relationships through it, there is huge potential in the system. Uncovering this potential is a part of success, so get ready to collect some new tips on how to better support clients, sell, market, connect with partners, and more.

Large Language Models (LLMs) Retrieval Augmented Generation (RAG) using Charmed OpenSearch

Large Language Models (LLMs) fall under the category of Generative AI (GenAI), an artificial intelligence type that produces content based on user-defined context. These models undergo training using an extensive dataset composed of trillions of combinations of words from natural language, enabling them to empower interactive and conversational applications across various scenarios.

Merging to Main #8: Ethics & AI with Paul O'Reilly & Dan Garfield, Codefresh

🚨 Merging to Main is back with a new host! 🚨 Let's welcome Paul O'Reilly 🎉 and follow along on his journey of exploring topics around Tech, DevOps, AI, Argo and others, with all sorts of awesome people from all around the globe! 🌎 During this session we have Codefresh's Chief Open Source Officer, Dan Garfield joining Paul live to talk about all things Ethics & AI.

Machine learning vs. AI: Understanding the differences

For a long time, AI was almost exclusively the plaything of science fiction writers, where humans push technology too far, to the point it comes alive and — as Hollywood would have us believe — starts to wreak havoc. Cheery stuff! However, in recent years, we’ve seen an explosion of AI and machine learning technology that, so far, has shown us a fun side with people using AI for creating, planning, and ideating in a big way.