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9 TopicsRegister for the Microsoft Fabric Community Conference!
Join us at the Microsoft Fabric Community Conference in Las Vegas, NV from March 30 - April 2, 2025! FabCon offers you the chance to learn the latest from Microsoft when it comes to Fabric product features and allows you and your teams to get hands-on with the product through workshops on March 30 and April 3. Throughout FabCon, there will be opportunities for you to connect with Microsoft executives, meet with customers, and connect with peers. On March 30, Microsoft will be hosting the FabCon Partner Pre-Day. This is a special day dedicated to our Microsoft partners and is free for registered FabCon attendees. Our Partner Pre-Day will feature keynotes by Wangui McKelvey on the opportunity for partners in data and analytics and Ashley Asdourian on the partner opportunity with Microsoft and afternoon breakouts for software company attendees including a session with our Microsoft VP and GM of Fabric OneLake and Fabric ISVs, Dipti Borkar. For questions about group discounts and partner referral programs, please contact the FabricPartnersTeam@microsoft.com26Views1like0CommentsTake a comprehensive look at Azure AI Content Understanding
Azure AI Content Understanding is a robust AI solution built to process and analyze a wide range of content types, including documents, audio, images, videos, and text files. Take a look at the Azure AI Content Understanding blog to learn more about this powerful tool12Views1like0CommentsApp Source Canvas App - how to prevent customers seeing code and functionality
We are a small ISV and have published a PowerPlatform solution with a canvas app. While we published as a managed solution, etc. we are seeing that our customers can edit the app and see all the code and functionality we've built. Our 2025 plan includes ramping up several new App Source offerings with Canvas Apps included, but we won't be doing that if we can't protect our efforts and someone can easily replicate. Any help or guidance is greatly appreciated! After a customer purchased this solution, this is what they can see when selecting "App" - clearly you can see they can edit it and did confirm they can go in an navigate through the app in the editor and see al the code, etc. This is the solution view - it is working as expected by preventing the editing. This is the offer. Business Apps – Microsoft AppSource29Views1like1Commentdon't have the option to add the updated package in the Partner Center - Product update
my application has an updated version. I want to submit the updated package to the Partner Center - Product update. but the submit option doesn't show up there. Does anyone else have the same issue?Solved65Views0likes1CommentIn case you missed it, recent Azure AI innovation announcements
In case you missed it, learn about recent AI announcements Microsoft made at Ignite 2024 including what’s new in Azure AI Governance, Azure AI Model Catalog, Azure AI Search, Fin-Tuning in Azure OpenAI Service, new partner models and more. Azure AI Governance, Risk, & Compliance AI reports will help organizations improve cross-functional observability, collaboration and governance when developing and deploying generative AI (GenAI) apps and fine-tuned models. The Azure AI Foundry SDK and Azure AI Foundry portal will make it easier for organizations to create impact assessments for their AI apps by helping developers assemble key project details, such as model cards, model versions, content safety filter configurations and evaluation metrics, into a unified AI report. These reports can be exported to PDF or SPDX formats, helping development teams demonstrate production readiness within governance, risk and compliance (GRC) workflows and facilitate easier, ongoing audits of apps in production. This update will be in private preview next month. Risk and safety evaluations for image content will help users assess the frequency and severity of harmful content in their app’s AI-generated outputs. Specifically, these evaluations will expand existing text-based evaluation capabilities in Azure AI to assess a broader set of interactions with GenAI, such as text inputs that yield image outputs, image and text inputs that yield text outputs, and images that contain text (i.e., memes) as inputs that yield text and/or image outputs. These evaluations will help organizations better understand potential risks and apply targeted mitigations, such as modifying multimodal content filters with Azure AI Content Safety, adjusting grounding data sources or updating their system message before deploying an app to production. Additional resources: Blog: Learn more about AI reports Blog: Learn more about risk and safety evaluations Azure AI Model Catalog The Azure AI model catalog is adding the latest AI models from leading innovators, enabling organizations to choose the right model for the right use case. Models from NTT DATA, (generally available) and Bria AI (in preview), help organizations bring generative AI capabilities to their apps, while industry-specific models will empower developers to pursue solutions specific to healthcare, agriculture, manufacturing and finance. Additional resources: Blog: Learn more about this news Azure Essentials Microsoft launched Azure Essentials to help customers improve the reliability, security and ongoing performance of their cloud and AI investments by providing a single place to access a comprehensive set of resources including tooling, skilling, guidance, reference architectures and best practices. Azure