CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Manufacturing: Predict the location and rate of machine failures.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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 106

Machine Learning Manufacturing Unstructured Data Modeling 106

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. Faster decisions .

Cost-Benefit 128

Cost-Benefit Internet of Things Insurance Data-driven 128

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. Poor data quality leads to poor decisions and recommendations.

Data Governance 112

Data Governance Data Quality Data Collection Management 112

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 75

Manufacturing Technology Internet of Things Cost-Benefit 75

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

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 133

Data-driven Cost-Benefit Big Data Data Processing 133

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. From there, other best practices emerge: Heighten the focus on security and governance.

IoT 94

IoT Data Warehouse Internet of Things Machine Learning 94

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 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

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 97

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 97

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 80

Technology Measurement Cost-Benefit Data-driven 80

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 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

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

Sisense

OCTOBER 29, 2020

While we won’t get to the stage where cars will do most of the heavy lifting and ML onboard, what we will see is real-time data analytics in vehicles. Because AVs collect data in public where there is little ‘reasonable expectation of privacy’, they are not subject to many of the privacy laws in the U.S. Advertising?

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Getting your streaming data to work for you.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

AUGUST 11, 2023

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors.

Software 71

Software Manufacturing Cost-Benefit ROI 71

CIO Business Intelligence

AUGUST 24, 2022

To improve the safety of its asphalt operations, US-based Owens Corning has put data analytics to work, leveraging low-code tools to develop a digital platform that incorporates multiple data flows and enables previously plant-specific information to be shared and coordinated across the company’s operations.

Manufacturing 97

Manufacturing Risk Digital Transformation Data-driven 97

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 104

Digital Transformation Internet of Things Manufacturing Unstructured Data 104

Smart Data Collective

JULY 26, 2023

Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes.

Big Data 85

Big Data Data-driven Management Optimization 85

IBM Big Data Hub

JUNE 29, 2023

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

Manufacturing 57

Manufacturing Internet of Things Cost-Benefit Digital Transformation 57

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

bridgei2i

JANUARY 25, 2022

So the way you can fill this void is you can’t treat data collection, model building, and model deployment as isolated pieces of the puzzle, instead, you can club them together and treat it as a single pipeline. Shivalika: Then how would I go about filling this gap between taking the model from sandbox to production?

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

Jet Global

MAY 1, 2023

The industries that are users of embedded analytics are interesting. The Business Services group leads in the usage of analytics at 19.5 And Manufacturing and Technology, both 11.6 The sample included 1,931 knowledge workers from various industries, including financial services, healthcare, and manufacturing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52