Operations | Monitoring | ITSM | DevOps | Cloud

Watch to explore how to ensure data security and privacy in AI applications that employ Large Language Models (LLMs). As generative AI becomes increasingly vital for enterprises – especially in applications such as chatbots utilizing Retrieval-Augmented Generation (RAG) systems – ensuring the security and confidentiality of data within these frameworks is essential. During this webinar: We will introduce confidential computing as a method for safeguarding data, with a specific focus on its application within RAG systems for securing data during usage or processing;

When performing machine learning tasks in the cloud, enterprises understandably have concerns about the potential compromise of their sensitive data privacy as well as their model’s intellectual property. Additionally, stringent industry regulations often prohibit the sharing of such data. This makes it difficult, or outright impossible, to utilise large amounts of valuable private data, limiting the true potential of AI across crucial domains.

If you want to ensure that your infrastructure is resilient by modern standards, you need to have a deep understanding of how processes and technology impact your business. Learn how Virtana unlocks unmatched insights into your infrastructure through our Virtana AI Platform for deep hybrid infrastructure observability, to give you the deep understanding you need for a resilient infrastructure.

Learn how Lumigo created an ai Copilo from an idea into an expert AI-powered observability problem-solver. We'll discuss our early challenges and how we overcame them. Get an insider's look at the systematic improvements we applied, from guiding the model like a junior developer to setting up an evaluation pipeline that allowed us to monitor and scale effectively.

We’re helping you ship high-quality code with updates that go beyond code coverage—like Bundle Analysis, Test Analytics, AI PR Review, and AI Test Generation.

NOBODY PANIC! The Elastic AI assistant’s got you! Transform problem identification and resolution, and eliminate manual data chasing across silos with an interactive assistant that delivers context-aware information for SREs. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Can AI generate good Playwright code? Join Stefan as he explores AI-driven Playwright scripting, using tools like the language models ChatGPT and Claude. Watch as he demonstrates the capabilities of Playwright's 'codegen' command and pits it against AI-generated test scripts. Despite initial skepticism, the results from AI were surprising!

We just introduced a number of updates that intelligently group new issues, reducing noise by about 40% and automatically suggesting fixes to annoying bugs you shouldn’t have to think about.

Meet Zia, our own AI-powered virtual assistant designed to improve your service desk efficiency by automating routine tasks in the on-premises version of ServiceDesk Plus. From predicting ticket categories, templates, or approval actions, to automating request closures, Zia (once trained on your past ticket data) can do it all—freeing up valuable time for you and your IT service desk team. Set up the Zia Bot to be the go-to conversational assistant for end users and customize its actions to help users create tickets, request for services, or access self-service articles, reducing the L1 footprint.

In today’s fast-paced, cloud-native environment, managing logs can be a real challenge. Traditional tools struggle to keep up, making it difficult to find the root cause of issues when every second counts. Logz.io’s new AI-powered log management and analytics solution is here to change that.

In this Civo Navigate 2024 session, Engin Diri shares his unexpected journey into managing Open-Source Large Language Models (LLMs) in a cloud infrastructure setting. Discover the three key strategies he proposed to clients, weighing the pros and cons of each approach. Engin also addresses the challenges faced along the way and the solutions implemented to overcome them.

On This Month in Datadog, we’re spotlighting LLM Observability’s native integration with Google Gemini, which automatically captures the LLM requests your application makes to Gemini models.