dachryn
Joined 5 years ago
Joined 5 years ago
If you focus on english only, this can easily reduce the paramters 5fold
The CEO will quickly spot broken processes and inefficiencies. Ass kissing can't make up for business problems. Beyond that, by working in a different store, gets a feel on how generic the approach can be, and where they need local optimizations.
The only think you are taking out of the consideration is toxic lower management and asshole colleagues, but that's not something I'd expect the CEO to fix directly himself. If anything he is just bored of the ass kissers and good news shows, and wants to regain a feel of reality
There are always -short term (how did we do this year, the classic everyone gets) -long term (bonus defined today, paid out over a few years if you meet the strategic goals, typically director and exec level, we are easily talking 100k+/year here in bonus money)
bonusses. So, yeah, still a financial letdown for them. But they still got paid quite a lot of money of course. The average swiss person had no stakes or no culpability at all (except maybe choosing them, clients could have walkd away)
Google is the other hand, they kill products outright even when there is still life in it.
With microsoft you can pay for extended support, but its pretty basic. They don't fix bugs, its only 'security issues'
They are brilliant at marketing (look at DALL-E). But then stable diffusion comes along etc and they need to prove their worth against competition. I am afraid Microsoft is not handling this well
I am not defending them, but this is totally on you. What was the missing information? Lack of identity verification or credit card verification? Again that's on you. You should have also received a warning in the cloud console and if you hvae the cloud app on your phone, there as well.
Now, those companies need data infrastructure. Azure ML studio is horrible. Azure data factory is somewhat okay'ish, but far from ideal. Azure Synapse is a steaming pile of junk that doesn't seem to improve. Azure data lake is kinda functional as a data lake, but lacks any decent ways to analyze that data.
Spinning up jupyter notebooks is not something most IT teams understand, they want a managed service.
As far as I know, Databricks is then the only solution offered by Microsoft. That's why they get such a high adoption rate. Not because of merit, but because they are the only somewhat acceptable solution on Azure. Good enough to just work. Not good enough to gain a competitive data advantage.
I hate what the world has come to, but sadly IT procurement has too much influence and CTO's dont understand the modern world enough. They just care about the big Microsoft contract, because it makes them look good (look at all these savings!)
If Microsoft would showcase Teradata or Dataiku or a bit of Snowflake, all of those run through the azure marketplace anyway,... we would be better off. But consultants and premium partners naturally only care about Databricks
Because I am quite interested then in figuring out the economics side of obtaining one
It is still taught at university if you do a master degree or PhD at a decent place.
But I agree that many juniors have no clue. Especially those who are self taught and join in from a different field
The problem in Portugal is the relation between income and housing cost. If the average rent of a 1 bedroom is 1000/month, and the average net income is 1300/month, you have a problem.
And oh boy are they building. Entire new zones that didn't even exist 20 years ago are now full of high rise buildings, public transport, shopping malls, ... But the prices to live there are phenomenal, even to western european standards.
So if you use a library for matrix multiplication, inverse, transpose, ... with a nice syntax, you're good to go.