We’ve curated a selection of interesting perspectives from the latest guests on AI at Work. On Episode 34, you’ll hear a roundup of insights on frequently asked questions about the timing and first steps of getting started with AI as well as other useful recommendations that companies can use to strategically leverage technologies, priming themselves to move ahead quickly.
Knowledge-Centered Support is a customer service and support paradigm built around the use of knowledge bases to ensure efficient call resolution and optimal service delivery. But to truly realize the value of Knowledge-Centered Support, your customer service and support teams need a healthy dose of advanced automation.
There are four key tenets of Knowledge-Centered Support:
Let’s start with a moment we’ve all experienced. You’re having an issue with a company’s product. Whether it’s your cell phone, your bank account, or Starbucks mobile account. It’s safe to say you’re not happy, and you’re definitely not over-the-moon-excited to call or chat customer support. You probably don’t have much time, and you’re picturing yourself being shuffled from automated recording to automated recording, eventually screaming into your phone, “Speak to a rep-re-sen-ta-tive!”. Long story short, you want your problem solved as quickly and painlessly as possible.
While AI technologies continue to grow bi-directionally both in the breadth and depth of applications, many companies are at a loss when it comes to figuring out how to get started and how to leverage these advances for their business processes.
Topics: AI at Work
It's the difference between a map and directions, between a recipe and a meal, between sheet music and a song. That's the difference between search results and a real answer to a question, and that difference matters a great deal to customer support teams.
I'm a graduate of the University of Kentucky, which, if you aren't aware, is the winning-est college basketball team of all time. Basketball is a religion at U.K. And since there are no professional sports teams in Kentucky, college basketball is everything. So my favorite time of year has always been the first two days of the NCAA basketball tournament. On those days, games start at noon and, depending on the schedule and how many go to overtime, usually go on for 10-12 hours.
Topics: Company Culture
We've written previously about why allowing AI to capture the "tribal knowledge" of your customer service teams is critical to deriving value from your artificial intelligence solutions, but the value of this practice goes beyond just optimizing customer service. Allowing AI to capture and quantify your "unwritten rules" has wide-ranging benefits for your entire business.
Too often, company contracts can feel like murky waters - unclear and difficult to navigate. To fish out a specific piece of information means manually sifting through large volumes of information, which is time-consuming and painful, to put it mildly.
Topics: AI at Work
According to Forbes’ Predictions For Customer Service In 2019, the two most important things for customers today are convenience and speed. With that being said, the prediction that 2019 will be a record year in AI investment for customer support comes as no shock.
Many artificial intelligence solutions promise to make your customer support teams more efficient and effective, but how do you separate the vaporware from truly valuable AI-for-CS products and services? You use The PAC Framework for Customer Support Teams eBook
The PAC Framework is an AI evaluation tool developed by Talla to help you determine what tasks artificial intelligence software can actually perform, as opposed to what marketing spin and pundit hype suggest is possible. The PAC Framework is based around three types of AI skills: prediction, automation, and classification. These three things are what modern AI software is actually good at.