The industry track of the conference aims to bring together the leading industry and academia practitioners to share their insights, expertise and experiences. We invite original papers describing case studies, experiences and applied research in the areas mentioned above for this track.
The track will consist of three invited talks, a panel discussion and three papers accepted from the submissions. The talks will be of 25 minutes each.
Deep Neural Networks (DNNs) aka deep learning has emerged as a powerful learning tool over the last 7-8 years. The success of applying deep learning in solving problems related to image recognition, speech, NLP has fuelled a lot of interest in industry and academia. A lot of publications in top tier conferences relate to deep learning. Access to platforms (Cafe, Theano, Tensor flow) and hardware have made practice of deep learning relatively easy and widely prevalent. How much of this is hype and how much of it is reality? In this panel we will discuss how useful is deep learning in solving real world problems and when is deep learning the right tool to use, versus traditional AI/ML techniques.The panel would be for 45 - 55 mins depending on the discussion. Participants: TBD
Research Staff Member
IBM Research, India
Co-Founder and CTO at Tricog Health
Data and Analytics Challenges in a Blockchain World