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AI Adoption in the Enterprise 2021

O'Reilly Media - Ideas

The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). Looking at the top eight industries, financial services (38%), telecommunications (37%), and retail (40%) had the greatest percentage of respondents reporting mature practices.

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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

According to the latest report by Allied Market Research , the Big Data platform will see the biggest rise in adoption in telecommunication, healthcare, and government sectors. What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Source: Allied Market Research.

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AI Adoption in the Enterprise 2022

O'Reilly Media - Ideas

Government, telecommunications, manufacturing, and retail are the sectors where respondents report the smallest (0%–5%) expense on AI. We can rephrase these skills as core AI development, building data pipelines, and product management. But it’s more interesting to look at what industries are, and aren’t, investing in AI.

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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

For example, Azure Healthcare APIs and Healthcare Data Engine by Google support FHIR and other health data exchange standards while ensuring HIPAA compliance. urrently, health information management as a discipline continues expanding — this time, towards Big Data and analytics.

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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. Tech giants: Google, Amazon SageMaker, Microsoft Azure, and IBM Watson. How Microsoft Azure AutoMl works.