Broken link removed

Author: pritamso

articles/synapse-analytics/partner/machine-learning-ai.md

@@ -21,8 +21,7 @@ This article highlights Microsoft partners with machine learning and artificial
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 | ![Dataiku](./media/machine-learning-and-ai/dataiku-logo.png) |**Dataiku**<br>Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to Enterprise AI, powering self-service analytics while also ensuring the operationalization of machine learning models in production. |[Product page](https://www.dataiku.com/partners/microsoft/)<br> [Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/dataiku.dataiku-data-science-studio)<br> |
 | ![MATLAB](./media/machine-learning-and-ai/mathworks-logo.png) |**Matlab**<br>MATLAB® is a programming platform designed for engineers and scientists. It combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. Millions worldwide use MATLAB for a range of applications, including machine learning, deep learning, signal and image processing, control systems, and computational finance. |[Product page](https://www.mathworks.com/products/database.html)<br> [Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/mathworks-inc.matlab-byol?tab=Overview)<br> |
-| ![Qubole](./media/data-integration/qubole_logo.png) |**Qubole**<br>Qubole provides a cloud-native platform that enables users to conduct ETL, analytics, and AI/ML workloads. It supports different kinds of open-source engines - Apache Spark, TensorFlow, Presto, Airflow, Hadoop, Hive, and more. It provides easy-to-use end-user tools for data processing from SQL query tools, to notebooks, and dashboards that use powerful open-source engines.|[Product page](https://www.qubole.com/company/partners/partners-microsoft-azure/)<br> [Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/qubole-inc.qubole-data-service?tab=Overview) 
-| ![SAS](./media/business-intelligence/sas-logo.jpg) |**SAS® Viya®**<br>SAS® Viya® is an AI, analytic, and data management solution running on a scalable, cloud-native architecture. It enables you to operationalize insights, empowering everyone – from data scientists to business users – to collaborate and realize innovative results faster. Using open source or SAS models, SAS® Viya® can be accessed through APIs or interactive interfaces to transform raw data into actions. |[Product page](https://www.sas.com/microsoft)<br> [Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/sas-institute-560503.sas-viya-saas?tab=Overview)<br> |
+| ![Qubole](./media/data-integration/qubole_logo.png) |**Qubole**<br>Qubole provides a cloud-native platform that enables users to conduct ETL, analytics, and AI/ML workloads. It supports different kinds of open-source engines - Apache Spark, TensorFlow, Presto, Airflow, Hadoop, Hive, and more. It provides easy-to-use end-user tools for data processing from SQL query tools, to notebooks, and dashboards that use powerful open-source engines.|[Product page](https://www.qubole.com/company/partners/partners-microsoft-azure/) | ![SAS](./media/business-intelligence/sas-logo.jpg) |**SAS® Viya®**<br>SAS® Viya® is an AI, analytic, and data management solution running on a scalable, cloud-native architecture. It enables you to operationalize insights, empowering everyone – from data scientists to business users – to collaborate and realize innovative results faster. Using open source or SAS models, SAS® Viya® can be accessed through APIs or interactive interfaces to transform raw data into actions. |[Product page](https://www.sas.com/microsoft)<br> [Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/sas-institute-560503.sas-viya-saas?tab=Overview)<br> |
 
 ## Next steps
 To learn more about other partners, see [Business Intelligence partners](business-intelligence.md), [Data Integration partners](data-integration.md), and [Data Management partners](data-management.md).