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AppSource Marketplace bugs
Hi everyone, We recently noticed some bugs on the Marketplace, such as the call-to-action button displaying “CTA_Get” instead of the correct label. I’m curious—has anyone else experienced similar issues? It’d be great to know if this is isolated or more widespread. Thanks for sharing your feedback!Issues with Partner Support
I am having some problems with Partner support (created a ticket over a month ago and they kept asking for information saying that it was ok and then asking for the same information again and in the last two weeks they just ignore the emails). I am wondering if anyone else has have similar issues in the past and how can we escalate this (Usually based on the v- account I can contact some of my contacts in Microsoft and they can help me escalate within the team, but it seems that the partner support team uses the generic email address removed for privacy reasons)?Critical! SaaS App review and rating synchronized with the wrong AppSource App!
First of all. THANK YOU SO MUCH for finally making a synchronization between the SaaS App and the corresponding App in AppSource. HOWEVER! the SaaS app is synchronizing with the wrong App in AppSource. This is critical, I don't have time for support to first acknowledge it and then find time to make the fix. I need this to be done immediately. Can a responsible please take action. The problem. In AppSource I have a free version - iPlanner Free - that only offers 20% of the App that is purchased using the SaaS App - iPlanner Pro. The free version have pure ratings in compare to the Pro version. I of course don't want customer to use the free I want them to purchase the Pro with the SaaS App. In my Marketplace listening I am connecting the SaaS App to iPlanner Pro in AppSource. For that reason it is odd why you guys synchronizing with the wrong app. The problem is taking the review and rating to the SaaS app makes my subscribed based app look very bad. This is highly critical and is also very wrong. The reviews shown on the SaaS app comes from the wrong app. I would appreciate if this can be fixed asap. I am sure you guys can see that it is critical. Thank you and happy holydays to all in the community.
Deployment on a CSP managed tenant
There is a public transactable offer that is listed. Based on customer requirements and pricing negotiations, we are deploying via private plans. However, when the customer account is managed by a CSP (rather than pay as you go), the transactions reflect in the name of the CSP and not the end customer leading to processes like Top Tier not recognizing it as an individual customer. Is there a best practice for the same?
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 reportswill 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 forimage contentwill 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 launchedAzure Essentialsto 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 equipstechnical 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 supportsarchitects 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 onProvisionedandGlobal Standard deployments, in preview next month. Additionally, developers will be able to leverage an end-to-end distillation workflow usingEvaluation, in preview, andStored 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
Differences in the payment schedules
When selling through the Azure Marketplace there are various payout schedules. In the reports i see different types of 'Sales Channels'. There is: Enterprise Go to Market Pay as you Go But in the documentation (link) there are other terms that are being used EA MCA CSP Can anyone else to explain in detail when we can expect to get the money for each type of Sales Channel? Thank you.Comparing the Customer Payment Experience: Microsoft AppSource vs. Azure Marketplace
Microsoft AppSource: Audience: Primarily business users, decision-makers, and managers seeking SaaS solutions for productivity and business operations. Payment Process: Portal: Payments are made directly through the AppSource portal, integrated with the user’s Microsoft 365 or Dynamics 365 account. Payment Plans: Limited to simple monthly or annual subscription plans. Users can easily select a plan, enter billing information, and manage payments through the Microsoft 365 Admin Center. Billing: Users receive invoices via their Microsoft account, with transparent pricing shown before purchase. The straightforward subscription models make it easy for business users to manage recurring payments. Customization: There’s minimal need for customization, with AppSource focusing on ease and simplicity. Only monthly or annual options are available, and users can manage subscription renewals or cancellations through their Microsoft 365 portal. Azure Marketplace: Audience: IT professionals, developers, and large enterprises looking for technical solutions with greater control over payments and infrastructure. Payment Process: Portal: Payments are made through the Azure Portal, where users manage all subscriptions and billing under the Azure Cost Management + Billing section. Payment Plans: More flexible options, including pay-as-you-go, usage-based, and multi-year contracts (e.g., 2-year, 3-year pricing plans). Azure supports complex billing scenarios for long-term cloud solutions. Billing: Detailed billing and cost tracking through the Azure Portal. Customers can configure and monitor spending, allocate budgets, and review detailed invoices for SaaS, infrastructure, and other services. Customization: Azure Marketplace allows for more tailored payment solutions, enabling customers to mix and match SaaS and other cloud services into their payment plans. Enterprises can set up custom budgets, payment alerts, and detailed cost analysis. This tailored payment system makes AppSource ideal for business users wanting ease of use, while Azure Marketplace is suited for enterprises needing flexible, long-term payment options and detailed cost management.Dive into these new Copilot agent development tools
Are you already building Copilot agents/extensions for your marketplace apps, or planning to soon? Check out these resources to help support you along your journey: Developer’s guide to building your own agents: Watch our Microsoft 365 Copilot extensibility session on demand to deep dive into the pro-code development tools for building agents for Copilot and beyond. Learn how you can build agents on Microsoft 365 Copilot or your custom AI engine with our new Microsoft 365 Agents SDK. Watch now. Introducing the Microsoft 365 Agents SDK Learning path: Extend Microsoft 365 Copilot with declarative agents using Visual Studio Code Learning path: Build custom agents for Microsoft Teams
