BOSTON, MA—June 10, 2020—SFL Scientific, a US-based data science consulting firm, announced today we have further grown our relationship with Amazon Web Services (AWS) by adding Public Sector Partner Program to our list of AWS designations. SFL Scientific will leverage its AWS Public Sector Partner status to help federal, defense, state, and local government agencies plan, build, and test artificial intelligence (AI), machine learning, and data analytics workloads on AWS to improve mission success and operational efficiency. The AWS Public Sector Partner Program recognizes companies that have the necessary Federal regulatory validations, and demonstrate their experience and readiness to support government, education, or nonprofit customers.
The AWS Public Sector Partner Program recognizes companies with innovative solutions that can build, integrate, and accelerate AWS offerings to government and non-profit clients. To achieve this designation SFL Scientific demonstrated level of expertise with the AWS platform through a combination of public sector customer references, professional certifications, and training program investments. As an existing AWS Advanced ML Consulting Partner, SFL Scientific is recognized for having built solutions that help organizations solve their data challenges, enable custom ML and data science workflow, and offer capabilities that enhance end applications with machine intelligence.
As government, defense, and nonprofit organizations face unique challenges to accomplish complex missions with often limited resources and in novel environments, this partner designation allows for closer alignment with AWS teams and funding opportunities to help organizations develop the next generation of operational and R&D AI tools, services, and systems. SFL Scientific is a US-based data science consulting firm that works with leaders and supporting organizations engaged in leveraging analytics and Artificial Intelligence solutions to serve citizens more effectively, increase operational efficiency, and develop intelligent tools and services to solve mission-critical objectives. Working across departments, sectors, and AI maturity levels, our service offerings range from developing AI strategy to developing systems based on our expert machine and deep learning capabilities.
“Joining the AWS Public Sector Partner Program demonstrates SFL Scientific’s growing commitment to helping accelerate AI initiatives and programs outside of traditional large contractors and system integrators,” said Dr. Michael Segala, CEO, SFL Scientific. “Technical expertise is needed to develop a data strategy, AI roadmap, and solve challenges that impact every branch of state and federal government. We hope to continue to serve our government and supporting organizations to the best of existing technical capabilities.”
The Authorized Public Sector Partner status signifies that SFL Scientific continues to strengthen its AWS practice and holds in-house AWS-certified technical expertise. Prototyping and deploying SFL Scientific AI solutions on the AWS platform speeds the delivery and implementation of cybersecurity, DevOps, and MLOps for public sector customers.
For more information on how we help support the Department of Defense, NFS, NIH, or to learn about our specific solutions in ISR, computer vision, NLP, or signal analysis, please contact us at firstname.lastname@example.org
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.