A Sneak Peak into Enterprise Machine Learning in 2020 - Volume 2

IMPORTANT
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This is the second volume of the fabulous talk from Andrew Ferlitsch a month ago.

In 2017, most companies were in the AI planning phase. In 2018, most transitioned into the exploratory phase. In 2019, companies were moving into production. In 2020, enterprise and large corporations are in full production with some or all aspects of their business. In this presentation, Andrew Ferlitsch, from his vantage position in Google Developer Relations, will cover what they are encountering on the business side of AI, with topics on model amalgamations, automl today, data engineering and meta-learning. The talk is both a mix of business view and technical aspects for a target audience that is a mix of machine learning practitioners and decision makers.

Our speaker covered 3 of 6 sections of his talk last month. Knowledge of first 3 sections is not critical to follow along and understand the upcoming sections (4-6). However, feel free to stop the speaker and ask questions!!

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About the Presenter:
Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations, and formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he has 115 issued US patents and worked on emerging technologies: telepresence, augmented reality, digital signage, and autonomous vehicles. Currently in his present role, he reaches out to developer communities, corporations and universities, teaching Deep Learning and evangelizing Google's AI technologies.