Google Cloud Healthcare Machine Learning Survey 
Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. What is MLOps and how does it drive business success?
TechCrunch
MAY 10, 2022
In a recent survey of “data executives” at U.S.-based “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. ” The market for synthetic data is bigger than you think.
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O'Reilly Media - Ideas
SEPTEMBER 15, 2021
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. Executive Summary.
Existek
SEPTEMBER 28, 2023
Developers often have specialized roles based on their areas of expertise, like machine learning, computer vision, natural language processing, deep learning, robotics process automation, etc. Besides, they should have solid theoretical and practical knowledge of machine learning, deep learning, and statistics.
Altexsoft
SEPTEMBER 17, 2019
A number of machine-learning-based technologies allow insurance companies to automate this process, reducing the waiting time and freeing agents to work on less routine tasks. Check our separate article to learn more about applications of data science and machine learning in insurance. How it is applied.
d2iq
FEBRUARY 6, 2023
As the movement to the cloud has grown, so has the use of containers as an effective way to package, distribute, and deploy applications. As surveys show, Kubernetes is the most widely used orchestration engine for managing cloud-native containers.
O'Reilly Media - Ideas
MARCH 31, 2022
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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