Machine Learning Put To Use in the Enterprise

BigML News, Issue #94, September 2021

Hi <<Full Name>>,

The BigML platform keeps making an impact by enabling many predictive use cases and solutions in a multitude of industries. In case you were unable to attend our recent virtual events showcasing these real-life examples, we have compiled the following videos explaining how Machine Learning is currently being put to use in areas like Mobility, GRC (Governance, Business Risk Management, and Compliance), as well as on low-power devices (EdgeML).

Machine Learning in the Mobility Industry, by Atakan Cetinsoy, BigML.

Transforming Road Operations and Mobility with Computer Vision, by Ángela Montánchez, Innovation Manager at Openvia Mobility by Globalvia.

Business Value of IoT and Machine Learning in Logistics, by Francis Cepero, A1 Digital.

Embedded Machine Learning: Damage Detection in Rail, by Dieter Mayr, A1 Digital.

Machine Learning in the Governance, Business Risk Management, and Compliance Sector, by Atakan Cetinsoy, BigML.

The Identity Risk and Cost Insights Platform for C-level Executives, by Jon Shende and Jaymin Shah, MyVayda.

Supporting Human Decision Making for Regulatory Adherence with Machine Learning, by Thomas Alderse Baas, Bowmen Group.

Machine Learning in Legal Automation: How to Trust a Lawyerbot, by Arnoud Engelfriet, Lynn Legal.

Learn how the BigML partner, A1 Digital, has deployed predictive maintenance models in an EdgeML context for a railroad transportation company in Europe.

Meet the professors that are changing the business landscape by introducing Machine Learning to a new generation of leaders that are determined to automate business processes. Find out how they bring Machine Learning to their classrooms by covering use case examples and the different levels of maturity effective organizations can reach.

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