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Overview for AI

Running Massively Parallel Deep-Learning Inference Pipelines On Kubernetes Martin Abeleda & Suneeta Mall, Nearmap

Nearmap captures terabytes of aerial imagery daily. With the introduction of artificial intelligence (AI) capabilities, Nearmap has leveraged Kubernetes to generate AI content based on tens of petabytes of images effectively and efficiently. Martin Abeleda and Suneeta Mall from Nearmap discuss how using Kubernetes as the backbone of their AI infrastructure, allowed them build a fully automated deep-learning inferential pipeline that despite not being embarrassingly parallel is actually massively parallel. This talk also explains the architecture of this auto-scalable solution that has exhausted all K80 spot GPUs across all US data centres of AWS for weeks. 

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AI in practice: how we help cure diseases using Big Data and AI - Chen Admati @ Intel (Hebrew)

Chen Admati (Head of Intel Pharma Analytics Platform at Intel Corporation), discusses AI in practice and how we help cure diseases using Big Data and AI

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How Malwarebytes Leverages Big Data, AI

In this talk Sujay Kulkarni Manager, Data Engineering at Malwarebytes discusses how Malwarebytes leverages big data, AI and the cloud to protect millions of companies and individuals globally from the world’s most harmful internet threats and malware. They collect billions of records each day on a millisecond by millisecond basis, and apply advanced machine learning and AI to identify and profile harmful threats and their sources. 

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How artificial intelligence is changing advertising in China

In this talk Bessie Lee and Ching Law take you through how AI is changing advertising. You will learn how China’s white-hot AI advertising applications can serve as roadmaps and spark ideas in other industries and how companies like Tencent are improving performance by leveraging AI technology. Tencent reaches more than 800 million active daily users, who share interesting contents and browse business updates on a diverse portfolio of quality platforms, such as WeChat, QQ, QZone, and many affiliated third-party apps.  

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