SFL Scientific Achieves Microsoft Silver Partner for Data Analytics Competency


BOSTON, MA – March 15, 2019 –
 SFL Scientific, a data science and artificial intelligence (AI) consulting firm, announced today that it has achieved Silver competency in Data Analytics in the Microsoft Partner Network. This designation recognizes SFL Scientific for their consulting practice. 

Achieving the Microsoft competency differentiates SFL Scientific as an Microsoft Partner Network (MPN) member that has built solutions that help organizations solve their data challenges, enable custom ML and data science workflows, and offer capabilities that enhance end applications with machine intelligence. This competency through the partner program is a small stepping stone in demonstrating certifications in data fields that helps customers to discover deeper insights, make predictions, or generate recommendations.

“Achieving Silver Partner status with Microsoft, and working through certifications in Data Analytics, Azure Platform development, and DevOps, demonstrates our continued investment towards working with enterprise hardware and software providers, jointly delivering advanced solutions in data science, automation, and machine learning,” said Michael Segala, CEO of SFL Scientific. “Our team is dedicated to helping organizations, many of whom utilize Azure to achieve their business goals through data-driven initiatives.”

By incorporating SFL Scientific’s advanced AI and deep learning capabilities, and allowing teams to easily seek expert help with Azure, we can help clients achieve powerful processing and analytics results at scale, creating smarter and more agile businesses. “We have been working informally with Microsoft Azure’s sales, solutions, and global black belt teams for over three years, helping some of the world’s largest businesses scale their machine learning capabilities," said Alexander Tolpygo, COO, SFL Scientific. “This achievement is a small stepping towards our goals of a joint offering and certifications throughout the Azure portfolio.”

SFL Scientific provides clients with expert data science capabilities. SFL Scientific offers initial strategy, data ingestion and warehousing, stream processing, and algorithm development, helping to collect, curate, analyze, and productionize systems across data center and cloud.

About SFL Scientific

SFL Scientific is a data science consulting and professional services firm, providing a broad range of solutions in data engineering, machine learning, and Artificial Intelligence. We provide strategy, prototype, integrate, and manage sophisticated AI solutions by leveraging emerging technology. With a globally connected network of technology partners such as Microsoft Azure, SFL Scientific brings world-class capabilities, delivering professional services and insights to address the most complex business challenges. Our team brings experience and domain knowledge across twenty industry sectors, working at the intersection of business and technology to help clients to develop new products, solve R&D or complex problems, lower operating costs, and set the stage for their AI augmented future.

For more information, please visit www.sflscientific.com and connect with SFL Scientific on LinkedIn and Twitter