Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. You need to do some work before you implement the technology and, thankfully, there are tools that can help with that.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Ontotext

JANUARY 10, 2024

The larger an organisation, the more complex it will naturally be, needing more people and technologies to serve a growing customer base – PwC, Is your organisation too complex to secure? And each of these gains requires data integration across business lines and divisions. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

JULY 26, 2019

Frequently dubbed too difficult to build or too complicated to understand, semantic technology is increasingly gaining popularity. Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity.

Technology 40

Technology Data Integration Enterprise Structured Data 40

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. By applying machine learning to the data, you can better predict customer behavior. Types of CDPs. Segment CDP.

Advertising 98

Advertising Interactive Marketing Data Integration 98

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

datapine

AUGUST 20, 2019

This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. Data has grown not only in terms of size but also variety.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Ontotext

OCTOBER 19, 2023

In order to create an interoperable health data record, we should be able to integrate personal health data (which comes in various formats and structures and varying quality) into a shareable format with other systems and individuals. What are the key technological and research innovations envisioned in AIDAVA?

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Ontotext

NOVEMBER 2, 2023

This is the goal of a “data-driven” organization. However, in the race to become data-driven, most efforts have resulted in a tangled web of data integrations and reconciliations across a sea of data silos that add up to between 40% – 60% of an enterprise’s annual technology spend.

IT 69

IT Cost-Benefit Data-driven Technology 69

CIO Business Intelligence

JANUARY 24, 2024

How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully.

Data Strategy 131

Data Strategy Strategy Unstructured Data Data Governance 131

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 103

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 103

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 98

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 98

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

MAY 30, 2019

It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge. Would Johnny be better off if the data to be transferred was Linked Data? Linked Data or Semantic Technology?

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. Semantic Web Company and Ontotext have been working in the field of semantic web technologies for over two decades.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. Other Technologies. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Machine Learning Technology. The challenge? Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Smart Data Collective

SEPTEMBER 26, 2019

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured data lacks a specific format or structure. Semi-structured.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 74

Unstructured Data Data Architecture Data Lake Snapshot 74

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Linked Data or Semantic Technology?

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

FineReport

MAY 30, 2024

Data visualization specialists with strong report design skills can craft engaging visuals that captivate audiences and convey complex information in a clear and concise manner. Academic programs focusing on data analysis, statistics, and visual communication are particularly beneficial for honing the required skill set.

Visualization 52

Visualization Dashboards KPI Reporting 52

AWS Big Data

FEBRUARY 7, 2023

This post focuses on such schema changes in file-based tables and shows how to automatically replicate the schema evolution of structured data from table formats in databases to the tables stored as files in cost-effective way. He believes in using technology as an enabler to solve real life business problems.

Data Lake 76

Data Lake Testing Big Data Structured Data 76

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

IBM Big Data Hub

JUNE 26, 2023

Yanfeng Auto International Automotive Technology Co. , Facing challenges, Yanfeng Auto’s approach is to work with companies like IBM with advanced technology, industry experience and technical expertise to accelerate its own data-driven digital transformation to reduce cost, improve efficiency and scale for company-wide innovation.

Software 62

Software Manufacturing Optimization Digital Transformation 62

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. structured, semi-structured, or unstructured data).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Ontotext

JANUARY 6, 2021

A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. Reuse of knowledge from third party data providers and establishing data quality principles to populate it. The connections made through these descriptions create context.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

JULY 12, 2023

By running dbt Core along with dbt’s Amazon Redshift adapter , you can compile and run your models directly within your Amazon Redshift data warehouse. Introduction to Etleap Etleap is an AWS Advanced Technology Partner with the AWS Data & Analytics Competency and Amazon Redshift Service Ready designation.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Machine Learning 40

Machine Learning Big Data Risk Unstructured Data 40

O'Reilly on Data

DECEMBER 19, 2018

These tools automate the process of building models: trying different algorithms and topologies, to minimize error when the model is used on test data. The model can’t exist without tools for data integration and ETL, data preparation, data cleaning, anomaly detection, data governance, and more.

Machine Learning 258

Machine Learning Software Metadata Testing 258

Jet Global

FEBRUARY 6, 2024

You’ll have access to all the features you know and love, plus the added benefits of the integrated environment. This change is about more than just technology; it’s about optimizing your experience and empowering you to make data-driven decisions with greater ease and efficiency.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Alation

OCTOBER 28, 2021

Data governance in healthcare refers to how data is collected and used by hospitals, pharmaceutical companies, and other healthcare organizations and service providers. It combines people, process, technology, and data within a system founded on transparency and compliance. Remove Low Quality, Unused, or “Stale” Data.

Data Governance 52

Data Governance Measurement Metrics Modeling 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Solution Outcomes: Graph provides a comprehensive and organized view of data, helping improve the performance and explainability of models, and automating several tasks. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52