Is it me or @Apple is developing in-house skills and infrastructure necessary to do live TV?
I’m thinking something like an MTV channel for Apple TV+
Is it me or @Apple is developing in-house skills and infrastructure necessary to do live TV?
I’m thinking something like an MTV channel for Apple TV+
If/when scaling also implies addressing a broader audience, you can’t incrementally evolve the product or the team.
More radical actions are often necessary.
Just like to scale you can’t do more of the same things, you can’t repurpose the same product for a different audience (just by changing the pitch).
Rarely, if ever, the team that built a tool for admins is capable of thinking out of the box and evolve the tool for LoB users.
@viticci and/or @appannie: is there a way to list all iOS apps that use Shortcuts?
I know that, occasionally, list of top 100 apps are compiled, but I’m looking more for a comprehensive search engine.
Thank you
One of the most common belief you can find in an enterprise org. And one of the hardest challenges to overcome:
“it’s easy to believe that getting to the next sustainable level is simply the result of efforts similar to the ones that got you here.”
https://t.co/aEcBhtoKBH
I can see more than one unfortunate thing in this chart >
Print Has Prevailed: The Staying Power of Physical Books https://t.co/UCHKRtJtwF https://t.co/bH8vTelCk4
Ah, the joys & intricacies of policymaking. Technology adoption is influenced by forces that most people ignore. Appreciating the long-term consequences of that influence & acting accordingly is one of the biggest challenges an IT vendor can face (and not necessarily for profit).
Days away from each other.
As with any frictionless system, people will love both applications. No matter the long-term implications. Plus, many already got used to it thanks to the iPhone.
Assume facial (mass) recognition is here to stay. https://t.co/qihMaL9OJS
RT @brettroberts: Easily the best ocean depth animation I’ve seen… https://t.co/UmhqCUwMBM
@HansDeLeenheer All humans seek patterns and all humans are subject to biases and unwanted variance in judgement (noise). Some VCs are right a lot (the book says which ones) but no human is infallible. Yet.