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SFL Scientific Achieves AWS Advanced Consulting Partner Status and Solution Provider Designation
  • USA - English

SFL Scientific, a Boston-based data science consulting firm, today announced that it has achieved Advanced Consulting Partner status in the Amazon Web Services (AWS) Partner Network (APN).


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SFL Scientific

Dec 12, 2019, 17:00 ET

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SFL Scientific achieves Advanced Tier Consulting Partner Status
SFL Scientific achieves Advanced Tier Consulting Partner Status

BOSTON, Dec. 12, 2019 /PRNewswire-PRWeb/ -- SFL Scientific, a Boston-based data science consulting firm, today announced that it has achieved Advanced Consulting Partner status in the Amazon Web Services (AWS) Partner Network (APN). This achievement demonstrates SFL Scientific's ability to deliver solutions leveraging cloud-based technologies on AWS specifically as a Consulting Partner with Machine Learning Competency and as an AWS Solutions Provider.

SFL Scientific works with clients to augment their capabilities and improve data science investments with SFL Scientific's custom machine learning development services as well as the SFL Scientific's engineering team's expertise to help design, implement, and maintain data & AI architecture. Now as an Advanced Consulting Partner, SFL Scientific is in a stronger position to continue helping organizations from data strategy and implementation, working with AWS to automate and optimize data-driven use cases.

To qualify for the APN Advanced Consulting Partner tier, partners must meet thorough requirements that demonstrate the scale of their AWS expertise, capabilities and engagement in the AWS Ecosystem. SFL Scientific is one of a handful of consulting partners worldwide with ML Competency, helping organizations solve their data challenges, enable custom ML and data science workflows, and offer capabilities that enhance end-user applications with AI.

"By strengthening our relationship with AWS and AWS Solution's teams, we are able to simplify our customer experience and improve our services by taking advantage of AWS's cost, security, agility, and innovation benefits," said Michael Luk, CTO, SFL Scientific. "Our team is dedicated to helping organizations, many of whom have chosen to utilize AWS to launch machine learning projects efficiently."

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 Scientific provides organization's worldwide key insights into short and long-term data strategy, AI use cases, and creating custom solutions to solve identified gaps, decrease development times, and gain an overall better understanding of technology's impact on operations, tools, and services.

About SFL Scientific

SFL Scientific is data science consulting firm that is uniquely positioned as a machine learning strategic partner, tailoring algorithm development, data engineering, and analytics solutions to meet enterprise needs and enable business transformation. The company's 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 problems, lower operating costs, and augment their capabilities for an effective AI advantage.

Learn more at http://www.sflscientific.com

SOURCE SFL Scientific

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