A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time.

Based on the characteristics of behavioral patterns, this paper constructs a data-driven knowledge discovery framework for smart education management. The aim is to realize automatic education effect ...

Anthropic is unveiling a financial sector-specific Claude version that will tackle data connectors and added rate limits for analysts.

Take advantage of the MethodImplAttribute class in C# to inline methods and improve the execution speed of your .NET applications.

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

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

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 the era of hyper-uncertainty, the demand for data-driven policy making has grown significantly, as it enables the fast and accurate capture of complex phenomena. This contrasts with conventional ...

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).

Sanket Deshmukh, associate professor in chemical engineering, and his team have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the ...

I am optimistic about the ability of AI-driven data integration to fuel a smarter, safer and more efficient oil and gas industry.

HBR On Strategy / Episode 100 The Right Way to Make Data-Driven Decisions Listen | Podcast loading... Your data is only as good as how you interpret it.