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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. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male.

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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. Automation in data science and big data. Open Data, Data Generation and Data Networks.

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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. Data Platforms. Let’s begin by looking at the state of adoption.

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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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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. NIPS used to be a sleepy academic conference.

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Women Leaders in Data Discuss Breaking Bias on International Women’s Day

Cloudera

We surveyed some of the most inspiring female leaders in data from across our global customers to find out how bias has affected their careers and how they believe we can break the cycle. . For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle. Changing the mindset.

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

O'Reilly Media - Ideas

So, what exactly are the skills data scientists and other tech titles are honing in response to this shift? As the co-chair of the O'Reilly Artificial Intelligence conference, I regularly track broad changes in consumption patterns and preferences on our platform. Python for Finance, 2nd Edition. Machine Learning with Python Cookbook.