How to Make Open Source Experimental AI Deployments in the Enterprise

Presented by

Scott Campbell, Senior Offering Manager, IBM Watson and Kelvin Lui, Technical Product Manager

About this talk

Artificial Intelligence (AI) and Machine Learning (ML) became buzzwords in 2018. But only two-fifths (39%) of senior executives believe their organizations are getting the most value out of AI and machine learning according to a RELX Emerging Tech Executive Report, which polled 1,000 US senior executives. The question then before enterprises is how they go from proof of concepts to production by transitioning their ML/DL sandboxes into mission-critical AI deployments. In this webinar, you will learn how to capitalize on an open-source based Enterprise AI platform. It enables: • Elastic distributed Training: Scale GPUs as Required • Drastic reduction of ML/DL Training times: days to hours, hour to minutes • Secured and multi-tenant environment • Larger, more complex model support • Automatic Quality of Service (QoS)

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