azure ai
93 TopicsTech Accelerator: Mastering Azure and AI adoption
Join us to learn about the essential guidance, resources, products and tooling you need to accelerate your next Azure and AI project or enhance your existing Azure deployments. Get in-depth technical guidance from Microsoft experts to enhance the reliability, security and ongoing performance of your Azure workloads. Learn more about AMD products and solutions to accelerate cloud adoption. Browse our exciting two-day agenda. Click on the session names you're interested in for the ability to Add to calendar. Select Attend to let us know you're coming. Tuesday, February 11, 2025 7:30 a.m. PST - Best practices for secure and reliable Azure projects 8:00 a.m. PST - Govern, manage and secure your AI deployments 9:00 a.m. PST - How to run a successful Azure migration project 10:00 a.m. PST - Advance cloud infrastructure: Essentials with AMD on Azure Wednesday, February 12, 2025 7:30 a.m. PST - Essentials to build and modernize AI applications on Azure 8:30 a.m. PST - Proactively design, deploy & monitor resilient Azure workloads 9:30 a.m. PST - Cloud platform security in an evolving threat landscape Don't miss out! Register for the VIP experience to receive event reminders and exclusive post-event content, including access to session presentations.5KViews6likes4CommentsEssentials to build and modernize AI applications on Azure
Need to confidently design AI applications? In this session we’ll explore the prescriptive guidance, resources and tools available within Azure Essentials to help you build and modernize reliable, secure AI applications. We will demo how to get started designing an AI workload using the AI assessment tool from the Azure Well-Architected Framework and then show how to build it using Azure AI Foundry. Select Add to calendar to save the date, then select Attend to let us know you're coming. You can post your questions in advance (now) or at any time during the event. Simply scroll to the bottom of this page and post each question where it says "Leave a comment." This session is part of Tech Accelerator: Mastering Azure and AI adoption. View the full agenda for more great sessions and insights. Want to receive event reminders and exclusive post-event content, including access to session presentations? Register for the VIP experience!413Views2likes2CommentsGovern, manage, and secure your AI deployments
Are you ready to adopt AI at scale? This session will explore the Azure Essentials AI adoption guidance and provide actionable steps and best practices to get your environment AI-ready. We will demo how to make your AI workloads resilient and secure with solutions from Microsoft Defender for Cloud, Azure Purview, and the Azure Proactive Resiliency Library. Select Add to calendar to save the date, then select Attend to let us know you're coming. You can post your questions in advance (now) or at any time during the event. Simply scroll to the bottom of this page and post each question where it says "Leave a comment." This session is part of Tech Accelerator: Mastering Azure and AI adoption. View the full agenda for more great sessions and insights. Want to receive event reminders and exclusive post-event content, including access to session presentations? Register for the VIP experience!441Views3likes2CommentsBest practices for secure and reliable Azure projects
Join us for a conversation with senior Microsoft and AMD leaders as they discuss how organizations can securely and reliably migrate, modernize, and enhance existing deployments with Azure. Hear how Microsoft customers have leveraged Microsoft and AMD products and solutions to design, deploy, govern, manage their Azure workloads so they can drive ongoing performance and innovation in their organizations. Learn from the leaders about how you can best maximize your cloud and AI investment. Select Add to calendar to save the date, then select Attend to let us know you're coming. You can post your questions in advance (now) or at any time during the event. Simply scroll to the bottom of this page and post each question where it says "Leave a comment." This session is part of Tech Accelerator: Mastering Azure and AI adoption. View the full agenda for more great sessions and insights. Want to receive event reminders and exclusive post-event content, including access to session presentations? Register for the VIP experience!735Views2likes11CommentsEmpowering Nonprofits with Copilot Actions in Microsoft 365 Copilot
