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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

2023 Vertical Markets Spotlight: A Speech Technology Special Report

Our roundup of the speech innovation taking place in eight important industry verticals.

2023 Vertical Markets Spotlight: Speech Technology in Consumer Electronics

Interoperability's been the biggest challenge, but standards are emerging.

2023 Vertical Markets Spotlight: Speech Technology in Financial Services

Rise in voice banking requires a rise in voice-based support, verification, and AI.

2023 Vertical Markets Spotlight: Speech Technology in Government

Public-sector entities can improve customer service, delivery of benefits and services, efficiency, transparency, and more.

Industry Voices

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.

Making our Voices Heard: The Growth of Voice Recognition During the Pandemic 

Voice technology has allowed people to stay connected, and the best is yet to come.

Columns

AI Is Making UCC and the Contact Center into an Increasingly Powerful Combo

Teaming up these AI-fueled solutions yields a variety of shared capabilities and benefits.

Conversational Assistants’ Next Step: Communities

As the apps become more ubiquitous, they'll need to interact.

It’s Time to Cross Speech Tech’s Annoying Valley

Face it: IVR systems are almost all annoying.

When Conversational Assistants Meet: Delegating, Mediating, and Channeling

How can voice assistants be made to cooperate with each other?

Speech Technology Reports and Research

Learn How to Reduce Overhead Costs by 62% While Improving Output by 2x

Sponsored by Observe.AI

Case Study: Learn How to Achieve Above 90% Improvement in Call Categorization

Sponsored by LumenVox

Why Voice Matters for Trust and Engagement

Sponsored by WellSaid Labs

Using Speech Analytics to Monitor and Improve Agent Performance

Sponsored by Observe.AI

Natural Language/Machine Learning/Cognitive Learning Companies and Suppliers