EVs are evolving into smart, data-driven machines. With real-time telematics, manufacturers now design vehicles based on actual usage, improving performance, safety, and personalization—while ...

This paper proposes a data-driven incipient fault detection framework based on voltage waveform data collected from GPS-enabled power quality monitors deployed across Taiwan’s southern science parks.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

Hara Krishna Reddy Koppolu, a seasoned AI and data engineering expert, believes that customer interactions across industries can be transformed by leveraging an AI-driven data engineering framework.

In this paper, we propose a novel data-driven policy making framework based on TOWS analysis, a well-established method for strategic extraction that systematically integrates internal strengths and ...

Scientists have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial intelligence (AI).

Written by Christina Egea, MVP, Product Management, Enterprise Data, Capital One It’s well known that having plentiful, high-quality data is necessary to becoming a data-driven organization.

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