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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 94
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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). 2) Gbit/sec Internet. (3) Industry 4.0 Example applications: (1) High-definition and 3D video. (2)

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

CIO Business Intelligence

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale.

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

CIO Business Intelligence

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. Not for experiments For a company like Svevia, there’s no room for experimentation, underlines Wester. “We

Risk 90
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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI? We have undertaken small pilot projects last year under IoT, which have been scaled to more production lines. We need to define our business objective before adopting those new tools, because AI is simply algorithm.

IT 94
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. However, it is far from perfect, since it certainly does not have reasoning skills, and it also loses its “train of thought” after several paragraphs (e.g.,

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Next, let’s go back to the NHL use case where they combine IoT, data streaming, and machine learning.

IoT 56