CIO Business Intelligence

OCTOBER 24, 2024

The sharpness in the comments makes it clear how important it is for manufacturers to stake out their terrain in the highly competitive AI market. Many other manufacturers are also currently jumping on the agent bandwagon — including Microsoft. With genAI, the whole thing has taken on a new dynamic. That’s panic mode.

Metadata 111

Metadata Manufacturing Enterprise Sales 111

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. Metadata analysis makes it possible to build data catalogs, which in turn allow humans to discover data that’s relevant to their projects.

Machine Learning 279

Machine Learning Software Metadata Testing 279

AWS Big Data

OCTOBER 21, 2024

Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. Users can search for assets in the Amazon DataZone catalog, view the metadata assigned to them, and access the assets. Amazon Athena is used to query, and explore the data.

Sales 104

Sales Data-driven Data Processing Key Performance Indicator 104

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. Dataconomy.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

erwin

DECEMBER 9, 2024

Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see. Being that AI is comprised of more data than code, it is now more essential than ever to combine data with metadata in near real-time.

Metadata 52

Metadata Data Quality Sales Modeling 52

CIO Business Intelligence

MARCH 4, 2025

The new marketplace will initially feature action, topics, and templates from 200 partners for sales, service, finance, HR, productivity, and operations across various industries, including manufacturing, retail, education, hospitality, and healthcare.

Metadata 64

Metadata Manufacturing Finance Software 64

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. Manage data effectively and efficiently. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Smart Data Collective

MARCH 19, 2023

These orders are sent to the actual Manufacturer by dropshipper. The Manufacturer can execute the packing and delivery and minimize the list of dropshipper’s tasks. Predictive analytics can help you choose the right manufacturer, wholesaler and sales partners. Find a Manufacturer/Wholesaler/ Seller (Supplier).

Predictive Analytics 145

Predictive Analytics Analytics Manufacturing Advertising 145

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. Critical Application for Information Governance ” -Information Scientist, Healthcare Industry.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

DataKitchen

OCTOBER 11, 2021

Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. Figure 7: the DataKitchen DataOps Platform keeps track of all the instances of a job being submitted and its metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

Ontotext

FEBRUARY 3, 2022

Just as the shift from artisanal to industrial production required new approaches, so too does the shift from traditional to modern manufacturing. Thanks to internet-of-things (IoT) enabled machinery, the globalization of supply lines, and the proliferation of technical standards, 21st century manufacturing requires 21st century techniques.

Manufacturing 52

Manufacturing IoT Internet of Things Interactive 52

CIO Business Intelligence

MAY 25, 2022

Product lifecycle management (PLM) is an enterprise discipline for managing the data and processes involved in the lifecycle of a product, from inception to engineering, design, manufacture, sales and support, to disposal and retirement. PLM can optimize the production process in real-time.

Management 105

Management Manufacturing Cost-Benefit IoT 105

AWS Big Data

JULY 18, 2024

The DPP was developed to streamline access to data from shop-floor devices and manufacturing systems by handling integrations and providing standardized interfaces. This populates the technical metadata in the business data catalog for each data asset. Producers control what to share, for how long, and how consumers interact with it.

Data Lake 122

Data Lake Publishing Metadata Data-driven 122

CIO Business Intelligence

JUNE 9, 2022

Some are general tools that can be used for any job where data may be gathered, including scientific labs, manufacturing plants, or government offices, as well as sales divisions. The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads. Roku OneView. Of course, marketing also works.

Management 144

Management Advertising Data Lake Sales 144

Smart Data Collective

MARCH 22, 2023

OpenAI researchers say Point-E can quickly produce colored point clouds matching text prompts, after the researchers trained their cutting-edge models on a dataset of several million 3D objects and those objects’ metadata. Still, OpenAI claims its method is orders of magnitude faster than prior state-of-the-art.

Marketing 116

Marketing Manufacturing Modeling Metadata 116

CDW Research Hub

AUGUST 17, 2020

It’s the most simplistic version of storage—you give files a name, tag them with metadata, and organize them into directories and subdirectories. Metadata is limited to basic file attributes. So, what is file storage? Think of file storage as the old-school approach to storing information.

