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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

How is WABTEC leveraging emerging technologies like AI and IoT to enhance its manufacturing processes, as well as improve operational efficiency? IoT software in the machines connected to the sensors gives information on the strength or durability of the brakes while the locomotive is in use.

IoT 98
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Ferrovial puts AI at the heart of its transformation

CIO Business Intelligence

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 105
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What Stands Between IT and Business Success? Data Complexity

CIO Business Intelligence

IT teams grapple with an ever-increasing volume, velocity, and variety of data, which pours in from sources like apps and IoT devices. Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models.

IT 135
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

Have business leaders defined realistic success criteria and areas of low-risk experimentation? Where there are thousands of IoT devices, there are opportunities to deploy AI applications to run on the devices. Here are several factors to consider: Educate business leaders about their roles in ML projects.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Industry 4.0 Example applications: (1) High-definition and 3D video. (2) 2) Gbit/sec Internet. (3)

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible.