Cloudera

SEPTEMBER 15, 2021

Without them, data collected by IoT sensors, cameras and other devices would have to travel to a data center located hundreds or thousands of miles away. In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible. Real-time Demands.

Medical 118

Medical Retail Datasets Algorithm 118

Edureka

JULY 18, 2023

billion (2022) Employees: 505,000+ Services: Data analytics, consulting, technology Clients: 9,000+ Industry focus: Financial services, healthcare, retail, manufacturing, and telecommunications Accenture Analytics is a leader in the data analytics industry. Some of the key figures for Accenture Analytics include: Revenue: $50.5

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. Third party opportunities One way for financial services firms to monetize their data is by selling it to third parties.

Banking 69

Banking Portfolio Retail Finance 69

RandomTrees

JANUARY 29, 2024

Traditionally, the quest for labeled data involves the meticulous task of human annotation, a process both labor-intensive and financially demanding. Yet, beyond the sheer toil, there are lurking concerns of privacy, limitations in data diversity, and the uphill battle of scaling up real-world data collection.

Medical 52

Medical Retail Entertainment Datasets 52

Snowflake

APRIL 18, 2023

Additionally, the gradual deprecation of the third-party cookie has placed a growing premium on first-party data, or data collected directly from customers, to support effective digital targeting strategies. Brands are spending upwards of $100B globally to advertise on these networks, with ads delivering a 70-90% sales margin.

Retail 52

Retail Digital Media Media Food 52

ProjectPro

JANUARY 27, 2023

ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate. Real-World ETL Use Cases and Applications Across Industries This blog discusses the numerous ETL use cases in various industries, including finance, healthcare, and retail.

BI 52

BI ETL Tools Retail Healthcare 52

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution.

Systems 103

Systems Data Lake Google Cloud Cloud 103

RandomTrees

DECEMBER 12, 2023

Synthetic data can get used to assist computer vision in the following ways. Data collection for real-world visuals with desirable characteristics and diversity can be time-consuming and extremely expensive. In order to achieve accurate model outcomes, data points must get annotated with the correct labels after collection.

Deep Learning 52

Deep Learning Datasets Healthcare Algorithm 52

Knowledge Hut

JUNE 4, 2024

The data you sell will be covered by dozens of companies, and these companies will be in the telecommunications and information services sectors. Develop an Online Survey Tool The demand for data collection makes it one of the viable data science ideas for businesses to develop an online survey tool.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods. Some key reasons to become a data scientist include the following.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

NOVEMBER 3, 2023

If you are involved with retail, for example, you can start with a retail-specific template and tweak it to your company's needs. It uses machine learning and neural networks (AI) to streamline data collection, mine insights, and deliver personalized recommendations.

BI 52

BI Cloud Retail Medical 52

Snowflake

MARCH 7, 2023

For example, utilizing data infrastructures that can scale compute resources up and down to handle fluctuating demand will inherently be more energy efficient than a data warehouse with regimented sizing. You should use the data you already have. Data collection and disclosure requirements keep shifting.

Transportation 71

Transportation Data Data Lake Retail 71

Knowledge Hut

DECEMBER 27, 2023

Retail Amazon Walmart Target Best Buy Research and Development Microsoft Research Asia Energy Research Institute JAH Tech Rekiki PTE Ltd Singapore Energy Centre Asian Consumer Intelligence Information Technology Apple Inc. Retail Many retail companies in Singapore use software applications to interact with customers and offer online support.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Rockset

MARCH 25, 2022

It doesn’t just build Apple gadgets, Beats headphones and other products on behalf of brands, PCH also sources products it doesn’t make, and ships finished goods to retailers as well as straight to consumers. PCH needed to upgrade its data technology for the age of real-time data.

Manufacturing 52

Manufacturing MongoDB Retail Data Warehouse 52

Knowledge Hut

JANUARY 19, 2024

Collect Data Green Belts or Black Belts are responsible for data collection by the project champion. For a few weeks, this team tried to collect any data that would help the project. The champion then enters the data into a charter template and collaborates with the group to edit it.

Project 52

Project Retail Media Manufacturing 52

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 72

Data Ingestion Retail Kafka Data Lake 72

Cloudera

APRIL 22, 2022

There are numerous applications for these, ranging from public transit and congestion control, to security and law enforcement, to identification of free parking spots or footfall trends for retailers and urban planners. There may be particular advantages for location-specific data collected or managed by operators.

Data Solutions 133

Data Solutions Amazon Web Services Data Storage Google Cloud 133

AltexSoft

APRIL 12, 2022

When using patient data for AI purposes, companies must do additional data preprocessing work such as anonymization and de-identification not to violate HIPAA rules (the Health Insurance Portability and Accountability Act that protects the privacy of health records in the US.). Here’s how data is prepared for machine learning .

