Artificial Inteligence CTO Data Sport 
CIO
FEBRUARY 27, 2024
The savings are just too big to ignore for a ton of companies,” says David Heinemeier Hansson, the Danish developer of Ruby on Rails and co-owner and CTO of 37signals, which completed a six-month total exit from the cloud last June. I send data back to the cloud where I can afford a 5-10 millisecond delay of processing. “
TechCrunch
APRIL 7, 2021
Hiro Capital has gradually been making a name for itself as an investor in the area know as “Digital Sports” or DSports for short. While the round might sound small, the area it’s going into is large and growing. He’s joined by Hayden Ball, co-founder and CTO, a firmware and cloud infrastructure expert.
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CIO
SEPTEMBER 1, 2023
SAP has appointed a new global head of artificial intelligence, Walter Sun, after the previous post-holder quit to found her own AI startup. Prior to that, she had worked for two decades at the German Research Center for Artificial Intelligence, DFKI. Spoiler alert: it failed.)
CIO
JULY 28, 2022
For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.
CIO
FEBRUARY 28, 2024
I risparmi sono troppo grandi per essere ignorati da molte aziende”, afferma David Heinemeier Hansson, sviluppatore danese di Ruby on Rails, nonché co-proprietario e CTO di 37signals, che ha completato un’uscita totale di sei mesi dal cloud lo scorso giugno [in inglese]. “Un Cloud Computing, Data Center, Edge Computing
CIO
DECEMBER 11, 2023
What they are finding is that the line between advancing technologically and ensuring AI doesn’t result in detrimental outcomes is thin. What’s the plan if customers are presented with false data, or if critical decisions are based on inaccurate AI responses? Stakeholders need to comprehend how AI makes decisions and handles data.
TechCrunch
OCTOBER 7, 2021
Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.
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