Where do you work in a day? It’s probably not a short or simple answer. Support teams are constantly jumping between email, chat, ticketing systems, an internal knowledge base, and many other places. What they don’t need is another tab open. That’s why having Talla everywhere is so important to us. What does that really mean? Simply put, users have access to all of the information in Talla wherever they work. We want to improve your productivity and lower your time to resolution with AI-powered automation. The best way to do that is to ensure that Talla works within your existing workflows.
Artificial intelligence is powered by well annotated training data, but the data you need to train a customer support assistant includes more information than you might expect. The "tribal knowledge" of your customer support teams is critical to developing a customer service AI agent that can most effectively help your business.
We've all had interactions with clunky or incoherent chatbots that made their owners look dumb, but few companies know what steps to take to ensure their own bots don't make the same mistakes. Before you entrust a chatbot to help with customer service and support, make sure you've given it the tools it needs to avoid embarrassing itself.
We’ve written about how AI use is expanding across the enterprise and early-adopters are leaving the competition behind.
We’ve shared how AI is a superpower for customer support execs facing the daunting task of delivering scaled, personal and cost-effective support.
In an advancing digital-first world, customer support’s business imperative is a tough one: deliver customer satisfaction that can scale across thousands or millions of interactions at significantly lower cost. Trying to achieve this with a “business as usual” approach won’t work. But by unleashing AI and automation in their businesses, customer support executives can actually deliver on this.
Many pundits suggest that artificial intelligence solutions will soon occupy the same place in business technology as Software-as-a-Service (SaaS) applications do today -- but most fail to note that the process of buying AI is very different from buying SaaS.
Artificial intelligence, much like human intelligence, is only as good as the education it receives. That's why training data -- the information used to "teach" deep learning algorithms how to perform complex tasks -- is key to AI success.
Customer support representatives have a challenging job that sometimes requires superhuman patience, speed, and product knowledge to handle -- to the point that many support teams struggle to close calls at an efficient rate.
The phrase "artificial intelligence is like lily pads in a pond" sounds like a really bad Zen koan, but it is an important concept for properly setting expectations with modern AI solutions. If you expect your business AI solution to be awesome on Day 1, you're setting yourself up for disappointment and, possibly, failure. The lily pads explain why.