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. AI algorithms can analyze a broader range of data sources, including non-traditional data like mobile phone usage, utility payments, and social media activity, to assess creditworthiness beyond credit history.

Banking 74

Banking Education Unstructured Data Algorithm 74

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 73

Unstructured Data Banking Machine Learning Media 73

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Banking 77

Banking Data Lake Telecommunication Data 77

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

Knowledge Hut

JUNE 20, 2023

Businesses need data for everyday operations as well as for major decisions. With the advent of digitalization and technological advancement, the amount of data produced by a company and stored in any organization has increased to a great level. It helps to enhance the data quality and make informed decisions in a company.

Business Analyst 52

Business Analyst Banking Cloud Computing Unstructured Data 52

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

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

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 The truth is, the industry is rapidly adopting AI and GenAI technologies to drive innovation across various domains.

Finance 77

Finance Portfolio Government Unstructured Data 77

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 94

Insurance Unstructured Data Finance Machine Learning 94

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. Wipro encourages its teams to interact with non-Data Science specialists.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

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. The future is hybrid data, embrace it.

IT 112

IT Unstructured Data Data Architecture Government 112

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

Knowledge Hut

APRIL 23, 2024

It highlights the importance of handling data in real-time or near-real-time to extract timely insights and enable swift actions. Regarding gathering in relation to velocity, it involves the pace at which data is collected or received. Customer data come in numerous formats. Consider both structured and unstructured data.

Big Data 52

Big Data Media Datasets Unstructured Data 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. Unstructured data is processed and handled using various popular data science tools.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

APRIL 23, 2024

Retailers may improve inventory management, logistics, savings, and supply chain efficiency by analyzing data from suppliers, distribution centers, transportation routes, and client demand. In insurance, big data use cases help with claim management and processing. Big Data Use Cases in Emerging Technologies a.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

APRIL 26, 2024

Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights. A technology has no significance without data. in order to implement the complete functioning of the system.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention.

Project 96

Project Healthcare Deep Learning Transportation 96

Snowflake

MARCH 7, 2023

Survey respondents cited a number of issues with data, including an inability to quickly onboard new data, difficulty accessing data in their organization, inadequate resources, and outdated technology. With Snowpark , all ML-driven data science use cases can be facilitated directly in Snowflake.

Cloud 52

Cloud Portfolio Unstructured Data Banking 52

Knowledge Hut

APRIL 20, 2023

In today's world, where technology is advancing at an unprecedented pace, the world of cybersecurity faces sophisticated threats and complex challenges daily. To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. What is Data Science?

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Cloudera

DECEMBER 3, 2020

Here are a few examples: Insurance: Now more than ever Insurers need to use technologies such as analytics and cloud to their advantage. A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. Reference Blog.

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

JUNE 23, 2023

By becoming more contextual and continuous, analytics should also become more flexible, owing to ML and AI technologies. The key advantage of adaptive analytics is that businesses can make choices based on real-time data with incredibly high accuracy What is Real-time Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

MAY 2, 2024

Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Streaming Data: Streaming is basically unstructured data produced by different types of data sources. Apache Spark was developed by a team at UC Berkeley in 2009.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

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

SEPTEMBER 22, 2023

A range of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, are used by Azure Data Engineers to create and build data solutions that are appropriate for their organisation. Is Azure Data Engineer Certification Worth It?

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

MARCH 28, 2024

Apart from the demand, pursuing Azure data engineer jobs has numerous advantages, such as high salaries, opportunities for career advancement, and the possibility to work with the most advanced technologies in the field of data innovation. Implement data ingestion, processing, and analysis pipelines for large-scale data sets.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

AltexSoft

OCTOBER 3, 2022

So, if you want to apply this technology in your projects but have no idea where to start, this post is a great place. machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. In the real world, most data is unstructured data e.g., text, images, audio, and video.

Relational Database 52

Relational Database Banking Media Computer Science 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

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Big data is often denoted as three V’s: Volume, Variety and Velocity. Ecommerce businesses like Alibaba, Amazon use big data in a massive way.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 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

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