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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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

O'Reilly Media - Ideas

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

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Serendipity systems: Building world-class personalization teams

Capgemini

This was the first team, outside of the design organization, to have designers in their team embedded with web developers and technical project managers. He is a two-time winner of the Ogilvy Award for Research in Advertising and an AIconics 2019 and 2020 finalist for Innovation in Artificial Intelligence for Sales and Marketing.

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Technology Trends for 2024

O'Reilly Media - Ideas

But it is correct to say that interest in type systems is growing among web developers. It’s also true that an increasing number of junior developers use JavaScript only through a framework like React or Vue. Artificial Intelligence In AI, there’s one story and only one story, and that’s the GPT family of models.

Trends 118
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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. Figure 3 (above).

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Technology Trends for 2023

O'Reilly Media - Ideas

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence.

Trends 136
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How to Hire Women in Tech: The Ultimate Guide

Mobilunity

Success Stories of Women in Tech Successful businesses lead by example by valuing women CTO, developers, and team leaders. Dr. Fei-Fei Li: A pioneer in artificial intelligence, Dr. Li is the co-director of Stanford University’s Human-Centered AI Institute and the Stanford Vision and Learning Lab.