Browsing Category
Machine Learning
12 posts
Unpacking Transparency & Trust in Today’s AI Models
What happens when you lead with trust? Unravel the mysteries of AI as we enter the world of…
Amazon’s Alexa? Google’s Nest? What’s The Value of This Technology?
Recent news articles are telling us that the world of the voice assistant is struggling – with the…
Consumer Research: ML vs Statistics Cage-Match
We want to contribute intelligent tools to the consumer research space to help free time for thinking within…
Level Up Your Sales Reps’ Performance With Conversation Intelligence
With AI-powered conversation intelligence technology, sales professionals can access real-time insights and coaching to improve their sales performance without sacrificing the personalized experiences customers crave.
Optimizing Machine Learning to Create a Better Customer Experience
"If you can source your feature data in that kind of a way...I think you can do a really nice, strong job of completing that machine learning puzzle without having to resort to tracking cookies."
AI is Not the Bad Guy
Artificial intelligence (AI) is often lauded as an enemy of the peace: taking jobs, listening in on conversations, and making biased decisions on our behalf.
Navigating the Potholes in Demographic Data ML Models
Biases snuck in from incorporating demographic details without the machine learning developer’s knowledge like in Amazon’s recruitment model.
Machine Learning Trends to Watch in 2022
We’ll go over 9 trends and explain how the latest innovations in machine learning technologies can benefit you and your business in 2022.
Before Jumping to Machine Learning, You Need a Solid Analytics Foundation
It’s enticing to focus on the “bells and whistles” of machine learning and artificial intelligence algorithms that can take raw data and create actionable insights.
How to Drive Customer Engagement at Scale in 2020
AI and a data-driven approach are giving enterprises the means and ability to understand customer engagement in much more profound and timely ways.
When Algorithms Decide Whose Voices Will Be Heard
What if we engineered AI to be faithful to one simple principle: Human beings, regardless of age, gender, race, origin, religion, location, intelligence, income or wealth, should be treated equally, fairly and consistently?
How Causal Inference is Helping Companies Innovate and Grow
Causal inference is a new language within machine learning used to help teams better understand causes and impacts so they can make better decisions.