Data Science 101

DECEMBER 18, 2019

Historically, our use of data could provide us with information that would influence decisions but required extensive work to collect, track, and interpret. Because of these new opportunities, industries are now able to leverage the power of data management and interpretation to become more efficient. Manufacturing.

Management 83

Management Recreation/Entertainment Manufacturing Data Collection 83

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 Forecasting Manufacturing Predictive Analytics 98

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.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

CIO Business Intelligence

FEBRUARY 10, 2023

The technology helps adopters in fields as diverse as finance, healthcare, retailing, hospitality, pharmaceuticals, automotive, aerospace, and manufacturing. Automotive: Incorporate records of component sturdiness and failure into upcoming vehicle manufacturing plans. Manufacturing: Predict the location and rate of machine failures.

Predictive Analytics 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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].

Machine Learning 110

Machine Learning Manufacturing Unstructured Data Modeling 110

CIO Business Intelligence

JUNE 5, 2023

Real-time data from end-to-end network visibility, combined with artificial intelligence (AI), machine learning (ML), and analytics, is used to optimize processes, reduce waste, identify manufacturing deviations, improve safety, save energy, and strengthen physical and digital security. Those are all examples of unified experiences.

Internet of Things 83

Internet of Things Cost-Benefit Manufacturing IoT 83

CIO Business Intelligence

MARCH 8, 2023

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

Manufacturing 85

Manufacturing Business Objectives Cost-Benefit Optimization 85

CIO Business Intelligence

AUGUST 5, 2022

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 94

IT Manufacturing Business Objectives Cost-Benefit 94

3AG Systems

DECEMBER 1, 2020

Much about industrial data collection has changed in the past few decades. For supervisory control and data acquisition (SCADA) engineers who cut their teeth on programmable logic controller (PLC) stacks and pre-internet SCADA, IoT might look like the latest trend. Read More

IoT 52

IoT Internet of Things Data Collection Manufacturing 52

Smart Data Collective

AUGUST 2, 2022

By building connected vehicle solutions, Grape Up helps the automotive industry use real-time data and sophisticated AI algorithms to improve driving experience, enhance communication, and increase productivity. Vehicle data processing allows to increase industry standards and design better solutions for maximum benefits.

Software 127

Software Machine Learning B2B Manufacturing 127

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 77

Manufacturing Technology Internet of Things Cost-Benefit 77

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.

Cost-Benefit 132

Cost-Benefit Internet of Things Insurance Data-driven 132

AWS Big Data

MAY 16, 2023

In this first post of the series, we show you how data collected from smart sensors is used for building automated dashboards using QuickSight to help distribution network engineers manage, maintain and troubleshoot smart sensors and perform advanced analytics to support business decision making.

Dashboards 74

Dashboards Statistics Data Collection Business Intelligence 74

CIO Business Intelligence

MAY 24, 2023

The US Department of Commerce (DOC) is probably the biggest collector of data in the United States. They collect, archive, and analyze everything from weather and farming data to scientific and economic data. If you’re not able to open data silos, you’re not able to harvest the benefits of the data across your company.

Data Governance 105

Data Governance Data Quality Data Collection Management 105

3AG Systems

OCTOBER 13, 2020

When a manufacturer, a utility or an operator of industrial assets needs to manage its machines and processes, what is the technology it turns to? The answer is supervisory control and data acquisition (SCADA), a 50+ year-old technology that is nearly universal in industrial operations around the world.

IT 52

IT Manufacturing Measurement Data Collection 52

Smart Data Collective

AUGUST 25, 2022

The rise of the internet of things has had a profound impact on a number of industries, from retail to manufacturing to transportation. By connecting physical objects and devices to the internet, businesses are able to collect and analyze data like never before, allowing them to optimize their operations and better serve their customers.

IoT 127

IoT Internet of Things IT Manufacturing 127

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. The purpose of collection and interpretation is to acquire useful and usable information and to make the most informed decisions possible. What is the keyword? Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Gold Associates LLC.

