Technology

A CFO plays a big role in financing a Conversational AI solution, but did you know they can also reap major benefits? Learn the impact that Conversational AI can have on a company's finances in this blog.

Backed by two and a half decades of data-driven technological advancements, AI is now permeating all layers of society. Learn about the evolution in this blog.

Businesses using Conversational AI applications like virtual assistants are experiencing a new benefit: improved agent experience. Read more about how live agents and virtual assistants are better together in our blog.

We hear a lot about the impact of Conversational AI on companies and their customers. But there tends to be an air of mystery surrounding the making of Intelligent Virtual Assistants, or any AI-powered product for that matter. Learn about the people behind the patents in this blog.

While building technology with an in-house team certainly has its advantages, AI implementations require an entirely different set of expertise and domain knowledge than traditional IT projects. Learn about how implementing Conversational AI with a Managed Service offers significant benefits over an in-house or DIY solution.

As businesses try to maintain business continuity with limited resources, many are looking at AI to solve all their problems. But will it? Learn about the 3-pronged approach to examine AI opportunities to ensure they're strategically innovative and can successfully fit into your larger business strategy.

Learn about the types of pricing models that are common for Conversational AI Vendors, and what you can infer about the different vendors based on the models they use.

Recent research shows that customers prefer to interact with conversational AI. While this information is interesting, it’s important to note that there are actual revenue-driving benefits of conversational AI.

We often see people getting first curious and then confused or even scared with the thought of artificial intelligence. This is mainly because we were first introduced to AI via science fiction – like the classic Terminator or the more recent Westworld.

When it comes to machine learning, one size does not fit all. Different algorithms, and different techniques within those algorithms, are used to build a model that is application appropriate. But how do you determine which technique is best? Because machine learning is not a concrete set of algorithms used across the board, it depends on what you are trying to achieve.

Press 1 for lower CSAT, 2 for lost revenue We have all been on the receiving end of this ancient customer service technology. “Press 1 for sales, 2 for billing, 3 for something else…”. Dual Tone Multi-Frequency Touchtone dialing (DTMF) presents a list of menu options to choose from and directs your call accordingly.

When it comes to enterprise customer care, machine learning enables Virtual Assistant solutions to automate tasks that used to require a live agent: password resets; address and complex information collection; even sales support. Integrating machine learning into enterprise customer care opens doors to more flexible automated solutions.