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GTC ON-DEMAND

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Abstract:

The Bloomberg Terminal provides data, analytics, news, information, and communication for professionals in business, finance, government, and philanthropy. We'll discuss how we're using our internal machine learning platform to apply advanced AI and GPU-Accelerated compute to dozens of domains such as NLP, computer vision, time-series analysis, and personalization. We'll tackle the challenges involved in building a machine learning platform from scratch, and we'll introduce several machine learning projects at Bloomberg. We'll also explain how we convinced management to invest in scaling our ML infrastructure and how we evaluated and designed the core components of our ML platform. In addition, we'll review how our ML platform has changed our developer workflows and helped them solve real-world problems.

The Bloomberg Terminal provides data, analytics, news, information, and communication for professionals in business, finance, government, and philanthropy. We'll discuss how we're using our internal machine learning platform to apply advanced AI and GPU-Accelerated compute to dozens of domains such as NLP, computer vision, time-series analysis, and personalization. We'll tackle the challenges involved in building a machine learning platform from scratch, and we'll introduce several machine learning projects at Bloomberg. We'll also explain how we convinced management to invest in scaling our ML infrastructure and how we evaluated and designed the core components of our ML platform. In addition, we'll review how our ML platform has changed our developer workflows and helped them solve real-world problems.

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Topics:
Finance - Deep Learning, AI Application, Deployment & Inference
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9810
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