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13/5/2021
5 Reasons Why Customer Service Automation Is Vital For Success

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...

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11/5/2021
The Digital Opportunity: Improving Customer Experience

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...

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4/5/2021
AI: A Friend or Foe?

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...

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29/4/2021
A Beginner's Guide to On Premise vs. Cloud Solutions

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...

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21/4/2021
Are Your Customers Happy? Here Are 4 Ways To Find Out

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...

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13/4/2021
Fixing Prediction Confidence in Classification Models

One of the main tasks that modern deep neural networks are used for is classification. Classification datasets are comparatively easy to annotate - typically only one value (a category label) is required per sample of data (like an image or a sent...

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8/4/2021
Natural Language Processing At A Glance

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...

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2/4/2021
Fine-Tuning Transformer-Based Language Models

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...

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26/3/2021
Decoding Intelligent Automation: 4 Key Processes

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...

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22/3/2021
Is Your Support Team Damaging Your Customer Experience?

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...

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11/3/2021
Are You Hearing Your Customers? Sentiment Analysis Can Help

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....

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12/2/2021
Trends in Hyperparameter Searching

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...

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