In today’s episode, an unsolicited review of Amazon’s new Echo Loop, a smart ring that’s a voice interface to Alexa. Watch the unboxing to see what’s in the box, setup, and how it works. Disclosure: I paid for this device out of pocket and it’s not generally available yet – you had to submit a…
Summary In today's episode, I unbox and test the Amazon Echo Loop smart ring to see what it actually does in real-world use. Here's what this means for you. You find out whether this tiny wearable delivers genuine convenience or falls short of the hype. You'll also learn these concepts: how the ring pairs with…
Jim asks, “Are there any resources that evaluate marketing platforms on the basis of how much racial and gender bias is inherent in digital ad platforms?” Not that I know of, mostly because in order to make that determination, you’d need access to the underlying data. What you can do is validate whether your particular…
Summary In today's episode, I explain how to evaluate racial and gender bias in digital marketing platforms and walk through a practical framework for auditing your own data. Here's what this means for you. You gain a repeatable method for checking whether your marketing data skews away from your target population in ways that could…
Mitch asks, “With the return of the Levelator, what’s the best audio leveling solution for podcasting?” For those unfamiliar, the Levelator is a piece of software that promises one-click cleanup of audio to ready it for podcasting. Other solutions, such as Auphonic, do similar tasks – but the Levelator is free. And for those who…
Summary In today's episode, I compare popular audio leveling tools for podcasting, including the Levelator, Auphonic, and Camtasia's built-in leveler, by testing each across four different microphone sources. Here's what this means for you. You'll find out which free or affordable tool gives you the best one-click audio polish for your podcast. You'll also learn…
Jessica asks, “What are the best tools for cleaning data?” That’s a fairly broad question. It’s heavily dependent on what the data is, but I can tell you one tool that will always be key to data cleansing no matter what data set. It’s the neural network between your ears. Can’t see anything? Watch it…
