Conferences brought to you by the Rice Ken Kennedy Institute for Information Technology
Oil and Gas High Performance Computing Conference
The Oil and Gas High Performances Computing (HPC) Conference, hosted annually at Rice University, is the premier meeting place for networking and discussion focused on computing and information technology challenges and needs in the oil and gas industry. High-end computing and information technology continues to stand out across the industry as a critical business enabler and differentiator with a relatively well understood return on investment. However, challenges such as constantly changing technology landscape, increasing focus on software and software innovation, and escalating concerns around workforce development still remain.
The agenda for the conference includes invited keynote and plenary speakers, parallel sessions made up of at least four presentations each and a student poster session.
Technical themes for conference sessions are developed based on current challenges and the diversity and strengths of the abstracts received.
This conference has become the key venue for planners and practitioners alike. This is a forum for taking the pulse of industry needs and discussing challenges, opportunities and new development at the interface of the oil and gas industry, the IT industry and the academic and research community.
Data science is rapidly evolving as an essential interdisciplinary field, where advances often result from combinations of ideas from several disciplines. This conference, to be hosted annually by Rice University, is for professionals and practitioners working in machine learning, deep learning, data mining, artificial intelligence, or big data problems broadly. Recognizing that discovery and innovation happens at interfaces of disciplines and communities, the conference aims to bring together a diverse set of people from multiple communities spanning academia and industry.
The conference is a research, development, and innovation (RD&I) gathering, bringing together university and research labs (technology developers), key industry verticals (technology consumers), and IT industry (technology providers) that are looking at opportunities created by advances in AI, data analytics, machine learning and deep learning.
Visit the website at www.dsconference.rice.edu for more information and updates.