Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Manufacturing 107

Manufacturing Insurance Consulting Education 107

AltexSoft

APRIL 12, 2022

When using patient data for AI purposes, companies must do additional data preprocessing work such as anonymization and de-identification not to violate HIPAA rules (the Health Insurance Portability and Accountability Act that protects the privacy of health records in the US.). Here’s how data is prepared for machine learning .

Insurance 98

Insurance Recruitment Government Algorithm 98

Knowledge Hut

APRIL 24, 2024

Tools Python Flask framework for building the backend ReactJS for the frontend MySQL database to store the patient data Functionalities Secure user registration and login system Ability to add, edit, and delete patient information Search functionality to search for patients based on name, ID, or other criteria Ability to view a patient's medical history, (..)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Snowflake

JULY 26, 2023

With a comprehensive range of data and the application of advanced analytics, organizations will be able to make better decisions about which interventions to invest in and implement. Predictive analytics can also continuously improve the accuracy of predictions based on additional data collected from ongoing experience.

Hospitality 72

Hospitality Healthcare Medical Insurance 72

Snowflake

OCTOBER 16, 2023

For instance, analysts and investigators of FWA claims don’t have insight into a Medicaid recipient’s change in benefit status (for example, when they get a new job that covers health insurance and no longer need Medicaid coverage).

Healthcare 74

Healthcare Programming Hospitality Food 74

Knowledge Hut

OCTOBER 27, 2023

Tools Python Flask framework for building the backend ReactJS for the frontend MySQL database to store the patient data Functionalities Secure user registration and login system Ability to add, edit, and delete patient information Search functionality to search for patients based on name, ID, or other criteria Ability to view a patient's medical (..)

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

FEBRUARY 1, 2024

Data Privacy and Security Concerns The Challenge: Balancing data collection with user privacy is crucial in today's digital landscape. Invasive data collection practices can erode brand loyalty, negatively impact brand perception, and lead to legal repercussions. Where does it come from?

Designing 52

Designing Portfolio Data Collection Insurance 52

ProjectPro

JANUARY 31, 2023

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? Despite its long history of resistance to innovation, the insurance sector is currently experiencing a digital revolution. For both applicants and insurers, this quick move has significant implications.

Insurance 75

Insurance Machine Learning Project Algorithm 75

U-Next

SEPTEMBER 21, 2022

Using Artificial Intelligence in finance and fintech has enabled financial organizations to make intelligent judgments by evaluating vast amounts of data acquired in real-time from financial markets. This method is extremely reliable as the data collecting, processing, and analysis occur in real time.

Insurance 40

Insurance Finance Transportation Machine Learning 40

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. How many days will a particular person spend in a hospital? MIMIC database.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

DECEMBER 26, 2023

An information and computer scientist, database and software programmer, curator, and knowledgeable annotator are all examples of data scientists. They are all crucial for the administration of digital data collection to be successful.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

Interacting with clients to better understand their requirements and objectives Making suggestions based on research results and data analysis How to Land a Data Science Internship In 2024? Additionally, they could get advantages like paid vacation days and health insurance. 3 Lakh- Rs. 10 Lakh Rs.

Data Science 52

Data Science Portfolio Recruitment Education 52

AltexSoft

OCTOBER 18, 2022

Medical Data: What to Consider When Working with Healthcare Information. The main problem with healthcare data is its sensitivity. It contains confidential information which is protected by the Health Insurance Portability and Accountability (HIPAA) act and cannot be used without special consent. Medical image datasets.

Medical 52

Medical Datasets Machine Learning Hospitality 52

AltexSoft

SEPTEMBER 19, 2023

For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. Choose analytical tools.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 27, 2023

These industries include companies that offer medical services, insurance, manufacturing drugs, or distributing medical equipment. Software developers play an important role in data collection and analysis to ensure the company's security.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

JANUARY 23, 2024

The capacity of blockchain to store and manage data enables traceability, which is utilized to aid in creating and implementing technologies for intelligent farming and index-based crop insurance. Agricultural Insurance Climate change in recent decades has rendered the entire agricultural process increasingly uncertain.

Technology 52

Technology Food Insurance Data Collection 52

Knowledge Hut

JANUARY 11, 2024

Almost every industry uses data science in some way. You can learn more about data science fundamentals in this data science course content. From my standpoint, data scientists may use it to spot fraudulent conduct in insurance claims. Automotive data scientists may use it to improve self-driving cars.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

JANUARY 30, 2024

Audio Transcription: Audio data can be transcribed into text using speech recognition technology, enabling the extraction of spoken content for analysis, such as customer service call logs or voice recordings. For instance, GE Healthcare employed ETL to aggregate and integrate data from a multitude of local and cloud-native sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

U-Next

OCTOBER 20, 2022

Our data wouldn’t be biased if we had complete knowledge of every entity in it (such as customers, insurance claims, and software sessions) and if we could save data on every imaginable entity. The source material is not the only way bias can enter data. Outliers can severely distort data.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

Knowledge Hut

APRIL 6, 2023

Type 6: Analyses of data Data collection and analysis are crucial steps in identifying and managing different risks. Analysis of data helps to identify and rank risks and to create plans for how to handle, keep an eye on, and reassess them. Insurance is a second, more obvious method of risk transfer.

