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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. Most respondents participated in training of some form. Executive Summary. Demographics.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Machine learning and AI require data—specifically, labeled data for training models.

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Assessing progress in automation technologies

O'Reilly Media - Ideas

In this post, I share slides and notes from a keynote Roger Chen and I gave at the Artificial Intelligence conference in London in October 2018. To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. The “skills gap” is real and persistent.

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Managing risk in machine learning

O'Reilly Media - Ideas

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. In our own online training platform (which has more than 2.1 Data Platforms.

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How organizations are sharpening their skills to better understand and use AI

O'Reilly Media - Ideas

Additionally, delivering valuable content in a variety of formats—whether that is through books, videos, or live online training—is crucial to supporting employees to upskill and reskill on the job. So, what exactly are the skills data scientists and other tech titles are honing in response to this shift?

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RISELab’s AutoPandas hints at automation tech that will change the nature of software development

O'Reilly Media - Ideas

In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets into AI. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development.

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How to Hire AI Developers?

Existek

Besides, their responsibilities include considering such factors as data type, volume, complexity, etc. Training and optimization: They use data to build and train AI models. Using prepared data, AI software developers can implement techniques to evaluate and optimize model performance.