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Using AI and Automation to Enrich the Employee Service Experience

Artificial Intelligence (AI) is increasingly becoming integral in the tech landscape, transforming virtual assistants and self-remediating software to enhance user experiences and propel IT automation in the workplace. Most of the tech workforce embraces AI, recognizing the potential advancements and business improvements it brings. In the workplace, smart technology aims to support and elevate the employee experience, not to replace human workers.

Preview Confidential AI with Ubuntu Confidential VMs and Nvidia H100 GPUs on Microsoft Azure

With Ubuntu confidential AI on Azure, businesses can undertake various tasks including ML training, inference, confidential multi-party data analytics, and federated learning with confidence. The effectiveness of AI models depends heavily on having access to large amounts of good quality data. While using publicly available datasets has its place, for tasks like medical diagnosis or financial risk assessment, we need access to private data during both training and inference.

5 AI search trends impacting developers in 2024

After an incredibly fast-moving 2023, what does the future hold for AI and search? Conversational generative AI leapt into the public consciousness over the past year, and organizations scrambled to define their strategy for capitalizing on the trend. AI-boosted relevance is reshaping the way users experience search — and elevating their expectations for the quality of the interaction.

Avoiding the Data Roach Motel with Open Source

It's your data. You should be able to do whatever you want with it. However, vendor lock-in can trap your data in a single solution, making it extremely difficult to switch to something that better meets your needs. When your data goes in, but doesn't come out—that's a data roach motel. Open source technologies, and solutions built with open source tools, enable organizations to take control of their data, giving them the freedom to put it into and take it out of whatever databases or solutions they see fit.

The Role of Artificial Intelligence (AI) in Digital Transformation

In today's fast-paced digital landscape, it's not enough for companies to merely adapt to change; they must lead the way in embracing transformative technologies because it’s the only way to grow and stay competitive. In this blog, we'll explore how the fusion of digital transformation and AI transformation is shaping business environments around us.

Goliath's Use of AI Puts an Extra Citrix Expert In-House

AI has been the talk of the day ever since the breakthrough of ChatGPT with a large generative language model. More and more companies are also adding AI capabilities into their products, but this is often just a marketing trick to tag on AI to show a new feature that isn’t really AI. Goliath Technologies is handling AI very differently. They are introducing KIP, a virtual AI troubleshooting assistant for Citrix end user experience monitoring.

Three Properties of Data to Make LLMs Awesome

This post first appeared on Phillip's personal blog. Back in May 2023, I helped launch my first bona fide feature that uses LLMs in production. It was difficult in lots of different ways, but one thing I didn’t elaborate on in several blog posts was how lucky I was to have a coherent way to get the data I needed to make the feature useful for users.

The Debrief: How we built a "game changing" AI assistant feature

Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product. You'll hear him chat about.

Generative AI in Observability: A Trip or a Trap?

Generative AI or Generative Artificial Intelligence, in its simplest form, means being capable of generating text, images, or any data using generative models, mostly in response to prompts. You would have all heard of OpenAI’s ChatGPT. It is generative AI in action. Essentially, What do you do in ChatGPT? You type in a topic or a question, and the robot replies with structured answers.