Cloudera

JUNE 12, 2024

By analyzing data, news, and market trends, these models produce high-quality content quickly and efficiently, freeing up human resources for more strategic tasks. Risk and compliance analysis Risk and compliance analysis is another critical application of AI in finance.

Finance 77

Finance Portfolio Government Unstructured Data 77

Snowflake

FEBRUARY 5, 2024

Financial services organizations need a modern data platform that allows them to anonymize data and share it without moving or copying it or risking the exposure of PII. Increasingly, financial institutions will monetize their data through apps and data marketplaces.

Unstructured Data 126

Unstructured Data Banking Government Insurance 126

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Quotes Data governance is going to play a large role in what data can go into an LLM.

Government 52

Government Data Governance Finance Metadata 52

Striim

APRIL 18, 2025

If data is incomplete or arrives too late, automation tools can’t function effectively. Real-Time Decision-Making Requires Instant Insights: Businesses in industries like finance, retail, and logistics need up-to-the-minute data to adjust pricing, manage inventory, or detect fraud.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

ProjectPro

JANUARY 27, 2023

From identifying fraudulent transactions to predicting market crashes, data science applications in the finance industry are endless. All this is possible now, thanks to the versatile data science applications in the finance industry. Unstructured data is processed and handled using various popular data science tools.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Snowflake

OCTOBER 11, 2023

The growing role of data science in the modern business Today’s businesses are facing an unprecedented expansion of unstructured data that can permeate every department in an organization. Here are five trends that startups should keep an eye on in the months ahead.

Unstructured Data 119

Unstructured Data Cloud Data Science Finance 119

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 95

Insurance Unstructured Data Finance Machine Learning 95

phData: Data Engineering

NOVEMBER 8, 2024

It enables analysts and data engineers to “go back in time” and investigate how data looked at specific points, a critical feature for industries with stringent audit requirements, such as finance, healthcare, and e-commerce. They also support ACID transactions, ensuring data integrity and stored data reliability.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

JANUARY 8, 2024

Additionally, the use of synthetic data generated by AI can speed up stress testing and the evaluation and prediction of exposure risks, including those related to fluctuating interest rates and potential defaults. Unlocking this potential requires breaking down data silos across the organization and with partners and external entities.

Unstructured Data 116

Unstructured Data Portfolio Government Insurance 116

Snowflake

APRIL 8, 2024

Capable of a headless deployment into Snowpark Container Services, BigGeo can be used to speed up queries of data stored in Snowflake, gather those insights into a dashboard, visualize them on a map, and more. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data.

Pipeline-centric 131

Pipeline-centric Food Healthcare Unstructured Data 131

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Deep Learning Models Deep learning models are particularly adept at extracting insights from unstructured data like images, text, and audio. Getting the picture?

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

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. Generative AI plays a role in employee training.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

Cloudera

JANUARY 28, 2022

The question of the data to use will include the basics of transactional and enterprise data sources, but should expand to broader questions that will further shape the deployment strategy including third-party data, the need for real-time and/or unstructured data, ML and AI tools, etc.

Cloud 115

Cloud Banking Data Governance Government 115

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. This results in enhancements in finance reporting or compliance.

Insurance 97

Insurance Transportation Unstructured Data Manufacturing 97

Cloudera

APRIL 20, 2021

Finance/Banks : Modernize bank’s customer application by incorporating streaming capabilities to millions of customer interactions without failure and better customer experience. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

Knowledge Hut

JANUARY 18, 2024

People are always looking to make their lives exciting, and therefore they take the support of the internet; this means that Big Data is continuously growing. If the decisions taken in an organization are data-driven, then a company can make smarter decisions. They also have platforms where data scientists can share their knowledge.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineering 97

Software Engineering Software Engineer Data Science Engineering 97

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. It has found applications in all facets of our lives from healthcare to automobiles to banking and finance.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Cloudera

AUGUST 8, 2024

This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it.

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

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. Generative AI plays a role in employee training.

Unstructured Data 72

Unstructured Data Finance SQL Database 72

Data Engineering Weekly

MAY 8, 2023

The finance department has requested your assistance with their annual balance sheet, explicitly matching all entries from the company's bank account with receipts submitted by employees for their professional expenses. Unfortunately, this approach results in unstructured data that is difficult to work with.

Process 52

Process Banking Raw Data Finance 52

Towards Data Science

JULY 21, 2023

The first layer of your stack will generally fall into one of three categories: a data warehouse solution like Snowflake that handles predominantly structured data; a data lake that focuses on larger volumes of unstructured data; and a hybrid solution like Databricks’ Lakehouse that combines elements of both.

Building 98

Building Business Intelligence BI Cloud Storage 98

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

Monte Carlo

JULY 19, 2023

The first layer of your stack will generally fall into one of three categories: a data warehouse solution like Snowflake that handles predominantly structured data; a data lake that focuses on larger volumes of unstructured data; and a hybrid solution like Databricks’ Lakehouse that combines elements of both.

Building 96

Building Business Intelligence Cloud Storage BI 96

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. Impact: AI can positively impact society, from healthcare and education to finance and transportation.

Project 96

Project Healthcare Deep Learning Transportation 96

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

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Handling unstructured data Many AI models are fed large amounts of unstructured data, making data quality management complex.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

Knowledge Hut

MAY 23, 2024

It involves using various techniques to clean, process, and analyze data to find patterns and insights. Data science can be used to solve problems in a variety of domains, such as business, finance, healthcare, and marketing. It is a combination of data mining, machine learning, and statistical analysis.

Computer Science 98

Computer Science Data Science Java Certification 98

RandomTrees

JUNE 17, 2024

AI technology is revolutionizing and changing the way that fraud detection and prevention are being practiced, especially in the finance industry. This should not be taken lightly by any finance institution because it would result in biased treatment of some groups within their jurisdiction.

Banking 52

Banking Deep Learning Machine Learning Finance 52

Cloudera

DECEMBER 3, 2020

The data being captured in forms of structured and unstructured data can unlock new insights. Leveraging CDP, the cloud can store the structured and unstructured data, and allow new types of data, processes, and models based on real-time analytics to be spun up and scaled faster than ever before.

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

JUNE 27, 2023

Computer science is driving innovation in a variety of other industries, including healthcare, finance, & transport. In finance, computer science is facilitating faster, more secure, accurate transactions through blockchain and distributed ledger technologies. Applications: Finance, healthcare, supply chain, as well as voting.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Sync Computing

NOVEMBER 7, 2024

The ability to collect, analyze, and utilize data has revolutionized the way businesses operate and interact with their customers in various industries, such as healthcare, finance, and retail. While data warehouses are still in use, they are limited in use-cases as they only support structured data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

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