Artificial Inteligence Google Cloud Off-The-Shelf Open Source 
CIO
JULY 14, 2023
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.
TechCrunch
MAY 10, 2022
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.
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CIO
AUGUST 16, 2023
Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure. For example, software vendor Nerdio uses generative AI to generate Powershell scripts for its customers, convert installer code from one language to another, and create a custom support chatbot.
O'Reilly Media - Ideas
FEBRUARY 20, 2019
An overview of emerging trends, known hurdles, and best practices in artificial intelligence. That was the third of three industry surveys conducted in 2018 to probe trends in artificial intelligence (AI), big data, and cloud adoption. These points would have been out of scope for any of the individual reports.
O'Reilly Media - Ideas
MARCH 7, 2019
Computers will get as good as humans in complex tasks like reading comprehension, language translation, and creative writing. These systems are harder to build than some of the first computer vision deep learning applications (i.e., Meet the language of emergency room triage notes. Yes, emergency rooms have their own language.
Daniel Bryant
OCTOBER 18, 2021
The cloud native ecosystem appears to have “ crossed the chasm ” of being accepted within the traditionally more technologically conservative enterprise landscape. I also learned about the “ kui ” kubectl augmenting/replacing tool located in the K8s SIGs GitHub repo. I was presenting a session at the DevX Day colocated event.
O'Reilly Media - Ideas
JANUARY 17, 2023
” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. Building Models. A common task for a data scientist is to build a predictive model. You might say that the outcome of this exercise is a performant predictive model. Pretty simple.
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