Essentials makes it possible to adopt AI at scale while aligning to Trustworthy AI principles and provides organizations with a clear path to maximize the value of their AI investment. AI scenario within the Cloud Adoption Framework equips technical decision-makers with prescriptive guidance to help prepare organizations to deploy AI workloads in production. The Cloud Adoption Framework methodologies have been adapted to Responsible AI principles so customers can build an AI foundation that supports the design, governance and ongoing management of AI workloads. It helps users with everything from developing an adoption strategy to managing AI workloads in production. AI workload within the Azure Well-Architected Framework supports architects in decision-making when designing their AI workloads. This new guidance allows AI architects to meet the functional and non-functional requirements for reliability, security, performance efficiency, operational excellence and cost optimization. Additional resources: Blog: Learn more about this news Azure AI Search Updates to Azure AI Search, in preview, will help developers deliver better AI apps with improved retrieval augmented generation (RAG) performance. Query rewriting, available in preview, and semantic ranker are now powered by new, upgraded language models that deliver better responses and improved app experiences. In addition, Azure AI Search will soon be integrated with GitHub Models, enabling developers to explore and build a RAG application using a free AI Search index, directly from GitHub marketplace. Additional resources: Blog: Learn more about this news Fine-Tuning in AOAI Service New fine-tuning options in Azure OpenAI Service will enable developers and data scientists to customize models for their business needs. This will include support for fine-tuning GPT-4o and GPT-4o mini on Provisioned and Global Standard deployments, in preview next month. Additionally, developers will be able to leverage an end-to-end distillation workflow using Evaluation, in preview, and Stored Completions, in preview next month, to fine-tune cost-effective models, like GPT-4o mini with outputs from advanced models. Multimodal fine-tuning for GPT-4o with vision is now generally available. Additional resources: Blog: Learn more about this news Partner Models New partner-enabled, adapted AI models address industry-specific use cases to help organizations across industries transform and accelerate business outcomes. Through the Microsoft Cloud, Microsoft’s industry-specific AI capabilities and a trusted ecosystem of experienced partners, these new adapted AI models will empower customers to use AI technology to address their most pressing needs. Partners leveraging the power of Microsoft’s Phi family of small language models include: Bayer, a global enterprise with core competencies in the life science fields of healthcare and agriculture, makes L.Y. Crop Protection available in the Azure AI model catalog, for use by agronomic entities and their partners to advance agronomic knowledge and crop protection label compliance. Agronomists can use the model to enhance farmers’ decision-making processes, helping to drive more sustainable outcomes. Cerence, a global industry leader in creating unique, moving experiences for the mobility world, is enhancing its in-vehicle digital assistant technology with fine-tuned small language models (SLMs) within the vehicle’s hardware. The Cerence CaLLM Edge model, available in the Azure AI model catalog, can be used for in-car controls, such as adjusting air conditioning systems, and scenarios that involve limited or no cloud connectivity. Rockwell Automation, a global leader in industrial automation and digital transformation, will provide industrial AI expertise via the Azure AI model catalog. The FT Optix Food & Beverage model brings the benefits of industry-specific capabilities to frontline workers in manufacturing, supporting asset troubleshooting in the food and beverage domain. Saifr, a RegTech within Fidelity Investment’s innovation incubator, Fidelity Labs, introduces four new models in the Azure AI model catalog, empowering financial institutions to better manage regulatory compliance of broker-dealer communications and investment adviser advertising. The Retail Marketing Compliance model can help ensure marketing materials adhere to industry regulations and standards, while the Risk Interpretation model identifies and helps users understand potential risks in marketing content. The Language Suggestion model provides language suggestions to enhance the compliance of marketing messages, and the Image Detection model assists users with analyzing and verifying the appropriateness of images used in marketing campaigns. Siemens Digital Industries Software, which helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform, is introducing a new copilot for NX X software. It leverages an adapted AI model that enables users to ask natural language questions, access detailed technical insights and streamline complex design tasks for faster and smarter product development. Sight Machine, a leader in data-driven manufacturing and industrial AI, will release the Factory Namespace Manager to the Azure AI model catalog. The model helps manufacturers rename and integrate factory data with their corporate data systems, enabling them to analyze and optimize production alongside supply chain, sales, finance and other corporate functions. Additional resources: Blog: Learn more about this news76Views1like0CommentsHow to publish a saas application in azure marketplace?
