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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 98
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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

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. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250
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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 98
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What Heineken’s CIO is brewing for better connectivity

CIO Business Intelligence

The firm’s connected brewery IoT platform, for instance, is being used for data ingestion and edge computing in breweries, enabling local teams to analyze, adjust, test and optimize production processes, with this in-turn allowing operations to leverage real-time and historical data to support the workers on the shop floor.

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The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 300
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Machine Learning Integration Options

Paul DeBeasi

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. IoT is one of the most disruptive forces organizations must contend with today.