Attention and excitement around artificial intelligence (AI) has increased substantially within the past few years. This has sparked initiatives within large enterprises to leverage the new technology to drive their bottom line. The development, implementation, and execution of impactful AI within enterprise currently has a low success rate, as many initiatives don't make it past the proof of concept phase. There is a small number of cases where AI has been implemented to save or generate millions of dollars for a large enterprise. Instead, AI has mostly been used for its name as a marketing tool to generate attention.

This talk will go over some of the unexpected challenges of using novel technology within large enterprises, from security to validation. It will also cover some of the lessons learned, as well as some general principles to ensure successful AI initiatives within enterprise. There will be some discussion about where the industry is lacking now, and what a forward looking AI initiative will include. Finally there will be talk about the interplay between industry and academia.

Speaker Bio

There will be two speakers for this talk.

Ragavan Thurairatnam is a co-founder of DeepLearni.ng and has over 5 years of experience in applying deep learning across a number of industries, including agriculture, retail banking, insurance and other financial institutions. His achievements include deploying the first production deep learning system in retail banking and building one of Canada's most recognized AI companies. Ragavan has solved complex business problems with a variety of techniques including bayesian deep neural networks, active learning, and multi-task learning

Ragavan learned the ropes of entrepreneurship at Canada's prestigious NEXT 36 program. He studied Computer Engineering at York University's Lassonde School of Engineering.

Hashiam Kadhim is a Lead Machine Learning Engineer at DeepLearni.ng, where he brings advanced knowledge of deep learning and skill dissecting the latest research and techniques to the team's enterprise engagements. Hashiam has years of experience using deep learning to solve problems in several industry verticals including healthcare, finance and insurance. His technical expertise was first cultivated at the University of Toronto, where he achieved a Masters of Science in Pure Mathematics focusing on probability and stochastic PDEs.

In his first year at DeepLearni.ng, Hashiam has been at the forefront of multiple client deployments that have generated millions of dollars in value. He has also played a pivotal role in establishing DeepLearni.ng as the first Canadian partner in NVIDIA's prestigious deep learning partnership program.