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Jean-Cyril Schütterlé
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Jean-Cyril Schütterlé's blog post was featured

Managing the tricky balance between data pooling and data retention with predictive platforms

It’s only when there’s enough representative data from the field they’re applied to, that process automation by Machine Learning technologies can really be harnessed, says Jean-Cyril Schütterlé, VP Product and Data Science at Sidetrade.Likewise, spam detection is most effective when the learning algorithm has been populated with relevant examples.  The steering system of a self-driving car is the same story. It won’t function properly until it has learned to recognise other vehicles and road…See More
Jul 11
Jean-Cyril Schütterlé posted a blog post

Managing the tricky balance between data pooling and data retention with predictive platforms

It’s only when there’s enough representative data from the field they’re applied to, that process automation by Machine Learning technologies can really be harnessed, says Jean-Cyril Schütterlé, VP Product and Data Science at Sidetrade.Likewise, spam detection is most effective when the learning algorithm has been populated with relevant examples.  The steering system of a self-driving car is the same story. It won’t function properly until it has learned to recognise other vehicles and road…See More
Jul 11

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Short Bio
Jean-Cyril combines business acumen with technology literacy to foster digital companies' growth.

I elaborate and execute innovative value propositions, understanding the targeted industries or domains idiosyncracies – growth and profitability drivers, legacy processes, pain points, regulations – and alternative offerings’ positioning.
Jean-Cyril is constantly devising renewed approaches to help blue-chip customers further automate their processes, mine for value-creation opportunities and make decisions, with a particular focus on AI and Machine Learning.
Field of Expertise
Data Science
Your Job Title:
VP Product & Data Science
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Other

Jean-Cyril Schütterlé's Blog

Managing the tricky balance between data pooling and data retention with predictive platforms

Posted on July 7, 2017 at 1:30am 0 Comments

It’s only when there’s enough representative data from the field they’re applied to, that process automation by Machine Learning technologies can really be harnessed, says Jean-Cyril Schütterlé, VP Product and Data Science at Sidetrade.

Likewise, spam detection is most effective when the learning algorithm has been populated with relevant examples.  The steering system of a self-driving car is the same…

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