Insurance 98

Insurance Recruitment Government Algorithm 98

Knowledge Hut

OCTOBER 27, 2023

AI-Powered Shopping System AI-Powered Shopping System is a useful software engineering project that can assist online retailers provide customers with personalized product suggestions and real-time price tracking. It delivers a spectrum of elements like integration with payment gateways, product reviews, and mobile compatibility.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

FEBRUARY 11, 2023

A data analyst uses logic-based tools and techniques and computer programming to realize goals, develop a new product, or form better business strategies. Multiple industries, like the education industry, the software industry, the retail industry, etc., The average pay scale of a data analyst in the industry is $68,000.

Retail 52

Retail Education Healthcare Data Mining 52

Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. This data can be of any type, i.e., structured or unstructured, which also includes images, videos and social media, and more.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Medical 82

Medical Government Hospitality Electronics 82

Knowledge Hut

MARCH 19, 2024

Redshift is one of the most popular AWS business applications , which is famous within the business intelligence, data warehousing, and reporting applications used in industries, e.g., retail, financial, and healthcare.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

APRIL 19, 2023

E-commerce: To monitor sales patterns and consumer behavior, online retailers frequently use data aggregation. In order to determine the most popular goods, average order value, or repeat purchase rate, for instance, customer purchase data may be aggregated. This can be done manually or with a data cleansing tool.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Cloudera

SEPTEMBER 4, 2020

Using the data collected, they are also able to offer services such as vehicle diagnostics, provide roadside assistance, stolen vehicle assistance, and emergency assistance as well.

Machine Learning 93

Machine Learning Insurance Retail Government 93

Edureka

AUGUST 2, 2023

What does a Data Processing Analysts do ? A data processing analyst’s job description includes a variety of duties that are essential to efficient data management. They must be well-versed in both the data sources and the data extraction procedures.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Snowflake

FEBRUARY 16, 2023

But it’s really hard and becoming increasingly harder to find and extract that data in a way that machines can process later,” explained Or Lenchner, CEO of Bright Data. We also support 650 organizations through our Bright Initiative—a pro-bono program designed to help entities that use data for the public good,” explained Lenchner.

Accessibility 52

Accessibility Accessible BI Data 52

Knowledge Hut

APRIL 24, 2024

AI-Powered Shopping System AI-Powered Shopping System is a useful software engineering project that can assist online retailers provide customers with personalized product suggestions and real-time price tracking. It delivers a spectrum of elements like integration with payment gateways, product reviews, and mobile compatibility.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

JANUARY 23, 2024

It incorporates information and communication technology (ICT), the internet of things (IoT), multiple sensors, machine learning technologies, and numerous data collecting and analysis equipment such as unmanned aerial vehicles. Sampling can save costs, but it requires a large population of items for data collection.

Technology 52

Technology Food Insurance Data Collection 52

Knowledge Hut

MAY 9, 2024

Besides the data scientist highest salary, data science professionals enjoy a diverse range of job opportunities across many industries, from tech and finance to healthcare and retail.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

MAY 3, 2024

Zalando: As the leading online fashion retailer in Europe, Zalando uses Kafka as an ESB (Enterprise Service Bus), which helps us in transitioning from a monolithic to a microservices architecture. With Kafka Streams, spending predictions are more accurate than ever.

Kafka 98

Kafka Scala Java Amazon Web Services 98

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. million people around the globe.

Data Science 52

Data Science Project Food Pharmaceutical 52

Knowledge Hut

MARCH 27, 2024

Although it's open source, it only supports 10000 data rows and one logical processor. ML models can be deployed to the web or mobile (only when the user interface is ready for real-time data collection) with the assistance of Rapid Miner. Features: Various file types (SAS, ARFF, etc.) are accessible via URL.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JUNE 16, 2022

The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. Here, you also do data splitting to receive samples for training, validation, and testing. Then you choose an algorithm and do the model training on historic data and make your first predictions.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

APRIL 23, 2024

Understanding the variety of data involves managing and integrating different data formats, structures, and sources to ensure comprehensive analysis and extraction of valuable insights. Example of Data Variety An instance of data variety within the four Vs of big data is exemplified by customer data in the retail industry.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

APRIL 25, 2024

Industries, where the application of spatial data science will expand have a wide range of verticals, including real estat e, cities and governments, management consulting, utilities, retails, telecommunication, green energy, and many more. Big Data Analytics Big data analytics has revolutionized many industries like no other.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Knowledge Hut

MAY 2, 2024

The applications of math are used in many Industries like Retail, Manufacturing, IT to bring out the company overview in terms of sales, production, goods intake, wage paid, prediction of their level in the present market and much more. Analysis of data includes Condensation, Summarization, Conclusion etc.,

Machine Learning 98

Machine Learning Algorithm Datasets Python 98