Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models. Insurance .

Insurance 94

Insurance Unstructured Data Finance Machine Learning 94

Snowflake

OCTOBER 26, 2023

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. If the model uses ungoverned data to generate content, there is a risk of exposing sensitive data to unauthorized data consumers.

Healthcare 85

Healthcare Unstructured Data High Quality Data Medical 85

Snowflake

SEPTEMBER 27, 2023

From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. Organizational data can deliver valuable insights, such as the availability of care delivery resources.

Healthcare 84

Healthcare Accessibility Accessible Hospitality 84

Cloudera

FEBRUARY 7, 2023

billion adults around the world do not have access to formal financial services, meaning that they cannot open a bank account or access credit, insurance, or other financial products. Cloudera Data Platform (CDP) has also been instrumental in helping banks solve the issue of financial inclusion in underserved communities.

Banking 75

Banking Technology Insurance Unstructured Data 75

Cloudera

DECEMBER 3, 2020

I came to the organization because of my interest in data & analytics specific to the insurance industry. Here are a few examples: Insurance: Now more than ever Insurers need to use technologies such as analytics and cloud to their advantage. It gives me all my fruits and veggies with an added boost! Reference Blog.

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Snowflake

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. From there, we can process information not unlike how humans do.

Unstructured Data 59

Unstructured Data Manufacturing Insurance Government 59

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

Snowflake

MAY 2, 2023

For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Customer Data Management Data science in finance enables companies to analyze customer purchase patterns and cater to preferences.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

MAY 31, 2023

Maintaining accurate records of train movements, routes, timetables, and passenger data is essential for ensuring safe and efficient operations. Ensuring that data quality, consistency, and security are protected throughout every step will help attract customers seeking personalized yet secure experiences.

Database 52

Database Coding MongoDB Project 52

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

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards.

Data Warehouse 81

Data Warehouse Unstructured Data Pharmaceutical MySQL 81

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. Insurance claims. Insurance claims make up the lion’s share of the insurance sector, which generates a mountain of documents and paperwork.

Technology 64

Technology Process Insurance Medical 64

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 87

Systems Hadoop Metadata Telecommunication 87

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

Knowledge Hut

JANUARY 22, 2024

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. FinTech companies depend heavily on FinTech data science to simplify financial decision-making and deliver cutting-edge solutions.

Data Science 52

Data Science Banking Big Data Insurance 52

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?

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

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.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

DECEMBER 27, 2023

A business generates data daily related to production, sales, marketing , customer feedback, team structure, costs, and other metrics. Sometimes it isn't easy to get a clear picture of the business because of unstructured data, and data visualization benefits the company by visually structuring the data.

Telecommunication 52

Telecommunication Bytes Machine Learning Data Science 52

Knowledge Hut

JULY 26, 2023

RDBMSs such as MySQL and PostgreSQL provide structured storage, defined relationships, and data integrity. NoSQL databases, such as MongoDB or Cassandra, can handle massive amounts of unstructured data while being scalable. NoSQL databases like MongoDB are intended to store and manage massive amounts of unstructured data.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

MARCH 26, 2024

Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

APRIL 23, 2024

Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

MARCH 16, 2015

Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained. Provide storage for billions and trillions of unstructured data sets. In such circumstances, the data and the outcomes are always dynamic and changing.

Healthcare 40

Healthcare Big Data Project Hospitality 40

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. Big Data and Hadoop technology is also applied in the Healthcare Insurance Business.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

APRIL 1, 2016

eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. Syncsort has delivered this because some of the companies in industries like financial services, banking, and insurance needed to maintain their mainframe data in native format.

Hadoop 52

Hadoop BI Big Data Big Data Tools 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 data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

MARCH 21, 2016

The largest and critical industries across the globe - healthcare, insurance, finance and retail, still generate data from Mainframes. Mainframe data cannot be ignored because it drives mission critical applications across myriad industries. 81% of the CIOs believe that Mainframes will remain an integral part of business.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

NOVEMBER 14, 2015

Such unstructured data has been easily handled by Apache Hadoop and with such mining of reviews now the airline industry targets the right area and improves on the feedback given. With Hadoop and Pig platform one can achieve next-level extraction and interpretation of such complex unstructured data.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. It has a robust community support that is evolving over time with novel advancements.

Hadoop 40

Hadoop IT Big Data Portfolio 40

Snowflake

MAY 1, 2023

“We leverage Snowflake’s core compute and storage capabilities to make the single source of data into a single source of business logic.” At-Bay, a leading cyber insurance company, aims to leverage Honeydew to do just that. For example, the At-Bay central data team controls how insurance policies are counted.

Insurance 103

Insurance Unstructured Data Python Building 103

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. They control and safeguard the flow of organized and unstructured data from many sources.

Certification 52

Certification Data Engineer Data Engineering Engineering 52