Snowflake
JULY 10, 2023
“California Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.
AltexSoft
OCTOBER 25, 2021
This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. But a lot of data (by different estimations, 70 or 80 percent of all clinical data) remains unstructured , kept in textual reports, clinical notes, observations, and other narrative text.
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AltexSoft
OCTOBER 18, 2022
Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling.
Tweag
APRIL 19, 2023
To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. An issue is open to handle this case, but it made us decide not to use it.
Snowflake
SEPTEMBER 27, 2023
But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.
Knowledge Hut
DECEMBER 26, 2023
In the twenty-first century, data science is regarded as a profitable career. It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. Data science, which solves problems by connecting relevant data for later use, aids these emerging technologies.
Snowflake
OCTOBER 26, 2023
It can use natural language processing (NLP) to automate the process of medical documentation, significantly reducing the administrative burden on healthcare workers and allowing them to focus more on patient care. In addition, hiring for AI-related roles such as AI data scientists, data engineers and AI product owners remains a challenge.
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