The core of vertical AI for the energy sector is its ability to extract and apply domain knowledge to vast, complex datasets.

With data, analytics and predictive modeling, companies can reduce the blind spots that currently hold them back.

For the first time, the 40%+ of companies that earn revenue from data can safely show buyers and AI systems an interactive, AI-ready version of their datasets without sharing raw data or requiring ...

Much of the conversation around AI in marketing has centered on creativity and media buying. Yet these are only the most ...

Upgrading your data center with AI and machine learning and the latest optimizations can mean the difference between budgeting for yet another cost center and making an investment that adds real value ...

When it comes to data use in schools, our rhetoric outpaces reality. Even though many school districts lay claim to data-driven instruction, too often the expression serves only as a convenient slogan ...

Not all data is created equal. Unlike structured data, which resides in well-defined fields and tables, unstructured data ...

Prior to the internet revolution, companies were often valued based on their tangible assets. An energy company could receive a multiple based on their oil and gas reserves, or a manufacturer based on ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

(WGHP) — There is a strain of thinking in America that says you can’t count on the federal government. But there are some ...

Nearly three-quarters of manufacturing managers worldwide consider data sharing to improve their operations. In a recent study, the World Economic Forum, in collaboration with Boston Consulting Group ...