As you might imagine, much of the work I’m doing nowadays is with companies trying to leverage AI. Each company and use case is different, but a common issue is data quality. So let’s take a look at why data quality issues arise, and how to prevent them… Every data team has faced the frustration
It’s a challenge humans have been struggling to overcome since the dawn of time. Building a solution that is fast, but also reliable. In Formula 1 auto racing, teams strive to build the fastest car possible. However, if their car never makes it to the finish line due to technical failures, it doesn’t matter how
I recently had lunch with the founder of a business analytics company whom I mentor. Over some very tasty interior Mexican food, he vented about how his clients do not fully understand how hard it is to get data right every day. If I got a dollar every time I heard this, I’d be having
