People Analytics and Voice of Employee programs take a data-driven approach to improving productivity and reducing turnover by analyzing employee feedback. This article explains what Voice of the Employee is, why it’s valuable and how to do it.
Stories of AI Failure and How to Avoid Similar AI Fails
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11 m
Don’t fail prey to the AI hype machine. These high-profile stories of AI failure are alarming for consumers, embarrassing for the companies involved, and an important reality-check for us all.
Voice of Customer Analytics: What, Why and How to Do It
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13 m
Voice of Customer programs transform unstructured feedback into usable data. This article dives deep into what Voice of Customer is, where to capture it, and how to build an effective Voice of Customer analytics process to increase revenue and reduce customer churn.
Adding New NLP Capabilities for RPA: Build or Buy?
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7 m
Robotic Process Automation (RPA) is moving towards larger, transformational initiatives. As part of that shift, RPA vendors must improve their natural language processing (NLP) capabilities to support trending text analytics use cases. In this article, we explore your options as an RPA vendor looking to add new text analytics and NLP capabilities to your platform.
Text Analytics & NLP in Robotic Process Automation
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11 m
Robotic Process Automation (RPA) reduces costs and increases profitability by freeing workers to focus on higher-value work. This article explains how text analytics and natural language processing fit into that picture, and why RPA providers looking to add text analytics and NLP into their platform are better-off buying and integrating a solution from an established vendor.
Telematics in Cars and Auto Insurance: Privacy or Savings?
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9 m
Is saving money on your car insurance reason enough to trade away your privacy? We researched how automakers, insurance companies and advertisers use telematics to collect, analyze and monetize data about your driving habits, and why maybe you shouldn’t be so quick to jump on the telematics bandwagon.
Genetics Testing: What Happens to Your DNA Data?
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9 m
26 million people had already used take-home genetics testing kits by the start of 2019. But what happens to your data afterwards? We looked into it and found biotech firms, retailers, law enforcement agencies and others buying and accessing DNA data en masse.
Bias in AI and Machine Learning: Sources and Solutions
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12 m
Bias in AI causes machine learning-based systems to discriminate against particular groups. We investigated why AI bias occurs, and how to fight back.
Fight Organizational Bias with Unstructured Data
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2 m
Efforts to fight organizational bias often fall short. Lexalytics CEO Jeff Catlin explains how to use unstructured data to fight your own company’s biases.
Improve Your Hospitality Analytics with Text Analytics & NLP
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4 m
Hospitality analytics with text analytics and natural language processing (NLP) transforms customer feedback into revenue through useful data and insights.
AI Automation Armageddon: Fact or Fiction?
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3 m
Job losses to AI automation may be as high as 47 percent, some analysts predict. But how accurate are these warnings? Let’s look at the data.
A Brief History of Unicorns in Culture and Technology
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6 m
From Pliny to Palo Alto, join us as we trace the history of unicorns from ancient times all the way through to their modern reinterpretation.
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