old-time computer folks used to debug with an AM radio next to their system. Back in those days, clocks used to be in the hundreds of kilohertz, and you could hear the program flow (loops, jumps, interrupts) in the buzz on the corresponding AM frequency.
While I agree that we are able to see patterns and automatically expand, rescale, and focus on anomolies with our eyes, I don't beleive the same is true with our ears. They are much more 2d(or arguably, 1d) and are thus easily outdone by relatively unsophisticated algorithms.
I remember in the days of modems we used to use a 511 bit pseudo-random error pattern to test data links. If you listened to it on the line, it was a surprisingly repetetive sound compared to real random data. So I can see how you'd "hear" patterns in data this way.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.