Many industries and organizations today want to harness the power of Big Data analytics and real time machine learning for its potential to improve margins, enhance discoveries, gain insight into business, and enable fast data driven decisions. Machine learning holds a lot of promise for many sectors; however, there have been barriers to entry. The challenges include difficulties in using available systems, not knowing where to start or which tools make sense for a particular problem, and dealing with data sets that are too big, too fast, or too complicated to handle with traditional systems. I will discuss a tool developed by RTDS Inc. called SymetryMLTM, which is a technology for zero latency machine learning and analytics of very large datasets in real time, with a focus on speed, accuracy and simplicity. Originally developed and used successfully in the mobile advertising space, RTDS Inc. is now exploring new verticals with this technology. Examples of the use of this technology will be given in three different verticals: 1- biomedical informatics (brain data, molecular dynamics simulations, genomics), 2 - financial modeling, and 3 - the Internet of Things. The complexities and lessons learned from these verticals will be discussed as well as our thinking of what future research in the space could look like.

Shiva Amiri is the Chief Product Officer at Real Time Data Solutions Inc. (RTDS Inc.) where they are developing a unique real-time machine learning technology for the analysis of massive data in specific verticals including medicine, finance and Internet of Things. 

Prior to RTDS Inc. she lead the Informatics and Analytics team at the Ontario Brain Institute, where they developed Brain-CODE, a large-scale neuroinformatics platform for the management, processing, and analytics of big data in neuroscience across the province of Ontario. Shiva is also the President and CEO of Modecular Inc., a Computational Biochemistry start-up company developing next generation drug screening methodologies. 

She has previously lead the British High Commission's Science and Innovation team in Canada where she was facilitating research, innovation and commercialization between UK and Canada. Shiva completed her D.Phil. (Ph.D.) in Computational Biochemistry at the University of Oxford and her undergraduate degree in Computer Science and Human Biology at the University of Toronto. Shiva is involved with several organisations including Let's Talk Science and Shabeh Jomeh International.