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.

Healthcare 105

Healthcare Unstructured Data High Quality Data Medical 105

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency. Source: Intel.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. The growing field of precision medicine holds incredible promise for delivering better patient care and medical innovation, but there are barriers to greater implementation.

Metadata 117

Metadata Healthcare Medical Data Storage 117

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.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Medical Pharmaceutical 59

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

Edureka

JUNE 7, 2024

Deep Learning Models Deep learning models are particularly adept at extracting insights from unstructured data like images, text, and audio. In healthcare, generative AI can assist in medical image analysis and report writing, while predictive models forecast patient outcomes. You get the drift, don’t you?

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Precisely

MARCH 7, 2024

From documenting losses and damages to verifying that a claim submission meets all the necessary criteria, each step requires meticulous attention to detail and often entails reviewing lengthy narrative documents such as accident reports, medical records, and legal demands letters.

Insurance 72

Insurance Process Medical Data Governance 72

Knowledge Hut

APRIL 26, 2024

Tons and tons of data are being generated each day and organizations have realized the vast potential that this data holds in terms of fueling innovation and predicting market trends and customer preferences. This technology is used in various industries like Medical, Automobile, robotics, etc.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Knowledge Hut

MAY 3, 2024

We collect hundreds of petabytes of data on this platform and use Apache Spark to analyze these enormous amounts of data. Healthcare Industry – Healthcare has multiple use-cases of unstructured data to be processed in real-time.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

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.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

MAY 23, 2024

Data scientists use their skills to solve business problems and help businesses make better decisions. They work with vast amounts of data, including customer, financial, and medical records. Data scientists need to communicate their findings effectively to non-technical people.

Computer Science 98

Computer Science Data Science Java Certification 98

Snowflake

JULY 13, 2023

Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs). Watch the session.

Entertainment 86

Entertainment Retail Manufacturing Media 86

AltexSoft

MAY 12, 2022

Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. But they also proved to be effective for music processing and acoustic diagnostics for medical purposes, including snoring detection. Do I Snore or Grind App interface.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

ProjectPro

DECEMBER 1, 2017

The demand for hadoop in managing huge amounts of unstructured data has become a major trend catalyzing the demand for various social BI tools. Source : [link] ) For the complete list of big data companies and their salaries- CLICK HERE Hadoop Market Opportunities, Scope, Business Overview and Forecasts to 2022.OpenPR.com,

Hadoop 52

Hadoop Medical Unstructured Data Big Data 52

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Database 72

ProjectPro

JUNE 1, 2017

For these hadoop vendors, the big data market is all about big and fast data that includes cloud based services for Hadoop and other offerings for running Spark , big data pipelines, machine learning and Streaming.All these managed services are a boon for hadoop vendors to fulfill their promises in a broader ecosystem.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance.

Hadoop 76

Hadoop Big Data Cloud Kafka 76

Knowledge Hut

MAY 31, 2023

AI Health Engine Language: Python Data set: CSV file Source code: Patient-Selection-for-Diabetes-Drug-Testing Artificial intelligence (AI) in healthcare is called the "AI Health Engine." A deep learning model called FormNet was explicitly designed for extracting documents from scanned forms.

Project 96

Project Healthcare Deep Learning Transportation 96

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Why Should You Pursue A Career In Artificial Intelligence? There are excellent career opportunities in AI.

Medical 52

Medical Computer Science Machine Learning Scala 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

ProjectPro

JANUARY 27, 2023

ETL is essential in the healthcare sector to export data from one source, often an EHR, and transform it into a format compatible with the target database's structure, where the data will be stored, either for future reference or delivered in a presentation-ready format.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

JULY 26, 2023

NoSQL databases, such as MongoDB or Cassandra, can handle massive amounts of unstructured data while being scalable. Medical: Databases are critical in medical applications for storing and managing massive amounts of healthcare-related data.

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

APRIL 23, 2024

It concentrates on structured data within predefined parameters or hypotheses to find specific patterns or relationships. Data Big Data Data Mining Big data is related to sizable and complex datasets that include structured, semi-structured, and unstructured data from a variety of sources.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Data Engineering Weekly

MAY 8, 2023

Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts.

Process 52

Process Banking Raw Data Finance 52

U-Next

AUGUST 18, 2022

These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Both organized and unstructured data are used in Data Science. Data Science is thus entirely concerned with the present moment.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

MARCH 15, 2016

Such large commercial banks can leverage big data analytics more effectively by using frameworks like Hadoop on massive volumes of structured and unstructured data. Hadoop allows us to store data that we never stored before. This section will elaborate about the usage of Big Data and Hadoop in the healthcare industry.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Knowledge Hut

JULY 28, 2023

Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small. DL models excel at handling unstructured data such as images, audio, and text, where the data has a large number of features or high dimensionality. When to Use Deep Learning 1.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

FEBRUARY 11, 2023

Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations. Microsoft Certified: Azure Data Engineer Associate covers the knowledge of Azure data services, data security in the cloud, and data management.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

AltexSoft

MAY 14, 2021

Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. That’s quite a help when dealing with diverse data sets such as medical records, in which any inconsistencies or ambiguities may have harmful effects.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JULY 3, 2023

From sentiment analysis to language comprehension, NLP engineers are shaping the future of AI and enabling businesses to make informed decisions based on the vast amount of unstructured data available today. In this article, we'll have a closer look into the NLP engineer salary ranges across companies and geographies.

Engineering 52

Engineering Certification Unstructured Data Computer Science 52

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52