CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data. What’s hiding in your unstructured data?

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

Ontotext

OCTOBER 14, 2021

For the purposes of this article, you just need to know the following: A graph is a method of storing and modeling data that uniquely captures the relationships between data. A knowledge graph uses this format to integrate data from different sources while enriching it with metadata that documents collective knowledge about the data.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. Tags provide metadata about resources at a glance.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

Cloudera

MAY 17, 2021

Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed.

Data Warehouse 90

Data Warehouse Measurement Reporting Testing 90

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

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. Why Enterprise Knowledge Graphs?

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

JULY 19, 2022

A data catalog can assist directly with every step, but model development. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. How Data Catalogs Help Data Scientists Ask Better Questions.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Ontotext

OCTOBER 12, 2023

LLMs] call into question a fundamental tenet of Data Management: that in order to address non-trivial information needs, the first step is to explicitly structure data in order to lift them from the ambiguous swamp of our human language.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities.

Big Data 105

Big Data Data Processing Interactive Testing 105

Ontotext

JULY 13, 2023

Enterprises generate an enormous amount of data and content every minute. Knowledge graphs allow organizations to enrich it with semantic metadata, making it ready to be used across teams and enterprise systems. They own two of the top-rated knowledge graph products on the market.

Enterprise 52

Enterprise Metadata Digital Transformation Data Integration 52

CIO Business Intelligence

DECEMBER 4, 2023

It’s now clear that CIOs hold the keys to unlocking the untapped value of data–and all assets– and by doing so, can catalyze a “make-or-break” business advantage. Tomorrow’s market leaders will recognize how to curate and enrich the value of all assets, which will train AI models, generate insights, and drive automation.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data fabric promotes data discoverability.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Ontotext

MAY 5, 2023

Here, the ability of knowledge graphs to integrate diverse data from multiple sources is of high relevance. As you can see from the slide below, knowledge graphs can provide a single access point for various types of data such as structured data, knowledge organization systems, transactional data and signals from unstructured content.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Wayne Yaddow

MARCH 14, 2025

Data freshness propagation: No automatic tracking of data propagation delays across multiplemodels. Workaround: Implement custom metadata tracking scripts or use dbt Clouds freshness monitoring. Workaround: Maintain a backup table of previous transformation results and manually roll back using SQL commands.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

SEPTEMBER 7, 2023

I’m Doug Kimball, the Chief Marketing Officer at Ontotext. Or if you’re bringing a new drug to market or repurposing an existing drug, what are all the patterns of interaction? Anybody who is using more than one set of data sources to do anything to serve their end customer could benefit from using knowledge graphs.

Technology 59

Technology Visualization Digital Transformation Management 59

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Technical challenges Data source specifics: The data in BigQuery is the export of GA 360 data and Firebase Analytics data.

Analytics 59

Analytics Data Lake Testing Optimization 59

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

BI-Survey

FEBRUARY 27, 2025

However, a closer look reveals that these systems are far more than simple repositories: Data catalogs are at the forefront of bringing AI into your business for at least two reasons. However, lineage information and comprehensive metadata are also crucial to document and assess AI models holistically in the domain of AI governance.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

erwin

MAY 7, 2025

Rigorous data validation processes should have been in place to identify and correct quality issues before they impacted model performance. Instead, OpenAI found itself repeatedly training and recalibrating its model, leading to unnecessary expenses and lost market momentum.

Data Quality 52

Data Quality Machine Learning Data Governance Metadata 52

BI-Survey

FEBRUARY 13, 2025

Instead, SAP is focusing on its core strength leveraging its deep understanding of business processes to transform the resulting data and metadata into valuable D&A insights. Customers using analytics outside of SAP systems faced the challenge of extracting SAP data and transferring it to their target environments.

Cost-Benefit 52

Cost-Benefit Unstructured Data Strategy Data-driven 52

AWS Big Data

NOVEMBER 14, 2024

Many organizations specializing in communications and navigation surveillance technologies are required to support multi-modal transportation supply chain markets such as road, water, air, space, and rail. AWS Glue – The AWS Glue Data Catalog is your persistent technical metadata store in the AWS Cloud.

Data Lake 105

Data Lake Metadata Testing Data-driven 105