Technology

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Making Natural Language Processing Feasible with Artificial Intelligence

In the past we discussed the technological and the financial challenges that go hand-in-hand with developing natural language processing (NLP) applications. While these challenges remain relevant, more recent developments mean it’s easier and less expensive to incorporate natural language processing into your voice channels. Thanks to artificial intelligence (AI), companies can manage NLP apps more […]

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AI is as AI Does: Managing Expectations When Buying Artificial Intelligence Technology

Expectations are a funny thing. In this space, we talk a lot about customer experiences because expectations often play a big role in that area. Some industries are known for atrocious customer service. These negative experiences have created an expectation of poor service from providers in that industry. These views can be so entrenched that

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The Limitations of Automatic Speech Recognition & How to Combat Them

Automatic Speech Recognition (ASR) is pretty cool technology. Simply say something and a machine will do what you ask it to do. Usually. When an ASR grammar is tuned properly and the call conditions are good, ASR works really well. Unpacking that last sentence should help you understand a bit more about ASR, how it

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How to Get More From Your IVR with AI

How AI Delivers Better IVR When you hear artificial intelligence (AI) and interactive voice response (IVR) in the same breath you may scratch your head and wonder, “how does that work?” Using an AI engine, like IBM’s Watson, with an IVR system creates smarter self-service applications and delivers better customer experiences. With IVR callers have

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Fraud Prevention Software – IVR Security

What is Fraud Prevention Software? Fraud prevention software is a type of technology used to identify and prevent fraudulent activities, such as unauthorized financial transactions, identity theft, and other types of scams. It leverages advanced AI-algorithms, machine learning and data analysis techniques to analyze patterns, anomalies and inconsistencies in data to detect potential fraud. Basic

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Case Study: Mobile Software Company Improves Customer Service with Plum IVR

A leading mobile software company (MSC) in Canada uses Plum products to power their customer service offerings. As a company that offers an array of digital products with over 100 million users all over the globe, MSC needed a solution that had multi-language support. As a company that deals with digital products in its own

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