Cost-Benefit 116

Cost-Benefit Internet of Things Data-driven Data Lake 116

Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

Data-driven 134

Data-driven Cost-Benefit Big Data Data Processing 134

CIO Business Intelligence

NOVEMBER 1, 2023

One of the first use cases of artificial intelligence in many companies, including both Michelin and Albemarle, was predictive maintenance, which at its most basic level is an algorithm trained on data collected by sensors.

Enterprise 123

Enterprise Digital Transformation Modeling Interactive 123

Smart Data Collective

APRIL 23, 2022

For instance, the branding and marketing experts of the Superbowl would benefit from big data when planning the promotion and organization before it takes place. Kenneth Taylor wrote an insightful article on the ways that big data is transforming the Superbowl. It is also how a skate manufactures may begin to offer wide roller skates.

Analytics Technologies 109

Analytics Technologies Broadcasting Data Analytics Technology 109

Smart Data Collective

MAY 29, 2022

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. Companies need all of this data in a structured manner to improve their decision—making capabilities.

Data Analytics 133

Data Analytics Analytics Strategy Insurance 133

IBM Big Data Hub

FEBRUARY 7, 2024

Industry 4.0 : Manufacturers are integrating new technologies, including Internet of Things (IoT) , cloud computing and AI and machine learning, into their production facilities and throughout their operations.

Reporting 96

Reporting Cost-Benefit Internet of Things Data-driven 96

IBM Big Data Hub

FEBRUARY 14, 2024

Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

CIO Business Intelligence

APRIL 14, 2022

production assets with sensors to generate digitized methane detection data and indicate methane leaks, allowing them to improve safety measures onsite and lower emissions. Smarter operations through integrated data and analytics. For example, a client in the oil and gas sector recently equipped their U.S.

Strategy 110

Strategy Digital Transformation IoT Measurement 110

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

DataKitchen

MARCH 16, 2023

Metric Number One: Errors Reducing errors in data analytics is crucial for ensuring the accuracy and reliability of the insights generated by the team. Errors can originate from various sources, including data collection, integration, models, visualization, governance, and security.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Smart Data Collective

JULY 27, 2020

The massive advancement in technology is increasing the rate of real time monitoring, data collection, and data measurement. The changes in technology enable the massive integration of data into smart home technology and the existing environment site. Use a home automation system.

Technology 109

Technology Measurement Manufacturing Risk 109

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

CIO Business Intelligence

JULY 5, 2022

NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors.

Recreation/Entertainment 97

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 97

CIO Business Intelligence

FEBRUARY 13, 2023

The goal is to streamline quality control in manufacturing or business processes so there is little to no variance throughout. Motorola initially set this goal for its own manufacturing operations, but it quickly became a buzzword and widely adopted standard. Six Sigma was trademarked by Motorola in 1993.

Management 82

Management Statistics Manufacturing Measurement 82

IBM Big Data Hub

JUNE 8, 2023

Together with IBM’s support, the aim is leveraging data from the ocean and technology, and taking the project to the next level. The Reef Company designs reef modules, which are engineered with low-carbon impact materials and are manufactured locally.

Technology 82

Technology Measurement Cost-Benefit Data-driven 82

CIO Business Intelligence

JULY 1, 2022

NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors.

Recreation/Entertainment 94

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 94

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making.

IoT 88

IoT Data Warehouse Internet of Things Machine Learning 88

CIO Business Intelligence

JULY 17, 2023

When Carl Zeiss produced his microscope prototype years earlier, he created a high standard for precision and quality, using the most advanced, efficient manufacturing processes of the time. And there was another innovation waiting for the ZEISS Group: an intelligent manufacturing solution with digital documentation capability from SAP.

Manufacturing 88

Manufacturing Snapshot Uncertainty Digital Transformation 88

Smart Data Collective

MAY 6, 2019

It’s going to become increasingly obvious over the next few years that solving the data management challenges wrought by the advent of self-driving cars is going to be a matter of trust.

Management 104

Management Insurance Data Collection Cost-Benefit 104