CIO Business Intelligence

APRIL 6, 2022

The first wave of edge computing: Internet of Things (IoT). For most industries, the idea of the edge has been tightly associated with the first wave of the Internet of Things (IoT). As the potential risk outweighed the unproven benefits, many felt it was prudent to take a wait-and-see attitude.

IoT 92

IoT Internet of Things Data-driven Manufacturing 92

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Trend #5: The rise of mobile EAM solutions Mobile technology is making EAM more accessible than ever.

Cost-Benefit 60

Cost-Benefit IoT Internet of Things Enterprise 60

Cloudera

AUGUST 18, 2021

technologies. Otherwise, they risk quickly becoming overwhelmed by massive volumes of data captured in different formats from a diversity of sources, including Internet of Things (IoT) sensors, websites, mobile devices, cloud infrastructures, and partner networks. .

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

Smart Data Collective

JULY 2, 2019

Better distribution, cost savings, technical improvements and, above all, the optimization of resources are some of the spaces that are opened up thanks to new technologies. This wouldn’t have been possible without big data technology. Big data is also being used to develop better renewable energy technology in Germany.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

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

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. Advanced technology and new approaches are needed. It’s more complex, and it requires more storage.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

OCTOBER 18, 2023

The procedure, often called kidney dialysis, cleansing a patient’s blood, substituting for the function of the kidneys, and is not without risk, however. Clinically, prediction is more useful if it predicts an IDH event for a given patient during an ongoing dialysis treatment.

Predictive Analytics 132

Predictive Analytics Analytics Machine Learning Digital Transformation 132

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

FEBRUARY 3, 2021

The challenge is particularly intense because the vaccine will not be distributed en masse to all individuals, but by segments that include occupation, age, preexisting risk, and geography. . Thankfully, technology to assist this huge undertaking is more comprehensive than ever before. Supply Chain 4.0 .

Manufacturing 103

Manufacturing Forecasting Internet of Things Risk 103

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361