February 11, 2020

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Industrialize Data Science and Machine Learning

Industrialize Data Science and Machine Learning

The pace of business disruption is accelerating, meaning todays organizations need to become more data agile in order to compete and innovate. Its no secret that big data initiatives are becoming mo …
Talk Title Industrialize Data Science and Machine Learning
Speakers Amine Slimane
Conference Automotive Linux Summit & Open Source Summit Japan
Conf Tag
Location Tokyo, Japan
Date Jun 19-22, 2018
URL Talk Page
Slides Talk Slides
Video

The pace of business disruption is accelerating, meaning today’s organizations need to become more data agile in order to compete and innovate. It’s no secret that big data initiatives are becoming more pervasive. But in order to process this vast amount of data, companies need data science and machine learning to find valuable insights. As they move to build smart applications powered by big data and IoT, new challenges are arising including how to move data science and machine learning into production. Oftentimes it is a laborious, manual-coding process that can take up weeks or months. In this session we’ll discuss how you can: • Pre-process data in order to train data models • Operationalize data science and advanced analytics • Embed machine learning into real-time big data projects to accelerate time-to-insight

data model data science agile analytics big data machine learning
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