Ty and Seth take some time to step back from this flawed reality we live in and discuss some of the unintended consequences of tech in the past 30 years.
- Ty gets real about the power of AI—or lack thereof—and its tendency to be overhyped.
- Machine learning isn’t a one-size-fit-all. The nuances behind the name often get overlooked.
- In order to leverage ML effectively, it’s time to get real about Big Data, talent, and engage in some critical self-assessment.
- Ty lays out the three steps that need to take place before responsible change can happen and shareholders can be appeased.
- Even once a successful AI strategy has been implemented, updating and evolving that strategy must be an ongoing effort.
- KPIs and constant monitoring play into that evolution.
- Ty equates today’s popular view of ML to the honeymoon phase and warns against overlooking certain aspects of this “relationship.”
- ML biases are currently inevitable, but how we choose to handle them—or not—is within our control.
Listen to Ty and Seth discuss these points in their entirety below.
