Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Manufacturing 111

Manufacturing Insurance Consulting Education 111

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Cloudera

FEBRUARY 8, 2021

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost. connected manufacturing, and connected vehicles, see more of his perspective at [link].

Manufacturing 108

Manufacturing Machine Learning Electronics Data Ingestion 108

Rockset

MARCH 25, 2022

Summary: PCH International is a leading hardware manufacturer with global operations that requires ultra-fast analysis of huge volumes of streaming data. The existing data infrastructure built on MongoDB and DynamoDB couldn’t support real-time querying of data.

Manufacturing 52

Manufacturing MongoDB Retail Data Warehouse 52

Snowflake

OCTOBER 2, 2024

Meanwhile, 79% of industry professionals said gen AI has the potential to revolutionize drug manufacturing in terms of quality and efficiency. They can accelerate research and discovery, optimize manufacturing, enhance commercialization, reduce costs and, ultimately, improve patient outcomes.

Pharmaceutical 98

Pharmaceutical Manufacturing Healthcare Algorithm 98

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable.

Insurance 130

Insurance Retail Finance Medical 130

ProjectPro

JUNE 6, 2025

Manufacturing- Manufacturing companies use predictive modeling to forecast maintenance risks and reduce costs on sudden breakdowns. Gain expertise in big data tools and frameworks with exciting big data projects for students. Data Mining- You cleanse your data sets through data mining or data cleaning.

Data Mining 45

Data Mining Banking Retail Healthcare 45

Knowledge Hut

OCTOBER 27, 2023

They will create a plan for the data collection. All the data about the baseline and the updated project charter is measured in Phase-2 of DMAIC. Analyze All the data that is collected and measured in Phase-2 is analyzed in Phase-3 of the DMAIC. Lean Six Sigma Case Studies 1.

Project 98

Project Manufacturing Food Certification 98

Cloudera

APRIL 22, 2022

That may extend to knowing (and controlling) the specific paths across which data transits, how it is stored, and the privacy and tamper-resistance compliance mechanisms employed. CSPs could become involved in the “networked cloud” and data-management across these areas — but they need to look beyond narrow views of edge-compute. .

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Google Cloud 134

Data Engineering Podcast

JULY 20, 2020

What is the current state of the art for accessing and analyzing data for wind farms? How uniform is the availability and formatting of data from different manufacturers? How are you handling data collection for the individual turbines? How are you handling data collection for the individual turbines?

Systems 100

Systems Manufacturing Machine Learning Algorithm 100

ProjectPro

JUNE 6, 2025

Step-1 Data Collection To master the data collection domain for the Amazon AWS Data Analytics Certification Exam, here are the key steps you can take. Familiarize yourself with the operational characteristics of data collection systems, understanding their capabilities and limitations.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

At its core, a machine learning system leverages the power of data to refine and boost performance over time iteratively. It further preprocesses the raw data by performing tasks like handling missing values, converting time formats, and normalizing user behavior- all of which are crucial for meaningful insights.

Machine Learning 40

Machine Learning Process Entertainment Algorithm 40

ProjectPro

JUNE 6, 2025

Pfizer's AI implementation helped rapidly identify signals within the noise of millions of data points across their 44,000-candidate COVID-19 clinical trial. These include efficient exploration and energy production, more reliable manufacturing, more nimble trading, and a personalized customer experience.

Data Science 67

Data Science Project Food Pharmaceutical 67

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. Audio data transformation basics to know. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

DoorDash Engineering

APRIL 23, 2024

Table 1: Classifying item name tokens to product attributes Building an attribute extraction model Building an in-house attribute extraction/tagging model from scratch requires a significant amount of labeled training data to reach the desired accuracy. This is often known as the cold-start problem of natural language processing , or NLP.

Building 91

Building Retail Manufacturing Unstructured Data 91

Knowledge Hut

DECEMBER 26, 2023

It refers to the use of data acquired from internet-connected devices. The data collected is then used to analyze, track, and predict human behavior. This can be observed in manufacturing, healthcare, and even the home. A variety of Cloud Computing courses are available to help you catch up with speed.

Technology 98

Technology Cloud Computing Healthcare Data Science 98

RandomTrees

SEPTEMBER 10, 2024

Predictive maintenance monitoring seeks to strike a balance by using real-time data and analytics to forecast when equipment will fail. Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy.

Transportation 59

Transportation Manufacturing Machine Learning Healthcare 59

Knowledge Hut

JULY 4, 2023

It involves extracting meaningful features from the data and using them to make informed decisions or predictions. Data Collection and Pre-processing The first step is to collect the relevant data that contains the patterns of interest. The steps involved in it can be summarized as follows: 1.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

DECEMBER 21, 2023

IoT: Overview IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences.

