Tax profile requiring an US-tax form for non-US account
Hello, all. I am about to submit a first version of an app to MS team evaluation before it goes to MS Store and one of the steps is to fill out a tax profile. While filling it in my partner center page, which is a dev account registered out of the US, it comes to a point where it wants a W-8BEN filled even after informing in at least 2 occasions in the same process that I am not based in the US, I am not US citizen and I don't pay tax in US. Why does it still want a W-8BEN given the above explanation, and considering that any future revenue is not made in the US? Any explanation will be appreciated.
Azure App Service Web Job Access
We have published a Managed App that includes a backend Web Job hosted on an Azure App Service, we did not use Azure Functions because this process can run for many hours. I understand some architectural thoughts could make it work, that change may come in the future. However, right now. We have the Plan configured to allow Partner owner access. But when I look at the web jobs on a customer environment I am unable to start the web job or view the logs of the web job. When I attempt to view the logs going through the Managed Applications Center I get this error: How do we get permission to run a job or view the logs? I would have thought owner access would be sufficient.
Build and extend your own agents using pro-code capabilities
On-demand session Microsoft Copilot Studio and building custom agents. Agents are AI-powered productivity tools designed to enhance everyday tasks by leveraging large language models (LLMs). Are you a developer interested in exploring advanced aspects of using Microsoft 365 Copilot, Microsoft Copilot Studio, and building custom agents using professional coding techniques? Join our on-demand workshop to learn how to leverage pro-code capabilities and build intelligent agents that assist users across various domains. On-Demand Workshop Agenda Day 1: Extend Microsoft 365 Copilot with declarative agents Build custom engine agents with Teams AI library and Microsoft 365 Agents SDK Day 2: Develop your own agents in Azure AI Foundry Day 3: Build your own agents with Semantic Kernel for a fully controlled end-to-end AI experience Secure and govern copilots Don't miss this opportunity to enhance your skills and build powerful agents with pro-code capabilities. Register now and take the next step in your development journey! For more training opportunities, visit us at the Partner Skilling Hub.Azure AI Foundry Labs = new possibilities for ISVs
Last week, Microsoft announced Azure AI Foundry Labs, which unites cutting-edge research with real-world applications to enable developers and creators across industries to discover new possibilities, solve complex problems, and share insights to shape the future of AI. Microsoft also announced its newest AI breakthrough—Muse, a first-of-its-kind World and Human Action Model (WHAM), available today in Azure AI Foundry. Azure AI Foundry Labs gives developers, startups, and enterprises the opportunity to explore groundbreaking innovations from research at Microsoft, including: Aurora: A large-scale atmospheric model providing high-resolution weather forecasts and air pollution predictions, outperforming traditional tools. ExACT: An open-source project enabling agents to learn from past interactions and improve search efficiency dynamically. Magentic-One: A multi-agent system solving complex problems by orchestrating multiple agents, built on the AutoGen framework. MatterSim: A deep learning model for atomistic simulations, predicting material properties with high precision. OmniParser v2: A vision-based module converting UI screenshots into structured elements, enhancing agents’ action generation. TamGen: A generative AI model for drug design, using a GPT-like chemical language model for target-aware molecule generation and refinement. The opportunity for ISVs: Azure AI Foundry Labs provides a single access point for developers and the broader AI community to experiment with new models, explore the latest frameworks, and be at the forefront of innovation. Developers can create prototypes using experimental research in Azure AI Foundry Labs, collaborate with researchers and engineering teams by sharing feedback, and help speed up the time to market for technologies that ISVs may be leveraging in their development for the marketplace. Learn more: Introducing Azure AI Foundry Labs: A hub for the latest AI research and experiments at Microsoft | Microsoft Azure Blog Visit Azure AI Foundry Labs.Register 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.com
Take 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 toolApp 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 AppSource
In 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 news
