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Showing posts from March, 2023

A Practical Application of Machine Learning

I've got too many concurrent meetings and overlapping initiatives that I generally need to keep track of I'm sure anyone in any sort of leadership position understands this completely. Sure, we delegate responsibility, but often (especially if you have a heavily matrixed organization) it's impossible to know "which meeting should I attend" or have the individual teams even know "hey I should consult a particular individual about this". To me, this seems like a ripe area to apply deep learning ( or even traditional machine learning ). Currently there are a few ways I see people try to solve this: Delegate responsiblity and trust that "everyone knows what they need do" Micromanage and try to attend every meeting in person Overinvite God+Dog to every meeting and "hope" the right people know to show up These all have a variety of "difficult" problems. Most notably, the amount of information

web xr and the immersive web

It's interesting to me that the current craze around the "metaverse" seems to fuel an irrational belief that people want to experience a "make believe" reality that is essentially a low fidelity reproduction of "reality". In general, I think the power of VR is the potential to experience things that aren't possible or safe in "real life". I don't really think this is a widespread desire and the markets seem to be reflecting this. When I think about how much money is being lit on fire to build recreations of office environments that mimic real office environments, I def see a larger open space of "other stuff" much like when the web was in it's early days. It's a bit too early to really fully understand what the future of Immersive Experiences will be, I imagine a new crop of productivity apps on the horizon that look nothing like a "virtaul meeting room" (BUT WITH LEGS! :p ) Some examples I