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.
At Talla, we had a customer struggling with their support reps productivity. I’ll paint a picture of the problem they were struggling with…
“The workplace is shifting, and it’s changing at an extremely rapid rate. The natural consequence is that workers must adapt to meet those changes...” - (Forbes)
This topic was discussed this week on AI at Work, a weekly podcast takes a look into AI trends and the future of AI in the enterprise and provides insight on how to think about and effectively deploy AI in your organization. Host Rob May, Co-Founder and CEO at Talla, sat down with Jeanne Meister, Founding Partner at Future Workplace. The Future Workplace is an HR advisory and research firm providing insights on the future of learning and working. Jeanne shared valuable insights on HR’s resistance to AI, her experience coming from a non-technical background, the danger of getting left behind, and how quickly HR teams are moving. Check out the three things that all HR leaders need to know about implementing AI at their organization.
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.
For the past several years, software vendors and customers have been trained to look for a "wow" moment when trying out new software -- which is an expectation sure to lead to disappointment among adopters of modern artificial intelligence solutions. AI almost never gives you a traditional "wow" moment, which can often lead you to underestimate, overlook, or mistakenly dismiss the value of an AI solution.
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.
As people think about the future of work and what may happen if AI takes a lot of jobs, could providing a basic income to people be a solution? This week on AI at Work, Rob May discussed the concept of basic income with Dr. Tavneet Suri from MIT Sloan School of Management.
Topics: AI at Work
Jana Eggers is the CEO at Nara Logics, and a mathematician by training. Her unique perspective has her urging all CEOs to learn more about AI,
“I really encourage CEOs to get to understand AI. They can understand it to a level enough that it will be beneficial to their business. It's not something that I think they should just say, “Oh, that's my tech and that's my smart guys.” It's everyone. Don't put it off in a corner."
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,