SFL SCIENTIFIC PRESS RELEASES
SFL Scientific Receives Americas 2018 NVIDIA Partner Network Service Delivery Partner of the Year Award
SFL Scientific Announces the Opening of a New Data Science Consulting Office in Boston
WEBCAST | 07.31.2018
From Data to Artificial Intelligence: Accelerating Moderinzation
"WASHINGTON, D.C. – July 31, 2018 – The promise of artificial Intelligence (AI) and machine learning technologies has made its way to the public sector, and federal and defense leaders are seeing this once science fiction-based idea as a reality and opportunity to transform their agency IT platforms. Now more than ever, agencies are determining when and where to adopt and implement this disruptive technology to keep pace with the changing technological landscape and move the dial on modernization efforts."
Michael Segala, CEO, sat down for a webcast panel with the Mona Siddiqui, Chief Data Officer at HHS, Nick Psaki, Principal Engineer at Pure Storage, and Will Yang, Innovation Consultant at HHS. The panel was moderated by Tom Suder, President and Founder of ATARC.
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PRESS RELEASES | 05.10.2018
SFL Scientific Achieves AWS Machine Learning Competency Status
"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. "
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THE IMPACT PODCAST - TECH TRENDS FOR ENTREPRENEURS | 11.09.2017
Applied Artificial Intelligence: Cracking the Data Science Code, a Conversation with Georgian Partners
"Everyone knows that data is essential for any modern business. It’s critical for targeting your customers effectively, extracting important insights, and automating business processes. Perhaps most important of all, it’s what fuels artificial intelligence and machine learning. Of course, cracking the data science code is anything but easy. Sometimes you need help..."
STRATA DATA CONFERENCE NEW YORK | 10.17.2017
Deep Learning on Big Images - Strata Data Conference New York 2017
"New York, NY – September 27th, 2017 – Michael Segala, CEO and co-founder, SFL Scientific, presents a case study on how to adopt and leverage deep learning on big image data in non-traditional verticals to revolutionize a business and industry."
PRESS RELEASES | 10.06.2017
SFL Scientific Announces Deep Learning Services Partnership with NVIDIA
"BOSTON, MA – October 6, 2017 – SFL Scientific today announced a new business relationship with NVIDIA focused on extending services for businesses that are capitalizing on the significant growth opportunities created by GPU-accelerated computing and machine learning technology."
PRESS RELEASES | 09.11.2017
SFL Scientific Announces Consultant Partnership with Hortonworks
"BOSTON, MA – September 11, 2017 – SFL Scientific, a data science consulting and professional services firm, today announced a partnership with Hortonworks® (NASDAQ: HDP), a leading innovator of open and connected data platforms. The consulting partner relationship will feature initiatives that expand capabilities for..."
SUPER DATA SCIENCE PODCAST | 06.29.2017
How Data Science Brings Value Through Consulting Firms
"CEO Michael Segala shares case studies from the consulting world, and how data science can be used to drive business value; it's not a theoretical exercise any more, it's a business exercise to automate, reduce operational costs, and gain competitive advantage..."
OPEN DATA SCIENCE CONFERENCE | 07.20.2016
ODSC EAST 2016 - Interview with Michael Segala
"As a data science consultancy, we're really working with clients from all different markets, from healthcare start-ups to more traditional financial institutions - so our value add and service we try to provide is what your business trying to solve from a data perspective..."
EXPERFY TRAINING & COURSES | 12.01.2016
Introduction to Applications of Data Science in the Healthcare Industry.
"In the next five years, machine learning will play an increasingly important role in healthcare. Whether it's aggregating new results in medical journals using Natural Language Processing, predicting diseases using Time-Series Analysis, or detecting cancer from MRIs using Machine Vision, healthcare is on the verge of a big data revolution. The purpose of this course will be to introduce you to these topics and more..."