Transportation 98

Transportation Coding Medical Hospitality 98

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 73

Data Ingestion Retail Kafka Data Lake 73

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Data Pipeline 94

Data Pipeline Building Kafka Java 94

ProjectPro

JUNE 6, 2025

are some of the applications in finance , marketing, manufacturing, and healthcare domains. GitHub Repository: [link] Traffic Prediction on the METR-LA Dataset METR-LA dataset is a large-scale urban traffic speed prediction dataset containing real-time traffic speed data collected from loop detectors on the highways in Los Angeles County.

Project 63

Project Deep Learning Banking Datasets 63

ProjectPro

JUNE 6, 2025

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

FAQs What is Synthetic Data Generation? Synthetic data generation is a technique used to create artificial data that mimics the characteristics and structure of real-world data. Scalability As organizations scale their operations, the need for large volumes of data grows.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

Knowledge Hut

MAY 1, 2024

I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture. It looks like this: Data collection This part deals with the collection of raw data from various resources.

Algorithm 98

Algorithm Raw Data Programming Language Computer Science 98

ProjectPro

JUNE 6, 2025

Example: In an AI-driven manufacturing system, it might predict machine failure in one task while simultaneously optimizing production schedules in another. Smart Automation: Managing energy, traffic, or manufacturing lines dynamically. This enables: Real-Time Adaptation: Agents adjust strategies based on environmental inputs.

Medical 64

Medical Healthcare Deep Learning Hospitality 64

Knowledge Hut

APRIL 30, 2024

Six Sigma: Originally developed for manufacturing, but has been adapted successfully to service industries, healthcare, and more. This is achieved through data collection, statistical analysis, statistical tools, and other tools. Six Sigma seeks to improve 100% of process outputs at reduced costs.

Certification 96

Certification Education Manufacturing Project 96

ProjectPro

JUNE 6, 2025

Learning Big Data is Full of Job Prospects and Career opportunities in the Industry. Data professionals work in several industry segments, and their contributions apply to all industries. You can work in any sector, including finance, manufacturing, information technology, telecommunications, retail, logistics, and automotive.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

Knowledge Hut

MARCH 29, 2024

Six Sigma was first used in manufacturing as a quality control tool. Six Sigma Environmental Success: Baxter Manufacturing Baxter Manufacturing utilized Six Sigma principles to enhance its environmental performance and aim for greater efficiency. When long-term defect levels are less than 3.4

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Certification 52

Knowledge Hut

MARCH 27, 2024

Six Sigma was first used in manufacturing as a quality control tool. Six Sigma Environmental Success: Baxter Manufacturing Baxter Manufacturing utilized Six Sigma principles to enhance its environmental performance and aim for greater efficiency. When long-term defect levels are less than 3.4

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Certification 52

ProjectPro

JUNE 6, 2025

The architecture often includes sensors for real-time data collection and actuators for implementing actions. In a smart grid system, the environment comprises energy consumption data, renewable energy sources, and grid infrastructure, with agents working to balance supply and demand dynamically. It can be physical (e.g.,

Systems 63

Systems Building Project Transportation 63

Snowflake

JUNE 13, 2023

Learn how tesa, one of the world’s leading manufacturers of adhesive tapes and self-adhesive product solutions, combines more than 30 datasets to improve operations and take advantage of IoT technology – all through Snowflake’s Data Cloud. Snowflake allows us to do that.

Cloud 52

Cloud Manufacturing Scala Datasets 52

Knowledge Hut

DECEMBER 27, 2023

Many industries, such as medicine, business, technology, defense, aerospace, marketing, and manufacturing, need a team of software developers to ensure their businesses' maximum performance and introduce innovative software and technologies. They make sure that all enterprise applications run smoothly at any cost.

Medical 98

Medical Amazon Web Services Programming Language Entertainment 98

Grouparoo

DECEMBER 7, 2021

If undetected, corruption of data and its information will compromise the processes that utilize that data. Personal Data Collecting and managing data carries regulatory responsibilities regarding data protection and evidence required for regulatory compliance.

Data Integration 52

Data Integration Manufacturing Transportation ETL Tools 52

ProjectPro

JUNE 6, 2025

2) Cryptocurrency Analysis AI-powered agents are transforming cryptocurrency analysis by automating data collection, trend detection, and market predictions. AI agents streamline this process by leveraging large language models (LLMs) to analyze vast amounts of data quickly, providing traders and investors with actionable insights.

Project 59

Project Building Banking Healthcare 59

ProjectPro

JUNE 6, 2025

Automation can accelerate all data management and data warehousing steps, including data collection, preparation, analysis, etc. The Data Warehousing Project focuses on assessing the entire business process.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Optimal Production Scheduling Learn to Build Supply Chain Projects with ProjectPro FAQS 12 Hands-On Supply Chain Management Projects for Practice For anybody wanting to begin a career in supply chain data science , these supply chain projects will help apply machine learning, data science, and analytics to solve real-world supply chain challenges.

Data Science 40

Data Science Project Management Transportation 40