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
RECENT MEDIA COVERAGE
Practical AI Solutions in Healthcare & Biotechnology - ODSC 2019
Artificial Intelligence has become a core technology underlying many modern applications, especially in healthcare, where the techniques provide powerful methods for analyzing large data sets, such as medical images, electronic health records, and operational data. With the potential to speed up the diagnostic process, enable higher quality assessment of multiple conditions, and standardize reproducible decisions, providers, payers, and healthcare companies are looking to leverage these emerging technologies and close capability gaps. In this session, we examine data strategy and technical use cases involving time-series, text, and image data, and discuss the development and deployment of these solutions within Fortune 500 companies.
Automating Quality Control in Manufacturing through Computer Vision
In high-speed manufacturing, manual inspection is not only a major cost, but a major point of failure. Join our CEO, Mike Segala, and Chris Hegarty from Cray, Inc., for a webinar, as they demonstrate how recent innovations in AI and deep learning can be integrated into the manufacturing workflow to identify defects closer to the point of origin and in real time.
Super Data Science: Diving into Data Science Consulting
In April, SFL Scientific sat down for a conversation with Kirill Eremenko, host of the Super Data Science Podcast to discuss how data science brings value through consulting firms - "In SDS249: Diving Into Data Science Consulting", CEO, Michael Segala, discusses methods, processes, hiring, and growing data science teams to execute on industry specific use cases.
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."