Deep Learning & Accelerating the NLP Journey in the Unstructured World at Credit Suisse
Credit Suisse is looking for a needle in a haystack, and they're using the Elastic Stack to find it. Their deep learning solution is used in the eCommunications surveillance space, operates in the unstructured data space, and leverages GPU technology. The underlying data platform is built on Elastic.
Hear how the Credit Suisse team is leveraging cutting-edge natural language processing (NLP) techniques to surface potential malicious activity by reducing noise and false positives. You'll also see how they're using this deep learning solution to provide emotional and sentiment context.
Director, Global Head of eCommunication Surveillance, Credit Suisse
Global Head of Program Office for Semantic Technology, Analytics, and Machine Intelligence. Jenny spent her childhood in Singapore enjoying the tropical climate, before getting serious and took a degree in maths and economics from the London School of Economics. She then got out of academia and entered the world of finance, where she has done a variety of roles across the Business and Technology before landing in Big Data and Artificial Intelligence.
Lead for Future State Engineering, Credit Suisse
Shahzad leads the Future State Engineering and Innovation stream in the Semantic Technology, Analytics and Machine Intelligence group. Shahzad led the introduction, build and deployment of the strategic Hadoop project to Credit Suisse, now pioneering the Machine-Learning-on-GPUs space and continues to push technical and innovation boundaries.