AltexSoft

SEPTEMBER 19, 2023

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry. Travel data: external and internal sources.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

DECEMBER 22, 2023

One reason for Azure future appeal is the wide number of services it offers, which enables companies to customize their cloud computing solutions to meet their unique requirements. In addition, the COVID-19 epidemic has prompted enterprises to adapt to distant working settings, increasing demand for cloud-based services.

Cloud Computing 52

Cloud Computing Machine Learning Banking Utilities 52

Cloudera

AUGUST 21, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Banking 61

Banking Kafka Cloud Storage Government 61

Knowledge Hut

NOVEMBER 18, 2023

In artificial intelligence , an AI model, including Open AI models, refers to a mathematical formulation that processes data, discovers patterns, makes predicaments, and decisions in AI systems. AI models are like smart detectives that analyze data; they search for patterns and predict in advance. What is an AI Model?

Medical 52

Medical Machine Learning Datasets Algorithm 52

ProjectPro

JULY 10, 2021

Time series analysis and forecasting is a dark horse in the domain of Data Science. Time series is among the most applied Data Science techniques in various industrial and business operations, such as financial analysis , production planning, supply chain management, and many more. Sentiment Analysis from Social Media Feeds 3.

Project 40

Project Banking Datasets Python 40

U-Next

AUGUST 4, 2022

As a career option, Data Science is India’s latest youth buzz. After-placement payment Introduction to Data Science. Data are considered new age gold mines. Companies from all sectors recognise the value of utilising data to analyse performances and predict outcomes to facilitate judgement calls. What is Data Science?

Data Science 52

Data Science Medical BI Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

In today’s post-pandemic world, most businesses and organizations have moved towards remote work and digital access to services across every domain. But by doing so, they have started to face serious threats of data breaches and cyber-attacks. They exist to prevent crimes such as credit card and identity theft.

Insurance 98

Insurance Government Medical AWS 98

ProjectPro

APRIL 2, 2015

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Below we present 5 most interesting use cases in big data and Retail Industry , which retailers implement to get the most out of data.

Retail 40

Retail Hadoop Big Data Data Mining 40

Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

Insurance 81

Insurance Finance Portfolio Government 81

ProjectPro

OCTOBER 27, 2021

This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies.

Finance 52

Finance Machine Learning Project Banking 52

Precisely

NOVEMBER 27, 2023

The COVID-19 pandemic accelerated self-servicing trends in virtually every industry. Similarly, Acumen reported that 45% of customers are more likely to use self-service now than they were before the pandemic. per contact, self-service channels cost about $0.10 Here are six strategies for getting there: 1. per contact.

Banking 59

Banking Electronics Accessible Accessibility 59

ProjectPro

OCTOBER 12, 2021

Machine learning algorithms let us make sense of the data, find patterns based on similarity in features/attributes, and help quick decision-making across different industries, including economics, healthcare, e-commerce, retail, etc. The positive class (occurrence of frauds) accounts for only 0.172% of all transactions in the dataset.

Machine Learning 52

Machine Learning Project Entertainment Retail 52

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

Data Lake 77

Data Lake Telecommunication Retail Data 77

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Four Types of Data Analytics. There are 4 types of analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Knowledge Hut

JANUARY 11, 2024

Data Science has brought a revolutionary change in the way different industries work. I’ve observed that ever since data science techniques and approaches, including data science for finance, have made their way into different industrial domains, the growth has been tremendous. What Is Data Science?

Finance 93

Finance Data Science Programming Language Machine Learning 93

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Faster data ingestion: streaming ingestion pipelines.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Snowflake

FEBRUARY 13, 2023

Snowflake kicked off 2023 with enhanced features around data governance and optimized storage for expanded data access. With these new capabilities, you can use Snowflake to access data in those storage devices while getting the ease of use, elasticity, governance, resilience, and connectivity that Snowflake provides out of the box.

Insurance 52

Insurance Banking Government Retail 52