As someone who has been involved in blockchain research since 2011, it’s sad to see a promising technology (in limited use cases) turn into a buzzword thrown around by the many speculators and scam artists peddling vaporware and pumping crypto prices.
http://www.gartner.com/smarterwithgartner/top-trends-in-the-...
Executives want to apply Deep Learning to everything and anything they can get their hands on. The results most of the time are underwhelming and could be had with a much simpler set of tools. Just wondering how long before Deep Learning goes into trough of disillusionment.
One day a consultant or another yesman will be able to check in and syphon precious resources with their pipe dream and I’ll watch six figures fly out of the window while my dev team struggles debugging simulated ipads with mac minis.
Six figures? Oh sweet summer child. :)
First you'll need to burn seven figures to have a Big 3 advise your leadership that you need this tech. Then you burn the six figures implementing it with a lower tier firm.
My WotD
Got a simple, defined flow that could just be a decision tree? Nope, we need natural language processing in a chatbot, we can't possibly present a menu.
I feel like I'm fighting the Infocom parser again.
I still remember my manager getting very excited about XBRL in 2007.
The same thing happened to REST. Every "web interface" is supposedly REST now, yet the client and server are even more coupled than they would have been if the interface were implemented in SOAP!
The client-stateless-server style derives from client-server with the additional constraint that no session state is allowed on the server component. Each request from client to server must contain all of the information necessary to understand the request, and cannot take advantage of any stored context on the server. Session state is kept entirely on the client
I've heard enough verbal gymnastics to fill a book trying to excuse how modern web apps aren't violating this condition.