Empowering Nonprofits with Copilot Actions in Microsoft 365 Copilot Nonprofits often face unique challenges, from managing limited resources to coordinating volunteers and engaging with donors. Microsoft 365 Copilot offers a powerful solution to streamline these processes through Copilot Actions. These AI-driven tools can automate repetitive tasks, enhance productivity, and allow nonprofit teams to focus on their mission. Here's how you can make the most of Copilot Actions in your nonprofit organization. Automate Routine Tasks One of the key benefits of Copilot Actions is the ability to automate everyday tasks. For example, you can set up actions to automatically summarize your most important action items at the end of each workday. This ensures that your team stays on top of their responsibilities without spending extra time on manual updates. Enhance Meeting Preparation Preparing for meetings can be time-consuming, especially when coordinating with multiple stakeholders. Copilot Actions can automate the preparation process by generating meeting agendas, summarizing previous discussions, and even suggesting relevant documents. This allows your team to focus on the content of the meeting rather than the logistics. Streamline Volunteer Coordination Managing volunteers is a critical aspect of nonprofit operations. Copilot Actions can help by automating volunteer scheduling, sending reminders, and tracking volunteer hours. This ensures that your volunteers are well-informed and engaged, leading to a more efficient and motivated team. Improve Donor Engagement Engaging with donors is essential for the sustainability of any nonprofit. Copilot Actions can automate donor communications, such as sending personalized thank-you notes, updating donor records, and generating reports on donation trends. This helps build stronger relationships with your donors and ensures that they feel valued and appreciated. Optimize Fundraising Campaigns Fundraising campaigns require careful planning and execution. Copilot Actions can assist by automating campaign tracking, generating performance reports, and suggesting improvements based on data analysis. This allows your team to focus on creative strategies and outreach efforts, rather than administrative tasks. Enhance Data Management Nonprofits often deal with large amounts of data, from donor information to program outcomes. Copilot Actions can automate data entry, update records, and generate insights from your data. This ensures that your data is accurate, up-to-date, and easily accessible for decision-making. Getting Started with Copilot Actions To start using Copilot Actions in Microsoft 365 Copilot, follow these steps: Identify Key Tasks: Determine which tasks in your organization can be automated to save time and improve efficiency. Set Up Actions: Use the Copilot Studio to create and configure actions based on your identified tasks. You can describe the actions in natural language or manually configure them. Monitor and Adjust: Regularly review the performance of your Copilot Actions and make adjustments as needed to ensure they continue to meet your organization's needs. Creating a New Action in Copilot Studio Here are the detailed steps to create a new action in Copilot Studio: Access Copilot Studio: Open Copilot Studio from the Microsoft 365 admin center. Select Agents: On the side navigation pane, select "Agents". Add New Action: Select the "Actions" tab and click on "+ Add action". Choose Action Type: A menu of available action types will appear. Select "New action" and choose the type of action you want to create (e.g., Conversational, Flow, Connector, Topic). Configure Action: A configuration window will appear. Set the basic configurations for the action, such as name, primary language, solution, and schema name. Create Action: Click "Create" to proceed. Your new action will be created and ready for further customization. Customizing and Testing the Action After creating the action, you can customize it further: Define Capabilities: Author the basic capabilities of the action, such as the operations it will perform and the responses it will generate. Test the Action: Use the test pane in Copilot Studio to validate the action and ensure it works as expected. Refine the Action: Make any necessary adjustments based on the test results to improve the action's performance and reliability. Publishing and Deploying Action Once the action is ready, you can publish and deploy it: Publish the Action: Publish the action to the Microsoft 365 admin center. Admin Approval: The tenant admin needs to approve the action for it to be available to users. Deploy the Action: Deploy the action securely using central administration, built-in security roles, and simple management across environments to maintain compliance and governance. By following these detailed steps, you can successfully create and deploy Copilot Actions in Microsoft 365 Copilot, enhancing your organization's productivity and efficiency. References: Extend Microsoft 365 Copilot or Copilot agents with flow actions (preview) - Microsoft Copilot Studio | Microsoft Learn64Views0likes0CommentsScalable Vector Search with DiskANN - Available to all Azure Database for PostgreSQL
