SFL Scientific Achieves AWS Machine Learning Competency

BOSTON, MA – May 10, 2018 – SFL Scientific, a data science and artificial intelligence (AI) consulting firm, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes SFL Scientific for their consulting practice.

Achieving the AWS ML Competency differentiates SFL Scientific as an AWS Partner Network (APN) 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. Attaining the AWS ML Competency demonstrates to our clients that SFL Scientific has validated expertise ML experience on AWS. This accomplishment aligns with our strategy of providing solutions at the intersection of business, big data, analytics, and AI.

“Achieving AWS ML Competency status recognizes our proven track record of 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 AWS to achieve their business goals through data-driven initiatives.”

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.

By incorporating SFL Scientific’s advanced AI and deep learning capabilities, and allowing teams to easily seek expert help with AWS, we can help clients achieve powerful processing and analytics results at scale, creating smarter and more agile businesses. SFL provides customers and developers with a fast on-boarding ramp to data science capabilities and building the desired tools and environments. SFL offers initial strategy, data ingestion and warehousing, stream processing, and algorithm development for analytics, helping to collect, curate, analyze, and productionize systems across data center and cloud.

SFL Scientific is a full-service provider of advanced analytics and machine learning on AWS. Our capabilities include computer vision for medical image analysis, natural language processing (NLP), predictive modeling, customer analytics, and IoT & sensor analytics. SFL Scientific data scientists and engineers use ML to address a wide range of data-intensive and complex R&D problems.

About SFL Scientific

SFL Scientific is a US-based data science professional services firm focused on strategy, technology, and solving business & operational challenges with Artificial Intelligence (AI). Working with clients of all sizes, industries, and AI maturity levels, our capabilities range from developing corporate AI strategy to building custom AI applications at scale. With a globally connected network of technology and cloud partners, SFL Scientific’s core services include leading cross-functional efforts across business, IT, and operations. Hundreds of clients—including S&P100 enterprises, fastest-growing startups, and government agencies—trust SFL Scientific to create and accelerate AI initiatives.

For more information, please visit sflscientific.com and connect with us on LinkedIn & Twitter.

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