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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 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.

What Made AI Mainstream, Part 3: Big Models (Video)

Paco Nathan of O'Reilly Media's R & D Group discusses the role of big models in the commoditization of AI in this clip from SpeechTEK 2018.

What Made AI Mainstream, Part 2: Big Compute (Video)

Paco Nathan of O'Reilly Media's R & D Group discusses the role of big compute in the commodification of AI in this clip from SpeechTEK 2018.

What Made AI Mainstream, Part 1: Big Data (Video)

Paco Nathan of O'Reilly Media's R & D Group discusses the role of big data in the commoditization of AI in this clip from SpeechTEK 2018.

Trending in 2019: Voice Technology and Customer Experience

As we get ready to launch into the new year, we see four over-arching trends driving voice technology and improved customer experience.

Why Are Conversational Interfaces So Difficult to Build? (Video)

Artificial Solutions CEO Andy Peart discusses the complexities of building conversational interfaces that effectively map language in this clip from SpeechTEK 2018.

Best Practices for Active Listening in ASR (Video)

SpeakEasy AI CEO Frank Schneider offers essential tips on using AI and active listening to enhance automatic speech recognition in this clip from SpeechTEK 2018.