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Microservices Adoption in 2020

O'Reilly Media - Ideas

So we did what we usually do: we ran a survey. The survey ran from January 31, 2020 through February 29; we had 1502 respondents from the readers of our mailing lists. Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). What are they using them for?

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AI Adoption in the Enterprise 2021

O'Reilly Media - Ideas

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. In our 2020 survey, which reached the same audience, we had 1,239 responses. We were interested in answering two questions. This year, we had a total of 5,154. Respondents.

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AI Adoption in the Enterprise 2022

O'Reilly Media - Ideas

In December 2021 and January 2022, we asked recipients of our Data and AI Newsletters to participate in our annual survey on AI adoption. That wouldn’t be surprising, since both surveys were publicized through our mailing lists—and some people like responding to surveys. Are companies farther along in AI adoption?

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Data analysis.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

Altexsoft

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Telecommunications: predicting equipment failure. Source: Kaggle State of Machine Learning and Data Science Survey. Most wanted autoML platforms in 2020.