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Natural Language/Machine Learning/Cognitive Learning > Industry Voices

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.

Industry Voices

Voice AI: The Dos, the Don’ts, and What’s Next [Featured on DestinationCRM]

Bridging Speech and Hearing: How Audiology Advances Are Powering Next-Gen Voice Recognition

Advances in audiology are teaching machines to listen and hear similarly to humans, which can increase the quality of voice recognition and other auditory technology.

Why Voice AI Is the Next Frontier in Customer Conversations

Conversational AI is now mature enough to support real, human-sounding voice interaction. (Featured on SmartCustomerService.com.)

Scaling Trust, Earning Customer Love: The Reality of AI Voice Agents

What it really takes to build an AI voice agent that customers trust and on which teams can rely.

From Chalkboards to Chatbots: Is AI the Future of Teacher Training?

Can Real-Time AI Make Your Contact Center More Compliant or More Vulnerable?

Live AI tools offer significant compliance advantages—if your oversight can keep up.

Voice AI Is Fueling Serious Investment Interest

VCs see exciting opportunities for the technology in the B2C and B2B sectors.

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.

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

Customer Support Predictions for 2020

Staying ahead of key trends can be key in helping companies create a personalized customer experience. Here are five key trends that will shape customer support in 2020.

Rethinking Voice in a Digital World

For years, investments in the voice channel have taken a backseat to digital. But thanks to the rise of IoT devices and AI-driven conversational experiences in the consumer realm, organizations must rethink the role of voice.

Video: Enabling Transparency in VUI Design

Grand Studio Lead Designer Diana Deibel discusses multiple approaches to making VUI design transparent--the Google vs. Alexa, system-initiated vs. user-initiated--in this clip from her presentation at SpeechTEK 2019.

Video: Demo: Gridspace Grace Autonomous Call Center Agent

Gridspace Co-Founder and Co-Head of Engineering Anthony Scodary demonstrates Grace, Gridspace's new automonous call center agent, in this clip from his keynote at SpeechTEK 2019.

Video: How to Make Your VUI Inclusive

Grand Studio Lead Designer Diana Deibel discusses best practices for culturally inclusive access in voice UI design in this clip from her presentation at SpeechTEK 2019.