dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, is providing dotData Enterprise on Microsoft Azure, offering increased speed and efficiency of data science and machine learning processes coupled with Azure's strong managed IaaS/PaaS capabilities.
In addition, dotData has added Microsoft SQL Server and Azure SQL Database connectors which allows users to quickly and easily develop AI/ML models based on data stored in their corporate databases.
By choosing the "Transact" option on the dotData solutions page in the Azure Marketplace, customers can contract directly through the Azure Marketplace for rapid deployment and implementation of the dotData platform.
This expands the relationship between Microsoft and dotData, following dotData's recent announcement that it had been named a qualified partner in Microsoft for Startups, a program designed to support the top startup technology businesses in the world developing innovative enterprise-ready technology solutions that run on Microsoft Azure.
The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.
"Over the last few months, we have been honored to work with Microsoft through its Microsoft for Startups program. Today we are happy to announce that dotData Enterprise is fully ready to accelerate ML and AI projects on Azure," said Ryohei Fujimaki, Ph.D., CEO and founder of dotData. "We are excited to continue to expand our relationship with Microsoft."
dotData provides AutoML 2.0 solutions that help accelerate the process of developing AI and Machine Learning (AI/ML) models for use in advanced predictive analytics BI dashboards and applications. dotData makes it easy for BI developers and data engineers to develop AI/ML models in just days by automating the full life-cycle of the data science process, from business raw data through feature engineering to implementation of ML in production utilizing its proprietary AI technologies.
dotData's AI-powered feature engineering automatically applies data transformation, cleansing, normalization, aggregation, and combination, and transforms hundreds of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects that are fundamental to developing predictive analytics solutions.
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