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As humans, everything we express, whether verbally or written, holds enormous amounts of information. The subject we choose, our selection of words, the tone, and pretty much everything else adds some information that can be socially interpreted a...
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Companies that deliver remarkable customer service do so purposefully by creating successful customer service strategies. A customer service strategy is the base for each thriving service culture and includes a thorough plan to handle different cu...
In these times, automation is everywhere around us—from reserving a place to stay while on vacation to ordering a late-night meal and booking a ride to go to work. Slowly but surely, automation has infiltrated nearly every single industry, and cus...
Not that long ago in the traditional marketing world, companies introduced a product and did some radio, TV, and magazine ads about it. Then customers went to physical stores to choose among brands and purchase the product. Well, that chapter of c...
Artificial Intelligence (AI) is used to describe a variety of technologies that enable computers to learn and solve problems in a manner similar to humans. This technology includes, but is not limited to, machine learning and natural language proc...
On premise software is the traditional strategy for hosting technology solutions. In an on-premise environment, software and infrastructure reside in-house. This means that businesses are responsible for managing and maintaining their own hardware...
Customer engagement is the process of interacting with customers through various online and offline channels in order to strengthen your relationships with them. Fully engaged customers account for a 23 percent increase in terms of profitabilit...
At Y Meadows, one of the main components of the AI are classification models, which will categorize incoming messages into predetermined categories. Learn more about how we optimize our solution for accuracy.
Natural Language Processing (NLP) encompasses computer science, human language, and artificial intelligence in an attempt to close the gap between human communication and computer understanding.The purpose of NLP is to train machines to understand...
Transformer-based language models have revolutionized the NLP space since the introduction of the Transformer, a novel neural network architecture, in 2017. Today, the most advanced language models heavily rely on transformers and are now consider...
All transformative technologies come with a problem—they are really difficult to explain. Try explaining to a communications mogul from the past century that people in 2021 will not only communicate through their tiny slabs of glass they can carry...
Today, we are in an age of business dubbed the “Age of the Customer”. Businesses today are more focused on customer experience than ever before. Customers interact with your business through your customer support team. Your agents are how your cus...
Today, it is easier than ever for customers to communicate with businesses. In fact, a study conducted by Statista in 2020, revealed that 58 percent of Americans surveyed had contacted some form of customer service over the prior one month period....
If you’ve ever trained an ML model from the scikit-learn python library, you’ve probably noticed that each model has certain options that can be specified prior to training. For example, the Decision Tree classifier lets you specify how many featu...
For the past two years, the “transformer” architecture has achieved state-of-the-art performance on most benchmark NLP tasks. A transformer model considers the entire input sequence of text at once - rather than one word or character at a time - a...
When machine learning models are trained to perform a particular task, we usually collect a set of samples, the “test set”, that is representative of the task at hand in order to measure the model’s performance. If there are any limitations on th...
