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.
One of the contributing factors to social media addiction is FOMO, or fear of missing out. It's an unhealthy condition wherein smartphone users constantly check their notifications for fear they are being left out of rewarding social situations. It is a terrible reason to use -- or not use -- your smartphone or social media.
Unfortunately, a similar mal-adaptation is driving the artificial intelligence strategy at many businesses. They have FOMAI, fear of missing artificial intelligence.
AI is absolutely NOT magic. At least, that’s what Katherine Gorman has to say about it on AI at Work. Katherine hosts Talking Machines, a popular AI podcast that serves as your window into the world of machine learning through conversations with experts in the field, and discussions of industry news. Check out her insightful advice to business leaders getting started with AI. Katherine addresses how much AI seems like "magic" saying,
One question that we often hear is, “How is Q&A in Talla different than search?” While both are ways of finding information that you’re looking for, Q&A gives users a specific answer to their question, whereas search provides a list of possible places that your answer might be. Search makes you do the work of finding the answer by digging through the results. Ask yourself: Would you rather have the treasure in front of you or a handful of maps that might lead to it?
“You have to approach technology as: How does it benefit someone’s day? You’re trying to save them time or money or improve their general outlook on their customers. How do you take AI and make processes better, make the information better, make the workflows better?” -- Jim O’Neill
This is the second in a series of Talla customer spotlights highlighting the real ways that companies are using AI, chatbots, and automation to make their employees more productive and increase engagement. We recently interviewed rLoop’s Co-Founder and Project Manager Brent Lessard to learn more about how they use Talla.
We live in the age of the customer; quality of product alone no longer determines success. Customers have endless options. Now more than ever, it’s the customer experience that is the ultimate differentiator with the power to make or break a business.