WAYNE, Pa., Feb. 14, 2019 /PRNewswire-PRWeb/ -- RCH Solutions (RCH), a global provider of computational science expertise for Life Sciences and Healthcare firms of all sizes, in partnership with Igneous, a leading provider of unstructured data management solutions, will host industry expert and experienced technologist, Chris Dwan, in the free workshop series "How to Accelerate Life Sciences Discoveries and Breakthroughs with AI, ML, and HPC Workflows," February 27 in Bridgewater, N.J. and March 20, in King of Prussia, Pa. At the event, Mr. Dwan, who has worked for the Broad Institute and the New York Genome Center, will share his experiences in building data solutions for research projects both large and small to help IT and scientific professionals better understand how technology can help meet growing challenges in project acceleration.
"The data tsunami is upon us," said Michael Riener, president of RCH Solutions. "Research and IT teams in biotech and pharma are trying to stay afloat while powering workflows that drive discovery, securely and strategically. Chris' presentation will serve as a timely primer on how technology and science teams can come together to leverage AI, ML, and HPC to solve these challenges and more."
According to a forecast in IDC's Data Age 2025 white paper, by 2025 the global datasphere will grow from 16 zettabytes (ZB)—that is a trillion gigabytes— to 163 ZB. With a 10-times increase in global storage, data protection will continue to be a growing challenge for IT teams. The report sites that over 70% of that data will be unstructured in nature. Mr. Dwan will outline some key strategies that will help organizations seeking on-premise and hybrid cloud solutions and methodologies to store, manage, protect, and mine petabytes of R&D computing data and the associated metadata, to accelerate research programs and improve patient outcomes.
"In the world of biomedical research, we are increasingly able to handle the raw volume of our data," said Dwan. "Managing an incredible variety of data resources is the next step to unlocking the potential of genomic and precision medicine. While machine learning and artificial intelligence are on the horizon, good old fashioned organization will be a necessary first step."
"The quality of our lives and future of our health is inextricably tied to the successful management, protection, analysis, and application of research and medical data," said Kevin Kotecki, vice president of sales for Igneous. "In this seminar series, we will be providing researchers and IT professionals in the Life Sciences arena with new strategies to optimize research programs and meet compliance requirements."
Registration is limited. Interested guests can sign-up for the Bridgwater event here and the King of Prussia event here.
About RCH Solutions
RCH Solutions (RCH) is a global provider of computational science expertise, helping Life Sciences and Healthcare companies of all sizes clear the path to discovery. For more than 27 years, RCH has provided focused experience and unmatched specialization designing and deploying cross-functional IT strategies, supporting R&D infrastructure, and offering workflow best practices that solve enterprise and scientific computing challenges. Learn more at http://www.rchsolutions.com
About Igneous
Igneous delivers the only Unstructured Data Management (UDM) as-a-Service solution, giving data-centric enterprises visibility, protection, and data mobility at scale. Igneous' API-enabled, cloud-native solution combines all UDM functions so that organizations can see, protect, analyze, and leverage all their unstructured data, wherever datasets and workflows live. Igneous: The right data, in the right place, at the right time. Find out more at igneous.io.
About Chris Dwan
Chris Dwan is an independent consultant, technologist, and leader in scientific computing and data architecture for the life sciences. He works with universities, research institutes, biotech and pharmaceutical companies, and the government. To learn more visit https://dwan.org.
SOURCE RCH Solutions
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