Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Computer vision (sometimes called machine vision) is one of the most exciting applications of artificial intelligence. Algorithms that are able to understand images – both pictures and moving video – ...

In this special guest feature, Paul Nelson, Chief Architect at Search Technologies, discusses his top 5 essential steps for tackling a Big Data project using Natural Language Processing (NLP) and also ...

Artificial intelligence promises to help humans carry out everyday tasks faster and quickly solve problems that they have been too big for humans to tackle. But ironically, the building that AI can ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Forbes contributors publish independent expert analyses and insights. I write about contemporary cybersecurity and online privacy issues. Integrating computer vision technology is a big step forward ...

The global Natural Language Processing (NLP) market size is expected to reach USD 98.05 Billion at a steady revenue CAGR of 25.7% in 2030, according to the latest analysis by Emergen Research. The ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

API integration enables real-time processing. When a document enters the system through email, mobile upload, or scanner, an API call triggers the extraction process. The AI returns structured data ...

In an era dominated by voice-controlled devices, voice assistants have transformed how we interact with technology. These AI-driven systems, which leverage natural language processing (NLP), allow ...