Talla, a Boston-based AI-powered customer service platform, announced today that Frank Speiser is joining the company as CEO. Speiser joins from his previously successful role as Co-Founder of SocialFlow, the world's largest machine-learning enabled content distribution software and has decades of experience building complex enterprise-class products.
What is Knowledge-Centered Support?
Knowledge-Centered Support is the industry buzzword for a very basic but often overlooked idea: Once you find a solution to a customer's problem, write it down so no one has to figure out the same solution again.
It can often seem challenging to identify opportunities for AI in your customer support workflows, but if you remember the three tasks at which artificial intelligence excels -- prediction, automation, and classification -- you can evaluate AI for support solutions effectively. To get your gears turning, we're going to outline three common applications for AI automation in customer support.
Artificial intelligence is an ideal match for customer support workflows, but not every support workflow is ready for AI. To determine where your customer support AI opportunities lie, you first have to answer three basic questions:
On the podcast AI at Work we have had some great guests help us take a look at AI trends and the future of AI in the enterprise, providing insight on how to think about and effectively deploy AI. Check out this roundup of the top 8 quotes we have heard on the show so far.
Topics: AI at Work
Change is powerful. Here at Talla, we believe in the power machine learning has to change the way you deliver exceptional experiences to your customers. We decided to partner with 451 Research to prove just how much the customer experience will be impacted by machine learning.
Talla is an artificial intelligence solution that integrates with your knowledge base to answer questions and offer support in real time.
Artificial intelligence requires training data -- specifically, well-annotated training data -- in order to learn to do its job correctly. In fact, the data you've got lying around probably isn't good enough for AI. You'll need to refine your data before AI can use it.