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. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98

IBM Big Data Hub

AUGUST 17, 2023

It will help them operationalize and automate governance of their models to ensure responsible, transparent and explainable AI workflows, identify and mitigate bias and drift, capture and document model metadata and foster a collaborative environment. million data points are captured, drawn from every shot of every match.

Unstructured Data 90

Unstructured Data Statistics Consulting Enterprise 90

Ontotext

DECEMBER 16, 2021

This data comes from both private and public sources and in structured and unstructured formats, making it difficult to create a unified, queryable view of existing knowledge. A critical component of knowledge graphs’ effectiveness in this field is their ability to introduce structure to unstructured data.

Metadata 98

Metadata Reporting Unstructured Data Publishing 98

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency. Once that is done, data can be transformed and enriched with metadata to facilitate analysis.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Understanding the data sets to be replicated from the CDH Cluster.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

Sisense

AUGUST 21, 2020

The article starts with a big statement about AI starting to operationalize, moving the requirements for data and analytics infrastructure to accelerate the development and adoption phase: “By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.”.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

DECEMBER 16, 2020

In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content. The article also explains how enterprise knowledge graphs enable organizations to incorporate machine learning algorithms for the smart interpretation of their data.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 101

Data Lake Cost-Benefit Unstructured Data Modeling 101

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Ontotext

SEPTEMBER 2, 2020

Instead, it creates a unified way, sometimes called a data fabric, of accessing an organization’s data as well as 3rd party or global data in a seamless manner. Data is represented in a holistic, human-friendly and meaningful way. With knowledge graphs, automated reasoning becomes even more of a possibility.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Ontotext

FEBRUARY 26, 2024

Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. This semantic model serves as a blueprint or framework against which raw data is analyzed and organized. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

TDAN

DECEMBER 4, 2024

The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to Lilliput and beyond has resonance for data leaders today. There are important lessons to learn from the little people of Lilliput and the challenges encountered by the eponymous Gulliver.

Data Architecture 52

Data Architecture Unstructured Data Data Governance Metadata 52

CIO Business Intelligence

JANUARY 30, 2025

The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive. This reduces manual errors and accelerates insights.

Management 113

Management Data-driven Data Governance Unstructured Data 113