articles achieving-data-excellence-generative-ai 
Scalegrid
JANUARY 8, 2024
This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Discover how AI is reshaping the cloud and what this means for the future of technology.
O'Reilly Software
OCTOBER 23, 2018
The term "data scientist" was first used in the late 1990s. In 2008 or so, when data scientist emerged as a job title, it was widely ridiculed as a nonjob: the thought that people who just worked with data could be scientists, or employ the rigors of their time-honored methods, was literally laughable in many circles.
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O'Reilly
JUNE 7, 2022
Not so many years ago, one problem with AI was that AI systems were only good at one thing. An AI can’t choose what it wants to learn, neither can it say “I don’t want to play Go, I’d rather play Chess.” Yann LeCun posted a Twitter thread about general intelligence (consolidated on Facebook) stating some “simple facts.”
Scalegrid
MAY 13, 2020
It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.
Enprowess
NOVEMBER 2, 2021
This article will help decision-makers choose the right tech stack for their project. Wix – Achieved high speed and lightness within the development of configurable navigations and screen choices. But, start-ups still have a chance to use Flutter as an excellent solution to develop minimal valuable projects (MVP). An overview.
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