RMDS Labs Transitions its 2020 AI and Data Science Annual Conference to Virtual
IM DATA Conference reaches a global audience for the first time
Global Association of Research Method and Data Science (RMDS) Lab announced its industry-leading AI and data science annual conference – “IM DATA 2020” – will take on an entirely new online format on Nov. 2nd and 3rd, packed with content for attendees, speakers, partners, sponsors, and press alike. The online event will be an opportunity for thousands of researchers, practitioners, professionals and executives from all over the world to get access to innovative and impactful data science developments as well as skills for application.
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This multi-track conference will focus on three main areas: 1) Innovative Methods with Data Science and AI; 2) Data and AI for COVID-19 and Healthcare; 3) AI, Machine Learning and Deep Learning. The conference will be led by Dr. Alex Liu, founder of RMDS Lab and IBM’s former chief data scientist. He says, “The next decade will be increasingly dominated by the impact of data science and automation, while facing great challenges. Without a circulative and evolved ecosystem, society will be unable to unlock the greatest benefits of AI, and this is why RMDS Lab and IM DATA exist.”
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Internationally renowned scientists, researchers, and leaders will keynote IM DATA to discuss the impact of AI on the most pressing issues of our time, as the conference has confirmed Dr. Eva-Marie Muller-Stuler – Data & AI Practice Leader of IBM Middle East, Africa & Turkey; blockchain expert David Moss; Usama Fayyad the world’s first Chief Data Officer; Rich Fox, VP Head of Analytics of Qdoba Restaurant Corporation; plus leaders from ACM, City of Los Angeles, Unacast and DataRobot. “IM Data 2020 will be a truly global convention as we have confirmed speakers from Asia, Europe, and from the Middle East,” adds Dr. Liu.
This year, IM DATA conference has highlighted the Data and AI for COVID-19 and Healthcare track, in an effort to use AI for a positive social impact towards the COVID-19 pandemic. This track is well supported as a result of the COVID-19 Computational Challenge, which was co-hosted by RMDS Lab and the City of L.A from May to June. The 6 winner teams from 66 data science teams of 408 contestants all over the world will present their projects revealing Los Angeles COVID-19 exposure risk score in different locations, with actionable solutions to assist with the city’s re-opening stages.
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