How to Make Open Source Experimental AI Deployments in the Enterprise

Presented by

Scott Campbell, Senior Offering Manager IBM Watson . 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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