The Qatar Computing Research Institute (QCRI) and Boeing will co-host a two-day Machine Learning and Data Analytics Symposium (MLDAS) at Tornado Tower from today.
The event will focus on various applications, recent advances and new solutions in the fields of machine learning and data analytics.
MLDAS brings together some of the world’s top researchers and practitioners in machine learning and data analytics, which are two of the fastest growing areas of computer and data sciences. The symposium will offer attendees an opportunity to learn about some of the latest advances in how massive amounts of data are being applied through predictive techniques to enable optimal decision-making, improve business performance and facilitate scientific discovery.
The symposium serves as a platform for the exchange of ideas, identification of important and challenging applications and discovery of possible synergies. The programme features a broad series of high-profile presentations, panel discussions, research highlights and poster sessions to be delivered by invited and contributing speakers.
International experts from industry, academia and government will discuss case studies on topics such as the application of data analytics and machine learning for social good, aid disaster response, understanding complex social networks, improving medical treatment and healthcare and advancing aviation safety.  
Presentations on the techniques and approaches necessary to achieving a higher level of learning precision and addressing large-scale storage needs will also be delivered at the event.
Dr Mohamed J Zaki, principal scientist, QCRI, and co-chair of MLDAS, said: “QCRI is spearheading cutting-edge fundamental and applied research in this area, as exemplified by the symposium. We have a very exciting programme with prominent machine learning and data mining speakers invited from academia, industry and government as well as a set of high-quality research highlights from both external and internal research groups.”
Dr Dragos Margineantu, a Boeing technical fellow and co-chair of the symposium, added: “Our main goals for this symposium are to explore revolutionary data analytics approaches and to drive their application on tasks that generate large amounts of data.”  Boeing Research & Technology’s Data Analytics group has a long history of innovating and integrating data analysis technologies into Boeing products to improve its processes. By establishing relationships with universities and research institutes such as QCRI, Boeing also leverages emerging technologies in the global community.
For further information about the symposium, visit www.mldas.org