Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Unstructured Data 93

Unstructured Data Pharmaceutical Banking Manufacturing 93

Monte Carlo

MARCH 3, 2025

Before the internet was powering the worlds most impactful SaaS applications with increasingly critical tasks from banking to real-time navigation, it was mainly the domain of cat pictures, AOL chatrooms, and email chain letters. In other words, the four ways data + AI products break: in the data, system, code, or model.

Unstructured Data 52

Unstructured Data Data Cloud Computing Banking 52

Cloudera

OCTOBER 28, 2020

A Mckinsey study shows that customer-centric banks outperform peers, delivering 55% higher returns. By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. No one at YES BANK was operating with a full 360-degree customer view. .

Unstructured Data 74

Unstructured Data Banking Machine Learning Media 74

Confluent

MARCH 4, 2019

Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. We need something that can handle large amounts of data, something that can handle unstructured data coming from logs and social media, and data in their native form.

Cloud 89

Cloud Banking Kafka NoSQL 89

Edureka

JULY 18, 2023

The banking industry is at the forefront of integrating AI, one of its many transformational uses. Today, we explore the top five ground-breaking uses of artificial intelligence in banking as we delve into the realm of money. This enables banks to quickly investigate and take the necessary action.

Banking 40

Banking Algorithm Media Machine Learning 40

Cloudera

FEBRUARY 15, 2024

While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008. Anyone can make their future whatever they want it to be.” Well, sort of.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

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. Cost Management.

Cloud 115

Cloud Banking Data Governance Government 115

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. This enables banks and asset managers to prepare for unexpected market shifts and quickly reassess and modify their strategies.

Unstructured Data 116

Unstructured Data Portfolio Government Insurance 116

Cloudera

DECEMBER 11, 2020

They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. Combining these forms of structured and unstructured data in the cloud can unlock new insights, both in isolation and in combination with each other.

Insurance 95

Insurance Unstructured Data Finance Machine Learning 95

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Unstructured Data Data Architecture Government 112

Cloudera

NOVEMBER 18, 2021

This included using NiFi to automatically collect and centralize documents consisting of unstructured data and then leveraging advanced natural language processing to extract tacit knowledge and perform sentiment analysis on unstructured text and images from more than 20 million documents. Security & Governance Leadership.

Banking 77

Banking Data Lake Telecommunication Data 77

Cloudera

NOVEMBER 14, 2023

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. Read how Bank Rakyat Indonesia leveraged Cloudera to build an agile and reliable predictive augmented intelligent solution to enhance its credit scoring system.

Banking 74

Banking Education Unstructured Data Algorithm 74

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

Towards Data Science

AUGUST 10, 2023

3- Putting unstructured data to work All of our expert panelists were excited about the potential for generative AI to enable data teams and organizations to extract value from non-relational sources. There’s plenty of unstructured data in the world. So let’s take a look at some of the recurring themes.

IT 98

IT Unstructured Data SQL BI 98

Snowflake

JANUARY 26, 2023

From sell-side banks to buy-side firms, the landscape is made up of multiple products, solutions, and service providers like investment research, order and execution management, reconciliation, accounting, data management, performance, compliance, risk management, and client reporting needs.

Retail 95

Retail Healthcare Unstructured Data Media 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. Splunk is the leading software to convert any data into real-world action.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

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

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Cloudera

JUNE 12, 2024

article , “The McKinsey Global Institute (MGI) estimates that across the global banking sector, [Generative AI] could add between $200 billion and $340 billion in value annually, or 2.8 In Financial Services, the projected numbers are staggering. According to a recent McKinsey & Co. percent of total industry revenues.”

Finance 77

Finance Portfolio Government Unstructured Data 77

Knowledge Hut

MAY 31, 2023

Loan Eligibility Prediction Language: Python Data set: CSV file Source code: Loan_Status_Prediction The goal of loan eligibility prediction using AI is to forecast the likelihood of loan approval for new applicants by analysing historical data on borrowers and their loan applications.

Project 96

Project Healthcare Deep Learning Transportation 96

RandomTrees

JUNE 17, 2024

The bank uses machine learning algorithms that are capable of analyzing transaction data so as to identify strange patterns that may be indicative of fraudulent acts happening within the bank. Deep learning algorithms can analyze complex data structures or even unstructured data sources.

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

JUNE 20, 2023

Search-Based Discovery Tools Search-based discovery tools allow users to utilize search terms in order to create and improve views and perform analysis of both structured and unstructured data. Business analysts perform the process of making a portfolio of potential candidates who may prove to be an asset to the company.

Business Analyst 52

Business Analyst Banking Cloud Computing Unstructured Data 52

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

Wayne Yaddow

MARCH 14, 2025

In the case of a transformation step failure or the generation of unexpected results, dbt Core offers comprehensive logging and failure reports, averting the dissemination of erroneous data throughout the pipeline. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Unstructured Data 52

Unstructured Data SQL Data Pipeline Data Validation 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

FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers. When you use PayPal, Google Pay, or your credit card to pay online, you, the consumer, the e-commerce company, as well as the bank are all using FinTech to complete the transaction. Why is Data Science So Important?

Data Science 52

Data Science Banking Big Data Insurance 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

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

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

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

Monte Carlo

FEBRUARY 25, 2025

There are two main approaches : ETL (Extract, Transform, Load) ETL is the traditional methodextract data from sources, clean and structure it, then store it. Its great when data consistency is critical and compute resources are readily available. Data Lakes Data lakes store raw, unstructured data.

Designing 52

Designing Data Engineer Data Engineering Engineering 52

Snowflake

MARCH 7, 2023

The Snowflake Data Cloud enables a single data repository and native support for structured, semi-structured, and unstructured data. With Snowpark , all ML-driven data science use cases can be facilitated directly in Snowflake. Read our blog post: Banking on Data, the New Currency of Financial Services.

Cloud 52

Cloud Portfolio Unstructured Data Banking 52

ProjectPro

MARCH 15, 2016

One of the primary use cases for Hadoop, was in risk modelling, to solve the question for banks to evaluate customers and markets better than legacy systems. These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis.

Hadoop 40

Hadoop Retail Healthcare Banking 40

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

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

Cloudera

SEPTEMBER 7, 2018

Whether it’s a rogue trader in a bank or brokerage or someone illegally sharing company intellectual property or intelligence, illegal insider actions put enterprises at risk of losing millions. This could be in the form of reputational damage or unfavorable regulatory consequences in case of compromised customer data, for example.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49