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Natural Language/Machine Learning/Cognitive Learning

Natural language, machine learning, and cognitive learning are the technologies that underly most Artifical Intelligence applications. Natural Language Processing (NLP) helps computers interpret and manipulate human language; Machine Learning (ML) provides systems the ability to automatically learn and improve without being explicitly programmed. Cognitive Learning (CL) combines ML and NLP. See below for the latest news and trends in NLP, ML, and CL.

Features

2024 State of AI in the Speech Technology Industry

How generative (and other types of) artificial intelligence is impacting five important sectors.

2024 State of AI in the Speech Technology Industry: GenAI-Fueled Speech Analytics Enable Real-Time Results

The insights come faster and are more comprehensive

2024 State of AI in the Speech Technology Industry: AI’s Impact on Natural Language Processing

Speech systems will continue to get more conversational with AI advances.

2024 State of AI in the Speech Technology Industry: AI Is Enabling Audiovisual Enhancements

Voice and video creation tools continue to benefit from AI augmentation.

Industry Voices

Generative AI Will Redefine Crucial Work Skills, but It Can’t Replace Human Expertise

GenAI signals new possibilities, and it's inevitable that certain tasks will be automated. But humans won't be replaced; instead, their roles will be elevated.

Uncover Hidden Gems in Your CX Data with AI by NICE

The Need for Continuous Speech Recognition Testing

Conversational AI and voice have to be tested to ensure that they work flawlessly.

The Risks Posed by Biases in Voice and AI

Artificial intelligence is still a novel concept with its own unique benefits and flaws. This is how it will integrate into sales, marketing, and customer interactions.

Columns

Large Language Models Will Transform Conversational Assistants

Thanks to generative AI, conversational assistants will become everyday helpers.

From Agent Assist to Employee Assist

Copilot apps are proliferating, and they mean business.

Interoperability Benefits Everyone, So Everyone Should Get Behind It

While the need to improve interoperability is clear, a lot of work must be done to forge a comprehensive set of standards.

A Perfect Storm of Speech Technologies

Now's the time to consider what new applications might be possible.

Natural Language/Machine Learning/Cognitive Learning Companies and Suppliers