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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

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.

Video: How to Interpret the Transaction in Every Conversation

Gridspace Co-Founder and Co-Head of Engineering Anthony Scodary discusses the transactional nature of speech and how that understanding impacts effective, AI-driven call center analytics in this clip from his keynote at SpeechTEK 2019.

Video: 6 Ways to Improve VAs via Better Language Understanding

Conversational Technologies Principal Deborah Dahl lays out a plan for making more virtual assistants more effective in this clip from her keynote at SpeechTEK 2019.

Video: The Current State of Conversational Systems

Conversational Technologies Principal Deborah Dahl discusses the state of the art for the three pillars of conversational systems in this clip from her keynote at SpeechTEK 2019.

Video: More Targeted Knowledge Can Improve Today's VAs

Conversational Technologies Principal Deborah Dahl explains how more targeted enterprise knowledge could make VAs more effective in organizations in this clip from her keynote at SpeechTEK 2019.

Video: How to Leverage Text-Independent Biometrics

Nuance Communications' Roanne Levitt delineates the differences between text-dependent and text-independent biometrics and what the advent of text-independent means for IVR applications in this clip from SpeechTEK 2019.

Avoid Being Fooled by Parlor Tricks: The Necessity of Real-World Environment Testing for ASR

Voice assistant's ability to perform in varied, and often difficult, sound environments will be a key pillar for the sector's success. The sheer scale of distribution for voice assistants means they are going to be used in many different situations and environments, many of which require them to adapt to the variability of the scenarios, which is a huge risk for this emerging market.

How Text Rank Enables Extractive Summarization (Video)

Paco Nathan of O'Reilly Media's R & D Group discusses the merits of the emerging Text Rank initiative in leveraging data in NLP in this clip from SpeechTEK 2018.