Remove Experimentation Remove IoT Remove Risk Remove Testing
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Full Steam Ahead: CIO Kopal Raj of WABTEC on staying ‘on-track’ with AI, IoT and sustainability goals

CIO Business Intelligence

Our products are sometimes tested for a year before being launched in the field. How is WABTEC leveraging emerging technologies like AI and IoT to enhance its manufacturing processes, as well as improve operational efficiency? Designed to be under high stress and duress, we monitor them for temperature, pressure, and other parameters.

IoT 86
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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis.

Risk 81
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models. Have business leaders defined realistic success criteria and areas of low-risk experimentation? Are data science teams set up for success?

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

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. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250