IBM Big Data Hub

MAY 19, 2023

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

Unstructured Data 79

Unstructured Data Data Processing Manufacturing Data Lake 79

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. and industries (healthcare, retail, logistics, manufacturing, etc.). 4) Manufacturing Production Dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. Cloud warehouses also provide a host of additional capabilities such as failover to different data centers, automated backup and restore, high availability, and advanced security and alerting measures.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

JULY 6, 2023

Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Sisense

OCTOBER 6, 2020

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Making sense of and deriving patterns from it calls for newer, more advanced technology.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98