CIO
JULY 6, 2023
While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.
O'Reilly Media - Ideas
SEPTEMBER 15, 2021
In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male.
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CIO
JANUARY 6, 2023
For some that means getting a head start in filling this year’s most in-demand roles, which range from data-focused to security-related positions, according to Robert Half Technology’s 2023 IT salary report. The survey also reveals the average salaries for each role based on experience.
TechCrunch
AUGUST 8, 2022
By 2025, driven partly by the need for digital services, 85% of enterprises will have a cloud-first principle, according to Gartner. In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms.
TechCrunch
MAY 3, 2022
Finding these issues is often a major pain point for data scientists. According to one recent survey (from MLOps Community), 84.3% ” Galileo fits into the emerging practice of MLOps, which combines machine learning, DevOps and data engineering to deploy and maintain AI models in production environments.
TechCrunch
MAY 10, 2022
Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of “data executives” at U.S.-based and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ). healthcare company.”
O'Reilly Media - Ideas
JANUARY 29, 2019
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. The current generation of AI and ML methods and technologies rely on large amounts of data—specifically, labeled training data. Data scientists and data engineers are in demand.
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