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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

Speech Technology Inches Closer to the Edge

An emerging computing paradigm, edge computing, promises to improve response time, lower costs, and enhance security, but the ecosystem is immature.

The Speech Industry Eyes Another NLP (Neuro-Linguistic Programming)

Neuro-linguistic programming can alter the way companies communicate with customers.

Seniors Increase Use of Assistive Speech Tech

The growing aging population is a market ripe for voice-enabled technologies.

2021 State of the Speech Technology Industry

The latest developments and trends in seven important sectors

Industry Voices

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.

What Brings Virtual Conversations to Life?

Speech recognition must be dynamic and adapt to real-time dialogue shifts to best serve customers.

Voice Is Enterprises' Next Interface

Voice remains the sturdiest bridge between employees, customers and enterprises, and that's why it will continue gaining momentum and prove to be the next critical interface.

Transforming Customer Interactions with Conversational Insight

Columns

The Microsoft-Nuance Alliance: A Curative for Caregiver Conversations?

Nuance's enhanced cloud offerings could aid healthcare-focused analytics

Self-Service Is the Channel of Choice—When It Works

Companies are not benefiting from the shift in preference as much as they should be

Speech Is Up for Any Challenge

As consumers' interactions shifted to digital channels, voice has become the interface of choice for many of those interactions.

We Need Answers: Conversational Systems and Answer Technology

Digital assistants are getting better all the time, and answer technology needs to keep pace

Speech Technology Reports and Research

Voice Biometrics for Agent / Caller Identification and Verification

Sponsored by Spitch

Omnichannel Virtual Assistant and Using Conversational Analytics in the Discovery Phase

Sponsored by Spitch

Learn How to Achieve Stronger Productivity with AI!

Sponsored by Observe.AI

Natural Language/Machine Learning/Cognitive Learning Companies and Suppliers