Moving from Science Projects to Scalable Platforms AI is everywhere in the headlines and in boardrooms, but many companies aren’t yet seeing results. A recent MIT study found that 95% of AI projects miss against their ROI targets. That’s a staggering number, and even if it’s overstated, it remains directionally notable.

As AI workflows scale, the context behind our choices is vanishing and taking judgment with it.

Apple almost owned AOL, but we had one of the biggest strategic misses of the internet age. I worked at Apple in the late 1980s, when Macs were finally hitting their stride and before Windows 3.1 would fundamentally alter the personal computer landscape. Here are some powerful lessons I’d like to share from one of my experiences there.

How to Build a Culture Where the Best Idea Wins At one point in my career, someone affectionately introduced me by saying “Oh, this is Arnold. He is an a***hole”.

How to Handle Hyper-Scale from a Former Alexa VP Christmas time…the year is coming to a close, things are slowing down, and almost everyone is on some sort of break. Not consumer electronics teams, though. They aren’t resting. When you are about to have a massive surge of new customers booting up your product all at the same time, you aren’t relaxing.