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Azure Analytics and AI Accelerate Program

The Azure Analytics and AI Accelerate Program (AAAP) is a proven approach to help partners accelerate customer demand and consumption of Analytics & AI Services. The program decreases the time to solution and increases your ability to win!

Accelerating partner success

AAAP provides the resources, credits, and incentives you need to accelerate demand, revenue, and customer success. Explore the core program components.

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Readiness


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Deliver

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Analytics and AI Partners

Join the list of Certified Analytics & AI Partners with Microsoft today.

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Analytics and AI in a Day

Host one-day workshops to teach customers about Analytics and AI solutions and drive demand.

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Solution Accelerators

Leverage pre-packaged Solution Accelerators by use case to decrease time to solution with your customer.

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Azure Credits

Accelerate consumption by tapping into Azure Credit Offers.

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Technical Assistance

Utilize Microsoft technical assistance to enhance your execution.

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PoC Sandbox Subscriptions

Get free Azure PoC Sandboxes to showcase the value of Azure to customers.

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Azure Synapse Customer Growth Incentive

Partners can earn incentives for helping customers with Azure Synapse deployments.

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Azure Data Pipelines

Tap into pre-built, curated data pipelines that enable faster, better analytics and data science.

Get the details

Understand AAAP’s offerings and how you can leverage them to drive growth and customer success.

Analytics in a Day workshops

Analytics in a Day workshops are designed to educate your customers on the depth and breadth of cloud analytics capabilities. Teach your customers how to create an analytics pipeline that goes from data ingestion to business intelligence, enable self-service, and enable a truly data-driven culture. In the process, build and accelerate your Azure Analytics pipeline.

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AI in a Day workshops

AI in a Day workshops enable the delivery of virtual or in-person events to educate customers on the value AI can add to their business. Developed for business and technical audiences, the workshops provide the latest Azure AI solutions demonstrations, examples of best practices and scenarios, and hands-on Azure AI experiences. Workshop resources are designed for partner sellers.

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Solution Accelerators solve customer problems quickly - they're packaged code that is ready to be personalized for the customer and deployed.

The accelerators are available for repeatable scenarios across industries and can be used in your Analytics & AI engagements.

The process and timeline outlined below outline how Solution Accelerators speed up your time-to-solution with your customer:

  1. Demo (30 minutes) - Partner presents the demo of the Solution Accelerator to the customer
  2. Proof of Value (3 hours or less) - Partner walks through GitHub repo of the Solution Accelerator to show how the Minimum Viable Product (MVP) can be built based on the customer’s dataset
  3. MVP & Deployment (1-3 weeks) - MVP is built and deployed for the customer by the Partner
Solution Accelerator
What is it?
Use Case
Link to SA Materials
Training Information
Modern Finance
(Financial Analytics Customer Revenue Growth Factor)
This SA enables companies to understand the top factors leading to customer revenue growth and the relative importance of these factors to drive business decisions.  This SA can predict whether a customer will lead to growth, using features from the provided data. Your customer is looking to understand the top factors for their business that are leading to customer revenue growth to better allocate their resources and make other business decisions. See here for more details The recording of the training can be found here: Modern Finance Training
Azure Synapse Retail Recommender This SA creates an end-to-end solution for large retailers with an e-commerce channel to provide personalized product recommendations to users based on their purchase history, product selection in the e-commerce channel, and their activity in the physical store.  Leveraging both user-based and item-based recommender models, it creates a personalized e-commerce retail experience. Your customer is looking for a way to increase personalization, and consequently sales, on their online store. See here for more details The recording of the training can be found here: Retail Recommender Training
Demand Forecasting
(Many Models)
As customers mature through their ML journey, we are seeing a pattern of "many models" emerging. Instead of training a single model to make predictions for all instances (could be product sku, retail store, oil well, wind turbine, ATM etc.), customers end up slicing data per instance and training a custom model per each of those instances. We are seeing many customers with this pattern and this pattern is poised to be a competitive differentiator for Azure Machine Learning due to our end-to-end capabilities. Your customer is looking to slice data per instance and train a custom model for each instance to make predictions.  This has many applications; one example is a retail organization with several stores and products at each store is building a sales forecasting model at the store level and/or product SKU level. See here for more details

