CIO
SEPTEMBER 2, 2022
Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.
CIO
AUGUST 31, 2022
Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.
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TechCrunch
MAY 3, 2022
After all, AI is costly — Gartner predicted in 2021 that a third of tech providers would invest $1 million or more in AI by 2023 — and debugging an algorithm gone wrong threatens to inflate the development budget. While investor interest in MLOps is on the rise, cash doesn’t necessarily translate to success.
CIO
JANUARY 6, 2023
While many factors will impact the starting salary for any given role, including competition, location, corporate culture, and budgets, there are certain things you can look for to make sure you land the talent you want. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.
CIO
JULY 14, 2023
To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.
Existek
SEPTEMBER 28, 2023
Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. It’s essential to consider the complexity, timeline, and budget constraints of the project.
O'Reilly Media - Ideas
MARCH 31, 2022
As you’d expect, respondents from companies with AI in production reported that a larger portion of their IT budget was spent on AI than did respondents from companies that were evaluating or not using AI. Only 12% of respondents who were evaluating AI reported that their companies were spending over 21% of the IT budget on AI projects.
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