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

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 71

Unstructured Data Banking Machine Learning Media 71

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

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 Unstructured Data Cloud Computing 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.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

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 Retail Recruitment Transportation 52

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 75

Banking Data Lake Telecommunication Data 75

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

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 Finance Big Data 98

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

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

JULY 3, 2023

NLP, or natural language processing, is revolutionizing the way we interact with technology. From sentiment analysis to language comprehension, NLP engineers are shaping the future of AI and enabling businesses to make informed decisions based on the vast amount of unstructured data available today. Who is an NLP Engineer?

Engineering 52

Engineering Unstructured Data Certification Computer Science 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 Retail 52

Towards Data Science

AUGUST 10, 2023

While their estimates varied from 50 to 20% on the “how much of generative AI is hype” spectrum, every panelist agreed this transformational technology had practical applications today and held tremendous potential. There’s plenty of unstructured data in the world. So I think that data teams will growteams grow.”

IT 82

IT Unstructured Data SQL BI 82

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 109

IT Unstructured Data Data Architecture Government 109

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 93

Insurance Unstructured Data Finance Machine Learning 93

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

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 88

Cloud Banking Kafka NoSQL 88

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 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

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

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

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

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

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 Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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

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

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 Mining Data Architect Programming Language 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

Monte Carlo

AUGUST 9, 2023

While their estimates varied from 50 to 20% on the “how much of generative AI is hype” spectrum, every panelist agreed this transformational technology had practical applications today and held tremendous potential. There’s plenty of unstructured data in the world. So I think that data teams will growteams grow.”

IT 52

IT Unstructured Data SQL BI 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 Engineering Data Engineer Engineering 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 Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

You can also gain knowledge and certification on big data in detail through Big Data certification online courses. Top Big Data Books for Beginners 1. Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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 64

Retail Healthcare Unstructured Data Media 64