The recording of the training can be found here: Demand Forecasting Training

Solution Accelerator: Content Recommendations What is it?: This solution accelerator provides all the resources needed to quickly create personalized content recommendations based on user activity using Azure Synapse Analytics. Companies across industries are publishing content and gathering user activity data. As content stakeholders, we need to maintain and increase our customer engagements. Use Case: Your customer is looking to implement personalized recommendations to help alleviate information overload and surface new content for their customers, improving their overall experience. They're also looking to increase monetization opportunities within our product experiences by targeting customers with personalized content and advertising. Link to SA Materials: See here Training Information: Training information to come
Solution Accelerator: Commodity Price Prediction What is it?: This accelerator was built to provide developers with all of the resources needed to build a solution to forecast prices of commodities and identify anomalies in the time-series data using Azure Synapse Analytics, Azure Machine Learning and Azure Cognitive Services. Use Case: Use this Solution Accelerator when your customer is searching for a way to forecast prices of a given commodity and identify anomalies in price discrepancies for manufacturing scenarios. Link to SA Materials: See here Training Information: Training information to come
Knowledge Mining - AML The Knowledge Mining – AML SA enables companies to build a knowledge mining solution to enrich their data by identifying custom entities using an AI custom skill that extracts entities from documents by labeling the data and training the model.

Your customer is looking to extract business or industry specific terms from documents, such as extracting medical terms from medical documents, legal terms from contracts, or part names from engineering documents.

See here for more details Recording of training to come.
Modern Finance
(Financial Analytics Customer Revenue Growth Factor)
This SA enables companies to understand the top factors leading to customer revenue growth and the relative importance of these factors to drive business decisions.  This SA can predict whether a customer will lead to growth, using features from the provided data.
Azure Synapse Retail Recommender
This SA creates an end-to-end solution for large retailers with an e-commerce channel to provide personalized product recommendations to users based on their purchase history, product selection in the e-commerce channel, and their activity in the physical store.  Leveraging both user-based and item-based recommender models, it creates a personalized e-commerce retail experience.
Demand Forecasting
(Many Models)
As customers mature through their ML journey, we are seeing a pattern of "many models" emerging. Instead of training a single model to make predictions for all instances (could be product sku, retail store, oil well, wind turbine, ATM etc.), customers end up slicing data per instance and training a custom model per each of those instances. We are seeing many customers with this pattern and this pattern is poised to be a competitive differentiator for Azure Machine Learning due to our end-to-end capabilities.
Solution Accelerator: Content Recommendations
What is it?: This solution accelerator provides all the resources needed to quickly create personalized content recommendations based on user activity using Azure Synapse Analytics. Companies across industries are publishing content and gathering user activity data. As content stakeholders, we need to maintain and increase our customer engagements.
Solution Accelerator: Commodity Price Prediction
What is it?: This accelerator was built to provide developers with all of the resources needed to build a solution to forecast prices of commodities and identify anomalies in the time-series data using Azure Synapse Analytics, Azure Machine Learning and Azure Cognitive Services.
Knowledge Mining - AML
The Knowledge Mining – AML SA enables companies to build a knowledge mining solution to enrich their data by identifying custom entities using an AI custom skill that extracts entities from documents by labeling the data and training the model.
Modern Finance
(Financial Analytics Customer Revenue Growth Factor)
Your customer is looking to understand the top factors for their business that are leading to customer revenue growth to better allocate their resources and make other business decisions.
Azure Synapse Retail Recommender
Your customer is looking for a way to increase personalization, and consequently sales, on their online store.
Demand Forecasting
(Many Models)
Your customer is looking to slice data per instance and train a custom model for each instance to make predictions.  This has many applications; one example is a retail organization with several stores and products at each store is building a sales forecasting model at the store level and/or product SKU level.
Solution Accelerator: Content Recommendations
Use Case: Your customer is looking to implement personalized recommendations to help alleviate information overload and surface new content for their customers, improving their overall experience. They're also looking to increase monetization opportunities within our product experiences by targeting customers with personalized content and advertising.
Solution Accelerator: Commodity Price Prediction
Use Case: Use this Solution Accelerator when your customer is searching for a way to forecast prices of a given commodity and identify anomalies in price discrepancies for manufacturing scenarios.
Knowledge Mining - AML

