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The Microsoft Ignite 2023 event held in November highlighted a range of new additions to the Microsoft Azure portfolio, focusing on artificial intelligence, application development, and developer tools. Discover how Azure empowers customers and partners to make the most of their current investments, save time, and drive innovation on a trusted platform.
This year's Microsoft Ignite 2023 in Seattle was a significant event in the company's history. It truly made a mark with more than 100 announcements covering topics like cloud infrastructure, Microsoft Copilot, the correlation between data and AI, new developer tools, and security enhancements.
Let's dive into some noteworthy Azure AI, data, and application innovations unveiled at Ignite that will help your customers accelerate in the era of AI.
Unlock Generative AI to Drive Transformation
To drive the transformative power of generative AI forward, Azure is leading the way by continuously advancing its AI infrastructure. Each new feature and integration bring us closer to a more interconnected, efficient, and robust ecosystem fueled by AI-driven technologies that enable customers to unlock limitless innovation with Azure.
· Azure AI Studio is now available in public preview. It’s a state-of-the-art platform designed to streamline the development of generative AI applications. By harnessing OpenAI models like GPT4 and a wide range of cutting-edge models and services, all consolidated in a single space, users can quickly build, evaluate, and deploy their innovative AI solutions.
· Azure AI Content Safety consists of text and image APIs that enable users to identify harmful content created by users and AI in various applications and services.
· DALL-E 3 is the latest image generation model in Azure OpenAI Service preview. It provides enhanced image quality, supports more complex scenes, performs better when rendering text in images, and offers additional aspect ratio options.
· Azure AI Search is an advanced information retrieval platform powered by AI. It enables developers to create sophisticated search experiences and generative AI applications that leverage large language models (LLMs) and enterprise data.
· Prompt Flow is now generally available in Azure Machine Learning and public preview in Azure AI Studio. It empowers engineers and data scientists to build, test, and fine-tune high-quality generative AI applications.
· Model as a Service presents an attractive, easy-start option for generative AI projects. It simplifies the process for developers, especially during the dev-test phase, by eliminating the need for dedicated VMs for hosting models.
Application Innovation for Building and Modernizing AI Applications
The Azure team has been working diligently to make Azure the leading platform for running Kubernetes and a truly Kubernetes-powered cloud that meets the evolving needs of AI. This benefits customers who are just starting and those who are more advanced.
· AI Toolchain Operator, currently available in preview, simplifies self-hosting and running specialized AI workloads like LLMs for AKS customers in a cost-effective way.
· Azure Kubernetes Fleet Manager enables seamless management of multiple AKS clusters on a larger scale with just a few clicks.
· Azure Container Apps offers dedicated GPU workload profiles in preview and add-ons for three popular open-source vector databases. This empowers developers to quickly explore innovative use cases before moving into production.
The Right Experiences to Increase Developer Productivity
To boost the efficiency of developers and facilitate digital transformation, it’s essential to equip them with state-of-the-art tools that optimize creativity and effectiveness. With these recent additions, Azure empowers developers to do what they do best: create. These additions include:
· .NET 8 marks a significant milestone in enterprise development, delivering improved performance and productivity for ASP.NET and existing.NET developers. It also sets the stage for future cloud-native innovations.
· GitHub Copilot Chat powered by GPT-4 is an AI-powered assistant designed to aid developers in making informed decisions and writing high-quality code.
· GitHub Advanced Security with AI is now available for preview. Based on LLM technology, this vulnerability prevention system empowers developers, security, and operations teams to prioritize innovation while enhancing security and productivity.
We are entering a new era of AI advancements. Stay updated on the latest Azure developments announced at Ignite by reading the blog post by Jessica Hawk, CVP data, AI, digital and application innovation. Watch the best-of the Microsoft Ignite event on-demand.