Blackstraw AI, an enterprise-grade AI Solutions Provider, is pleased to announce the successful achievement of Microsoft's Solutions Partner Designation for Data & AI (Azure) and Digital & App Innovation (Azure) in the new Microsoft Cloud Partner Program. The new Solutions Partner designation provides benefits to Blackstraw and its clients through partner-only access to the latest Microsoft offerings, technical and deployment support, and training opportunities. With expertise in leveraging Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Power BI, Blackstraw excels in designing and implementing tailored Microsoft data and analytics solutions.
The Microsoft Solutions Partner designation demonstrates Blackstraw's technical capabilities, experience, and ability to deliver successful customer outcomes aligned to the Microsoft Cloud, with the focus on data and analytics. To earn a designation, Blackstraw had to pass a series of all-new Microsoft certification exams, achieve customer success measures, and meet new customer performance targets. The Data & AI Azure designation recognizes Blackstraw's success in delivering solutions for clients in the areas of:
Analytics with Power BI
Architecting, designing & delivering Azure Data Lakes and Data Warehouses
AI and Machine Learning
SQL Server Migration to Azure Cloud
As Microsoft Consulting Partners, Blackstraw will accelerate AI-driven innovation for clients across industries on Microsoft Azure Cloud. Blackstraw's in-depth knowledge and deep expertise in helping enterprise customers modernize and democratize their Data and AI footprint at scale are valuable for the partnership with Blackstraw.
We're excited to be among some of the first partners to achieve the new Microsoft Data and AI Azure Solutions Partner Designation since the program's launch, which will further enhance the support we can offer clients," said Atul Arya, CEO of Blackstraw. "By combining the power of Microsoft Azure Cloud Platform and Blackstraw's advanced AI/ML capabilities, our teams will empower customers to leverage data-driven MLOps and enable enterprise AI success."