Your customer is looking to extract business or industry specific terms from documents, such as extracting medical terms from medical documents, legal terms from contracts, or part names from engineering documents.

Modern Finance
(Financial Analytics Customer Revenue Growth Factor)
See here for more details
Azure Synapse Retail Recommender
See here for more details
Demand Forecasting
(Many Models)
See here for more details
Solution Accelerator: Content Recommendations
Link to SA Materials: See here
Solution Accelerator: Commodity Price Prediction
Link to SA Materials: See here
Knowledge Mining - AML
See here for more details
Modern Finance
(Financial Analytics Customer Revenue Growth Factor)
The recording of the training can be found here: Modern Finance Training
Azure Synapse Retail Recommender
The recording of the training can be found here: Retail Recommender Training
Demand Forecasting
(Many Models)

The recording of the training can be found here: Demand Forecasting Training

Solution Accelerator: Content Recommendations
Training Information: Training information to come
Solution Accelerator: Commodity Price Prediction
Training Information: Training information to come
Knowledge Mining - AML
Recording of training to come.

For more details around the different use cases and how to leverage Solution Accelerators, refer to the below deck.

Solution Accelerators for Partners

Azure Credit Offer (ACO)

The ACO provides free usage of Azure Analytics and AI workloads to help win customer deals that accelerate consumption and drive incremental Azure Consumed Revenue. To learn more, partners should work with the Microsoft Account Team for their customer(s), or with their Microsoft Partner Development Manager, on a case-by-case basis.

For Partners who earn or meet the competency, performance, and skilling requirements for the Analytics on Microsoft Azure advanced specialization, there is a new pilot on Azure Synapse Customer Growth incentive which rewards partners who help customers with Azure Synapse deployments.

Reference the deck below to learn more.

Microsoft technical resources are available at no-cost, on a case-by-case basis, to help accelerate customer onboarding and execution. Get assistance by tapping into highly skilled experts to help you execute technical assessments, TCO analysis, architecture guidance, migration strategy workshops, and more!

Get a free Azure Sandbox that can be used in a Proof of Concept (PoC), pre-production environment enabling customers and partners to truly understand the benefits that the Azure platform can provide to their business.

Azure Data Pipelines enable accelerated Data Science and Analytics in Azure. By delivering pre-built, curated offerings of open data (e.g., from the World Health Organization) and syndicated data from third-party data vendors (e.g., Information Resources Inc.), they simplify, automate and streamline data ingestion and management. As a result, data scientists and modelers can spend more time driving data science, analytics, and business impact.

Does your organization have expertise in Azure Analytics and AI services? If so, we are looking for partners we can work with to accelerate demand, onboarding, and consumption. Become a Certified Analytics & AI Partner today.

The AAAP program supports the following Azure Analytics and AI workloads and services:

Analytics

  • Azure Blob Storage
  • Azure Data Explorer
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Data Share
  • Azure Databricks
  • Azure HDInsight
  • Azure Stream Analytics
  • Azure Synapse Analytics

AI and Machine Learning

  • Azure Bot Service
  • Azure Cognitive Search
  • Azure Cognitive Services
  • Azure Knowledge Mining
  • Azure Machine Learning
  • Azure Machine Learning Studio

Contact your Microsoft Partner Development Manager with questions.