In today’s increasingly connected world, there has been a dramatic shift towards more and more data being shared online.
The struggle to understand slang, dialects and accents continues to put chat ahead of voice as the preferred channel for customer service.
Thanks to technology, the barriers between customers and the brands they interact with have grown thinner than ever.
What product managers should consider in helping to identify the tangible business value of a virtual agent solution.
Companies can use conversational AI as an effective method to streamline internal processes and help employees make the most out of their time at work.
Artificial intelligence has the potential to bring the benefits of automation to a wide-reaching, high-volume industry that is well known for its small margins.
Successfully deploying a virtual agent is a company-wide strategy that needs to start from the top down
With so many conversational AI platforms out there, how can you find the one that’s best for your business?
Conversational AI is designed get to the heart of what customers really want - it could mean the difference between a great experience and them walking away with a less-than-favorable impression of your brand.
Thanks to advances in natural language understanding, conversational AI-powered virtual agents are now able to tackle difficult languages such as Finnish with ease
Conversational AI can help businesses nail that all-important first impression while successfully automating large volumes of online chat traffic
Connecting multiple virtual agents together through a single chat window opens up enormous potential for large organizations.
Has your chatbot project slowed to a crawl? Here’s most likely why…
The good old days of personalized customer service are not gone, they’ve just been upgraded.
As the world becomes increasingly connected, public institutions are turning to new tools and technologies to elevate their services to the community.
We take a look at how conversational AI greatly improves the customer experience by handling users who go “off-script” during transaction-based interactions.
Large banks are already making use of tools that let them automate grunt work and organize the flow of support cases so that they instantly reach the right people.
Building great dialogue for a virtual agent requires finesse and a clear understanding of the needs of your customers.
A case study on how Norway's largest bank, DNB, uses boost.ai's conversational artificial intelligence to enhance their customer interactions.
How it’s possible, by using Automatic Semantic Understanding, to help AI-powered digital advisors go beyond the confines of ordinary chatbots.