Remove AWS Remove Data Engineering Remove Google Cloud Remove Survey
article thumbnail

What is Oracle’s generative AI strategy?

CIO

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.

article thumbnail

The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

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.

LAN 358
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

2021 Data/AI Salary Survey

O'Reilly Media - Ideas

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. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases.

Survey 145
article thumbnail

How companies are building sustainable AI and ML initiatives

O'Reilly Media - Ideas

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.

article thumbnail

Your 2023 Data strategy in four resolutions

Capgemini

For the second year in a row, Databricks recently partnered with MIT Technology Review Insights to survey 600 CIOs, CTOs, and CDOs from large enterprises. The key result: CxOs and boards recognize that their organizations’ ability to generate actionable insights from data, often in real-time, is of the highest strategic importance.

article thumbnail

MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Source: Google Cloud.

article thumbnail

How to Hire AI Developers?

Existek

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. The update with the latest trends and technologies in the AI field is also important.