I have created Iac using Arm template and terraform to create aks cluster and some other resources . I have my application in helm chart . Now , I need to publish my application in azure marketplace Let's say when the customer purchase my app in azure marketplace , the aks cluster and other resources need to created in his subcription with application what i have in helm chart Guide me how to do ?? And also how to publish the app in azure marketplace??Solved51Views1like1CommentPartner Opportunity to Contribute to the Copilot Roadmap
Microsoft Partners - We're sharing an opportunity with you to contribute to the Copilot roadmap. Voice your company's thoughts on what features and capabilities Microsoft should build to help ISVs build, deploy, and monitor Copilots. Complete this survey (5-10 mins) by EOD 11/22 to influence the Copilot roadmap: https://forms.office.com/r/nv6EPTfYFh48Views2likes0CommentsFAQs from Mastering the Marketplace: Developing your SaaS offer
Developing your SaaS offer is a webinar offered regularly through the Mastering the Marketplace series. In this webinar, you will learn how to implement the components of a fully functional SaaS solution including how to implement the following: SaaS landing page Webhook to subscribe to change events Integrating your SaaS product into the marketplace Attendees can also participate in a short Q&A following the session. Below is a list of recent and frequently asked questions on this topic. Please add your additional questions related to developing SaaS offers in the comments section! _________________________________________________________________________________________________________________ Q1: What happens to the customer data when a customer is offboarded? is there any data egress charges if the customer wants their data? A1: That’s all should already be accounted in the price Q2: Is there is any egress charges from MS Azure? A2: It depends on the service but sure there will be egress depending on the service. That’s more Azure related than marketplace Q3: Can we create a single Plan which initialLy charges the customer for the purchased service, and also has an metered billing which charges moNthly, based on consumption? A3: yes absolutely, which is how the flat rate paired with custom meters on a plan works Q4: I have tried this and when i select Yearly billing for the service, I cannot add a separate monthly billing for the consumption, is there a workaround? A4: You cannot update an existing plan to add meters. When creating a new plan, you can add custom meters on the yearly plan and just emit the usage monthly. Q5: If i emit monthly, will they be charged when i emit, or at the end of the Year? A5: they will be charged monthly ________________________________________________________________________________________________________________ Additional Resource: Plan a SaaS offer for the Microsoft commercial marketplace - Marketplace publisher | Microsoft Learn13Views0likes0CommentsTransforming AI Development: Microsoft Azure AI ‘s new capabilities and tools announced
Microsoft is thrilled to introduce new tools designed to simplify AI app development at GitHub Universe this week. These innovations aim to empower developers with enhanced capabilities, making it easier to build and deploy AI applications and further integrate Microsoft Azure AI services into your favorite dev tools. See how tools like GitHub Copilot for Azure builds upon the Copilot Chat capabilities in VS Code and integrates with tools you already use like GitHub and Visual Studio Code. See the full list of tool and capability announcements made at GitHub Universe that will transform your AI development process. Azure at GitHub Universe: New tools to help simplify AI app development.107Views1like0Comments