API World + AI DevWorld

IBM Watson Deep Learning as a service (DLaaS), a cloud-based deep learning platform that provides a deep learning software stack with leading edge GPU hardware for cloud environments in a secure, scalable and fault-tolerant manner. It supports a wide range of deep-learning frameworks such as Tensorflow, PyTorch, Caffe, Torch, Theano, and MXNet etc. These frameworks reduce the effort and skill set required to design, train, and use deep learning models.  DLaaS is running in 14 production data centers in multiple regions such as Tokyo, South Korea, Sydney, Frankfurt, London, Washington DC and Dallas providing Deep Learning service capabilities to customers worldwide with 24X7 availability. The DLaaS DevOps process is fully automated to provide updates to all data centers in a timely and zero down-time fashion. DLaaS is being used by many customers as well as Watson services such as Watson Assistant, Visual Recognition, Natural Language Classifier and Speech Recognition etc.

This talk will introduce you to DLaaS and Watson services built based on DLaaS. It will introduce how you can leverage DLaaS to build your deep learning model in a timely manner and leverage Watson technologies to build your AI applications.