Data Analytics Hospitality Unstructured Data 
Snowflake
SEPTEMBER 27, 2023
From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. 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.
AltexSoft
MAY 14, 2021
And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.
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AltexSoft
OCTOBER 25, 2021
billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Nuance, acquired for $19.7 Source: Linguamatics.
AltexSoft
JUNE 26, 2023
Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Key differences between structured, semi-structured, and unstructured data.
Knowledge Hut
MAY 2, 2024
Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. What are the Different Apache Spark Applications?
Cloudera
OCTOBER 21, 2020
If you’re in the hospital and COVID-19 causes lung damage, heart damage, or any of the other long term health issues that are still being discovered, insurers have to figure out what is associated with COVID-19, as opposed to pre-existing, or entirely separate, conditions. Insurers are thinking on their feet. CLOUD-ENABLED EVOLUTION .
U-Next
SEPTEMBER 22, 2022
An analysis of patterns in a data set to predict future events or outcomes is known as predictive modeling, a statistical process of predicting future outcomes or events. An evaluation of a sequence of data points over a period of time is carried out using this model. It is important to note that both of these are subsets of AI.
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