Now’s the time to reevaluate the role of voice
Voice innovations that power great customer
May 17, 2018
Is artificial intelligence healthcare’s new nervous system?
AI clinical documentation helps healthcare executives realize financial improvements
February 23, 2018
Human-Machine-Interaction: Making friends with your automotive assistant
Looking behind the scenes of the latest automotive user experience generation in the market
February 2, 2018
How artificial intelligence is helping you get closer to owning your dream droid
What it means to understand human language
December 14, 2017
Artificial Intelligence: What’s hot beyond buzzwords…
Reflections on AI Summit, San Francisco
October 17, 2017
The AI of “Terminator” – fact or fiction?
Will AI ever rule the world?
August 29, 2017
Nuance Research Conference 2017: Reflections on Deep Learning and AI innovation
Keynotes from John Searle & Barbara Grosz inspire Nuance’s global voice, AI research teams
March 14, 2017
Dragon, do you speak my dialect?
Once divisive, now unifying, dialects play an important role in defining who we are
January 26, 2017
Mythbusters: Solving 5 mysteries around virtual assistants
What’s science fiction and what’s reality
November 14, 2016
Winograd Schema Challenge: Can computers reason like humans?
Results from the inaugural Winograd Schema Challenge unveiled at the IJCAI-16 in New York
July 13, 2016
Part 2 – AI for customer care: Turning ‘bags of words’ into meaning with machine learning
Machine learning and AI turn big data into big knowledge for a better customer experience
May 18, 2016
How many Neural Nets does it take to catch the big fish in Machine Learning?
NLU and AI innovation goes deeper so machines can understand human language
March 9, 2016
Getting “deep” about “deep learning”
A detailed exploration of deep machine learning, a concept rooted in metaphors
June 10, 2015
Asking “Why not?” instead of “Why?”
Using artificial intelligence in healthcare to turn vision into reality
March 29, 2018
Assistants here, assistants there, assistants everywhere
Why automotive assistants serve user’s needs better than any other virtual assistant
February 16, 2018
Nina for Google Home: The ultimate enterprise smart home hook-up
Nina for Google Home Extends AI-Driven Customer Service to the Popular Smart Home Device
January 30, 2018
Radiology: The next frontier for machine learning
Harnessing AI for improved patient care
November 30, 2017
Waiting on hold will soon become a thing of the past
AI: bridging the gap between consumer demands and strained contact centers
September 18, 2017
What’s my line?
The changing role of the customer service professional
April 28, 2017
Webinar: Plan now for digital customer engagement trends in 2020
Strawberry fields forever: Sow the digital customer engagement you want to reap
March 3, 2017
2017 customer service predictions: The year AI drives market share
How artificial intelligence will inspire customer trust, loyalty, and increased spend
January 19, 2017
Omni-channel customer engagement creates context across interactions
Cost-effectively improving service, driving sales and building brand loyalty
September 27, 2016
Hearing is like seeing – for our brains and for machines
How CNNs developed for image recognition help with ASR and NLU, too
June 30, 2016
Part 1 – AI for customer care: Human assisted virtual agents get smart with big knowledge
Machine learning and AI turn big data into big knowledge for a better customer experience
May 11, 2016
Taking a pause to discuss speaker variation… and Machine Learning
New research observes variation in communication to abstract meaning
November 23, 2015
Why “innovation” doesn’t always have to be new (or at least on first sight)
Decades old concepts give light to revolutionary innovations
June 10, 2014
How the machines will adjust to us: A short story about “conversational AI” growing up
The evolution of conversational artificial intelligence
March 1, 2018
Why Punxsutawney Phil should not be the norm for prediction in customer service
Learnings from legends for predictive customer engagement
February 2, 2018
Become the psychic for your customer service
How artificial intelligence can be used to predict your customer’s intent
January 19, 2018
Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo: Part 1 of What’s left to tackle in voice technology
Automatically generating dialog for conversations is a complex problem to solve.
November 21, 2017
For CSPs, sweating the small stuff can pay big dividends
How small changes in subscriber engagement add up to big revenue for CSPs
September 6, 2017
Demystifying artificial intelligence
What’s AI and how can companies can use it to improve customer service?
March 16, 2017
1,000 years of emoji history and what Machine Learning means for its future
A look at emoji: how they’ve changed over time and where they are going
February 13, 2017
RSNA16: Top 3 trends improving radiology workflow
Emerging technologies elevating the value of radiologists to the healthcare enterprise
December 2, 2016
How will patient-centered care change the role of radiologists?
Leveraging tools and technologies to improve care quality in less time
August 31, 2016
Part 3 – AI for customer care: Using Machine Learning to solve customer requests
Turning big data into big knowledge for better customer service
June 7, 2016
Then and NAO: Bringing conversational robots to homes, hotels, and hospitals
Aldebaran's NAO and Pepper show the power of specialized voice experiences for robotics
April 26, 2016
Innovating machine dialog: Brush up on your Greek and read Aristotle
Building systems that can make sense of Rhetoric and nuanced speech
July 27, 2015
Can we build ‘Her’?: What Samantha tells us about the future of AI
The journey to making virtual assistants more humanlike
February 21, 2014