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.

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.

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.

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.

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.

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.

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.

Edge AI is transforming the way that devices interact with data centres, challenging organisations to stay up to speed with the latest innovations. From AI-powered healthcare instruments to autonomous vehicles, there are plenty of use cases that benefit from artificial intelligence on edge computing. This blog will dive into the topic, capturing key considerations when starting an edge AI project, main benefits, challenges and how open source fits into the picture.