Snowflake

JANUARY 8, 2024

As an industry built on data, financial services has always been an early adopter of AI technologies. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology. Insurance agents can use LLMs to analyze administrative data and accelerate claims processing.

Unstructured Data 83

Unstructured Data Government Portfolio Insurance 83

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 93

Insurance Unstructured Data Finance Machine Learning 93

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 83

Healthcare Accessible Accessibility Hospitality 83

Knowledge Hut

DECEMBER 26, 2023

What Is a Big Data Company? A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

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. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic. And its impacts are noticeable.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

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!

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Snowflake

DECEMBER 14, 2023

The foundation for the successful and responsible use of AI and gen AI must be based on data security, data diversity and organizational maturity. It’s not only about the technology but the people and processes as well. And, that applies to all their data, whether internal or external data sourced to expand their training sets.

Pharmaceutical 100

Pharmaceutical Food Government Transportation 100

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 57

Unstructured Data Manufacturing Insurance Government 57

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. Unstructured data is processed and handled using various popular data science tools.

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

JANUARY 22, 2024

Financial technology, popularly referred to as FinTech, is one of the fastest-growing areas of technological innovation and is popular with venture capitalists. FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers. Why is Data Science So Important?

Data Science 52

Data Science Banking Big Data Insurance 52

Towards Data Science

OCTOBER 7, 2023

We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen-AI at scale. Unstructured or streaming data processing Generative AI tends to deliver the most value by extracting insights from large volumes of unstructured data.

Unstructured Data 76

Unstructured Data Finance SQL Media 76

Monte Carlo

OCTOBER 4, 2023

We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen AI at scale. Unstructured or streaming data processing Generative AI tends to deliver the most value by extracting insights from large volumes of unstructured data.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

Knowledge Hut

MARCH 26, 2024

An essential position in IT is that of a solution architect who develops and deploys technological solutions that are customized to satisfy certain business requirements. They have a thorough understanding of a variety of technologies. Provide technical leadership and mentorship to junior architects and development teams.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JANUARY 11, 2024

If you want to be a financial data scientist, you can take the help of the Data Science certification course by KnowledgeHut, and it will act as a launchpad for your growth in this field. What Is Data Science? It uses complex machine learning algorithms to build meaningful and structured data.

Finance 93

Finance Data Science Programming Language Machine Learning 93

Knowledge Hut

MAY 31, 2023

Web Development with MySQL When it comes to dynamic, responsive web development, few technologies come close to matching the power of JavaScript. By integrating MySQL into your JavaScript workflow via Node.js, you can empower yourself to develop sophisticated web applications capable of handling complex data tasks seamlessly.

Database 52

Database Coding MongoDB Project 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 Retail Recruitment Transportation 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. You can browse the data lake files with the interactive training material.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. Today, we can employ AI technologies to predict the date of discharge. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

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 58

Data Warehouse Unstructured Data Medical Pharmaceutical 58

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 Insurance 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

JULY 26, 2023

A well-designed database application can efficiently store and handle data, meet the application's objectives, and deliver a seamless user experience. Go for Web Development course and master frontend, backend, database, and technologies to build scalable website. Top 10 Database Applications in Different Domains: 1.

Database 52

Database NoSQL Telecommunication MongoDB 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 Data Cleanse 52

ProjectPro

MARCH 16, 2015

The sum total of data related to the patient and their well-being constitutes the “Big Data” problem in the healthcare industry.Big Data Analytics has actually become an on the rise and crucial problem in healthcare informatics as well. Provide storage for billions and trillions of unstructured data sets.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

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

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MARCH 21, 2016

Mainframe legacy systems might not be a part of technology conversations anymore but they are of critical importance to a business. In 1990, analysts predicted that the big data era would witness the death of Mainframes, due to the advent of various other cheap computing resources.

Hadoop 40

Hadoop Insurance Big Data Retail 40

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

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MARCH 23, 2016

Since then, it is evolving continuously and changing the big data world. It has been 10 years since Hadoop first disrupted the Big Data world, but many are still unaware of how much this technology has changed the data analysis scene. Hadoop has also given birth to countless other innovations in the big data space.

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52