Management 52

Management Project Insurance Designing 52

ProjectPro

APRIL 19, 2021

Here’s a quick breakdown of other day-to-day data analyst responsibilities apart from meetings and reporting– Collect data from diverse sources and maintain them. Build and deploy data collection systems. Define novel data collection strategies as per business needs.

Portfolio 40

Portfolio Data Finance Certification 40

Knowledge Hut

DECEMBER 27, 2023

Hyperledger Fabric By isolating operations in channels or facilitating the exchange of private data in private data collections on a need-to-know basis, Hyperledger Fabric may also enhance data privacy. It also enables quick transactions with little finality and confirmation delay.

Programming Language 98

Programming Language Banking Utilities Algorithm 98

U-Next

AUGUST 26, 2022

Another recollection of one of our Data Analytics initiatives: In the healthcare industry, the type of segmentation in combination with several applied filters (such as diagnoses and prescribed drugs) permitted determining the impact of pharmaceuticals. Risk Management: In the realm of insurance, risk management is crucial.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Cloudera

SEPTEMBER 4, 2020

In Europe, one of the leading CSPs is using the platform to bring in data from black boxes in connected cars to improve road safety, for assistance, for monitoring and they’re even using data from connected devices to provide targeted insurance offerings based on specific risks of individual drivers.

Machine Learning 92

Machine Learning Insurance Retail Government 92

Knowledge Hut

OCTOBER 24, 2023

Knowledge of the business domain A business industry like banking, insurance, manufacturing, etc. Knowledge of the business domain A business industry like banking, insurance, manufacturing, etc. Data collections skills Finding trends and patterns in vast amounts of data is the responsibility of a business analyst.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

Cloudera

MARCH 18, 2021

From a data management point of view, FRTB’s requirements will require greatly increased quantities of historical data, along with an increased need for analysis and intensive computation against this data. . And there will be expansions on the requirements for managing and monitoring both data lineage and data security.

Banking 55

Banking Insurance Machine Learning Data Storage 55

Knowledge Hut

NOVEMBER 20, 2023

Lack of Personalization Although 54% of consumers say they want individualized service, it can be time-consuming to monitor specific customer data and purchasing patterns. Through automated consumer data collection and record keeping, AI in customer service enables customization and aids teams in creating comprehensive customer profiles.

Machine Learning 52

Machine Learning Utilities Entertainment Technology 52

U-Next

SEPTEMBER 21, 2022

Data mining is the systematic assessment of datasets to discover potentially relevant trends and correlations. The fundamental purpose of Data Mining is to process and obtain information from data collection. . Data mining is a broad and complex process with several components. . Medicine . Retail chains .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Knowledge Hut

DECEMBER 26, 2023

It technically preserves user privacy better because these agencies and intermediaries are conducting the majority of the data collection. applications hardly ever produce and distribute ones that use a single server or a single database to hold data. Decentralization is at the core of both Web 2.0 Developers of Web 3.0

Programming Language 52

Programming Language Banking Finance Government 52

AltexSoft

MARCH 22, 2022

Synthetic data maybe way cheaper to generate than to collect from real world events, if you don’t have a proper dataset. The same with the time factor: synthesizing can take days to process, while real data collection and processing might take weeks, months, or even years for the longitude projects. Exploring rare data.

Machine Learning 52

Machine Learning IT Medical Insurance 52

U-Next

AUGUST 3, 2022

The following duties are frequently handled by Data Scientists, even though each data research situation is unique and their tasks change based on the project. Gathering data Any Data Science experiment must include data collecting since, without data to work with, one cannot be a Data Scientist.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

AUGUST 24, 2021

A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures. This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Snowflake

MARCH 28, 2023

It enables planning for seasonal upgrades, like snow gear, and negotiating advanced usage-based insurance contracts. That’s where manufacturers and Snowflake team up Snowflake can save data analysts precious time, who can then reinvest it into more use cases that raise the bar for data-driven innovation.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52

Snowflake

APRIL 20, 2023

The company’s data is highly accurate, which makes deriving insights easy and decision-making truly fact based. Data access is daily and seamless, another significant benefit in the industry’s competitive landscape. MFour Mobile Research Better outcomes on MFour Studio, the first platform to behave like your consumer.

Medical 55

Medical Retail Python Pharmaceutical 55

Precisely

FEBRUARY 10, 2023

As privacy and security regulations and data sovereignty restrictions gain momentum, and as data democratization expands, data integrity becomes a must-have initiative for companies of all sizes. Anomalous data can occur for a variety of different reasons.

Data Integration 52

Data Integration Cloud Computing Government Machine Learning 52

ProjectPro

MARCH 14, 2014

Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses? Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper insights through big data analytics.

Hadoop 40

Hadoop Big Data Data Mining Retail 40