We’re thrilled to announce the public preview of DiskANN on Azure Database for PostgreSQL is now open! No sign-up needed — it's available to all Azure Database for PostgreSQL customers right now. Based on your valuable feedback from our initial release in October, we've supercharged DiskANN with parallel index build for improved performance, numerous bug fixes, and enhanced stability. DiskANN enables developers to perform highly accurate and efficient vector searches on large vector datasets, making it an ideal solution for scaling Generative AI applications. Try DiskANN today and elevate your AI projects to the next level! What is DiskANN? Developed by Microsoft Research and used extensively at Microsoft in global services such as Bing and Microsoft 365, DiskANN is an approximate nearest neighbor search algorithm designed for efficient vector search at scale. It provides high recall, high throughput, and low query latency essential for modern AI and RAG applications. Why use Azure Database for PostgreSQL with DiskANN Vector Index? Scalability: DiskANN is optimized for large datasets, making it ideal for handling millions of vectors. Accuracy: DiskANN uses iterative post filtering to enhance the accuracy of filtered vector search results without compromising on speed or precision. Low Latency: The DiskANN graph index construction makes it very efficient during search, minimizing the number of SSD reads to achieve high throughput and low latency. Integration: Seamlessly integrates with Azure Database for PostgreSQL, leveraging the power and flexibility of PostgreSQL. Learn more about DiskANN from Microsoft. Benefits of using a vector index in your AI application Using a vector index in PostgreSQL, such as pg_diskann, dramatically improves query performance and reduces latency for high-dimensional data applications like search engines, recommendation systems, and e-commerce websites. Unlike brute-force search, vector indexes optimize similarity searches by organizing data for efficient nearest neighbor queries using metrics like cosine similarity, Euclidean distance, or inner product. They leverage approximate algorithms, such as DiskANN, to reduce the search space, enabling sub-linear query times even for datasets with millions of vectors. On average using a Vector Index you can achieve sub-10-millisecond query times on a 1-million-row dataset, while brute-force search could take ~200 milliseconds or more, making using Vector index ideal for real-time applications. For example, an Airbnb-style platform could use vector search to match a user's query with similar properties in the database, and the index allows the system to quickly surface the most relevant listings, transforming what could be seconds-long processing into millisecond responses, ensuring a fast and personalized search experience. Using DiskANN on Azure Database for PostgreSQL Using DiskANN on Azure Database for PostgreSQL is easy. Enable the pgvector & diskann Extension: Allowlist the pgvector and diskann extension within your server configuration. Create Extension in Postgres: Create the pg_diskann extension on your database along with any dependencies. CREATE EXTENSION IF NOT EXISTS pg_diskann CASCADE; Create a Vector Column: Define a table to store your vector data, including a column of type vector for the vector embeddings. CREATE TABLE demo ( id INT GENERATED ALWAYS AS IDENTITY PRIMARY KEY, embedding public.vector(3) ); INSERT INTO demo (embedding) VALUES ('[1.0, 2.0, 3.0]'), ('[4.0, 5.0, 6.0]'), ('[7.0, 8.0, 9.0]'); Index the Vector Column: Create an index on the vector column to optimize search performance. The pg_diskann PostgreSQL extension is compatible with pgvector, it uses the same types, distance functions and syntactic style. CREATE INDEX demo_embedding_diskann_idx ON demo USING diskann (embedding vector_cosine_ops) Perform Vector Searches: Use SQL queries to search for similar vectors based on various distance metrics (cosine similarity in the example below). SELECT id, embedding FROM demo ORDER BY embedding <=> '[2.0, 3.0, 4.0]' LIMIT 5; Ready to Dive In? Use the DiskANN preview today and explore the future of AI-driven applications with the power of Azure Database for PostgreSQL! Run our end-to-end sample RAG app with DiskANN Learn More Integrating DiskANN with Azure Database for PostgreSQL enables scalable, efficient AI applications. By leveraging advanced vector search capabilities, you can enhance the performance of your AI applications and deliver more accurate results faster than ever before. Learn more about DiskANN in Azure Database for PostgreSQL Azure Database for PostgreSQL in Semantic Kernel Azure Database for PostgreSQL | 🦜️🔗 LangChain DiskANN – Microsoft ResearchThe Future Of AI: Deconstructing Contoso Chat - Learning GenAIOps in practice
How can AI engineers build applied knowledge for GenAIOps practices? By deconstructing working samples! In this multi-part series, we deconstruct Contoso Chat (a RAG-based retail copilot sample) and use it to learn the tools and workflows to streamline out end-to-end developer journey using Azure AI Foundry.401Views0likes0CommentsThe Future of AI: Power Your Agents with Azure Logic Apps
Building intelligent applications no longer requires complex coding. With advancements in technology, you can now create agents using cloud-based tools to automate workflows, connect to various services, and integrate business processes across hybrid environments without writing any code.1.4KViews2likes0Comments