Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. What do you recommend to organizations to harness this but also show a solid ROI?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Cloudera

NOVEMBER 14, 2018

Register for our webinar (Thursday November 15 2018). A huge amount of valuable training data is created on hardware at the edges of slow and unreliable networks, such as smartphones, IoT devices, or equipment in far-flung industrial facilities, such as mines and oil rigs. Federated learning in a nutshell. Conclusion.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). That’s most likely a mix of devops, telematics, IoT, process control, and so on, although it has positive connotations for the adoption of reinforcement learning as well.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49