Obtain trustworthy AI solutions for enterprise with more transparency

Presented by

Guillaume Hervé, CEO, Co-Founder at Zetane Systems Inc.

About this talk

Commercial application of the subdomain of AI known as machine learning is in a state of solid growth, where interest in applying the technology within new domains is at an all-time high. Though demand is great, studies demonstrate that over 85% of AI projects do not make it to production and lack management buy-in. One main reason is that our abilities to understand the technology remain at an early stage of development and this inhibits the broader application of “mysterious black-box algorithms” in society. Here we describe our tactics to overcome this challenge by providing machine learning practitioners and data scientists with software tools that provide greater transparency and more intuitive visuals of machine learning models. In addition to providing means to streamline the production of AI products, detailed visuals with rich analytics provided by our next-generation of software tools open new strategies to understand, explain, test and audit machine learning products. Tailored to a general audience of technology professionals and enterprise business leaders, the chief executive officer of Zetane will demonstrate these visuals of AI and our software tools during the discussion. Additional topics covered will include how Zetane leverages open-source standards to promote innovation in machine learning and the company’s recent patent of an innovation that helps power unique features of software and hardware used in the field. Audience members will have the opportunity to download the free software demoed in this presentation so they too can view the internal workings of popular machine learning models used in research and enterprise.
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