Unstructured Data 97

Unstructured Data Metadata Manufacturing Enterprise 97

Cloudera

AUGUST 3, 2021

Advanced predictive analytics and modeling are now optimizing safety stocks and supply chains to include the element in risk so that optimized inventory levels and redundant capital deployment in high risk manufacturing processes are optimized. Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Cloudera

JULY 20, 2021

Most businesses, whether you are in Retail, Manufacturing, Specialty Chemicals, Telecommunications, consider a 10% market capitalization increase from 2020 to 2021 outstanding. But what would you say to your shareholders when they found out your competitors’ market capitalization grew 35%?

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Jet Global

APRIL 5, 2021

For example, different functions could be specified, such as manufacturing or retailing, or groups of product types. The import and export functions enable users to bring in or send out elements such as process maps, as well as perform metadata audits.

Cost-Benefit 98

Cost-Benefit Metadata Forecasting Manufacturing 98

CIO Business Intelligence

NOVEMBER 4, 2022

billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. Our vision for the data lake is that we want to be able to connect every group, from our genetic center through manufacturing through clinical safety and early research. That’s hard to do when you have 30 years of data.”

Data Lake 124

Data Lake IT Experimentation Data-driven 124

AWS Big Data

MAY 21, 2024

Updates to the primary LINQ database come from various sources, including partner APIs for manufacturer metadata updates, LINQ’s frontend, and LINQ PowerTools. This document includes both standard manufacturer details and member-specific customizations, like special pricing or additional features.

Manufacturing 107

Manufacturing Sales Optimization Data Processing 107

AWS Big Data

APRIL 19, 2023

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

Metadata 87

Metadata Data Lake Testing Consulting 87

erwin

MARCH 21, 2019

That means it must support data imports and integrations from/with external sources, a solution that enables in-tool collaboration to reduce departmental silos, and most crucial, a solution that taps into a central metadata repository to ensure consistency across the whole data management and governance initiatives.

Modeling 75

Modeling Metadata Data Governance IT 75

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Not in the manufacturing space? Not to worry.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Octopai

JULY 15, 2020

We see this in many spaces – automation in manufacturing companies, robotics, automated testing. I believe that metadata automation improves the organization, thereby improving each individual employee. A: We see metadata automation impacting an organization in three main areas. Q: How does automation benefit a business?

Business Intelligence 88

Business Intelligence Metadata Cost-Benefit Risk 88

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 BMW Group is one of the world’s leading premium manufacturers of automobiles and motorcycles, also providing premium financial and mobility services.

Dashboards 106

Dashboards Analytics Metadata Data Warehouse 106

DataKitchen

JUNE 24, 2021

The first-class citizen is data and the product that you’re manufacturing is a data solution. Whether it’s streaming, batch, virtualized or not, using active metadata, or just plain old regular coding, it provides a good way for the data and analytics team to add continuous value to the organization.”.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

CIO Business Intelligence

APRIL 30, 2024

The copilot would then use the data source’s metadata and field names to provide a detailed description of the data, enabling other analysts to more easily reference the insights. Through this feature, the AI assistant can automatically generate descriptions of data that make data sources easier to find and explore.

Analytics 96

Analytics Metrics Visualization Dashboards 96

Alation

FEBRUARY 3, 2022

The car manufacturer leverages kaizen to improve productivity. These target commitments,expressed as policies and standards, should define completeness, quality, accuracy, timeliness, usage, access, and classifications for both metadata and data. And they continuously improve by integrating new insights into future cycles.

Data Governance 98

Data Governance Measurement Metadata Testing 98

CIO Business Intelligence

SEPTEMBER 22, 2023

Some are general tools that can be used for any job where data may be gathered, including scientific labs, manufacturing plants, or government offices, as well as sales divisions. Roku OneView The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads. Of course, marketing also works.

Management 105

Management Advertising Data Lake Sales 105

Cloudera

SEPTEMBER 15, 2022

Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency. Apache Ozone achieves this significant capability through the use of some novel architectural choices by introducing bucket type in the metadata namespace server.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

IBM Big Data Hub

OCTOBER 2, 2023

Audi, a renowned German automobile manufacturer, stands proudly as a symbol of luxury, performance and cutting-edge automotive technology. The search for a comprehensive solution for a complex process As a manufacturing organization, they faced numerous challenges in their contemporary setting.

Analytics 88

Analytics Manufacturing Uncertainty Machine Learning 88

CIO Business Intelligence

DECEMBER 13, 2023

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

TDAN

JANUARY 31, 2023

In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor. Data inventory optimization is about efficiently solving the right problem.

Optimization 87

Optimization Manufacturing Management Metadata 87