Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Alation

JULY 15, 2021

Many data catalog initiatives fail. According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Finding a trustworthy asset in a sea of data can take analysts months.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Ontotext

MARCH 13, 2024

We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

IBM Big Data Hub

AUGUST 17, 2023

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business.

Unstructured Data 90

Unstructured Data Statistics Consulting Enterprise 90

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. But what do we really mean when we talk about these issues?

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

AWS Big Data

MAY 24, 2024

Apache Spark is a powerful big data engine used for large-scale data analytics. You can use Apache Spark to process streaming data from a variety of streaming sources, including Amazon Kinesis Data Streams for use cases like clickstream analysis, fraud detection, and more. Starting with Amazon EMR 7.1,

Metadata 119

Metadata Interactive Business Objectives Management 119

Ontotext

SEPTEMBER 15, 2020

What Makes a Data Fabric? Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. It is a buzzword.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Ontotext

FEBRUARY 16, 2023

An area of AI that Ontotext has been working on for over 20 years is text analytics. This data can then be easily analyzed to provide insights or used to train machine learning models. In text analytics, the human benchmark is a set of documents manually annotated by human experts. You can read more about it in this blog post.

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

Ontotext

MAY 26, 2021

In much the same way, in the context of Artificial Intelligence AI systems, the Gold Standard refers to a set of data that has been manually prepared or verified and that represents “the objective truth” as closely as possible. And this is a challenge, as today’s data comes in huge volumes and from various sources.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Machine Learning Consulting 78

DataRobot Blog

MARCH 16, 2023

The integration of DataRobot and Azure OpenAI Service breaks down a barrier that has long existed between data teams and business stakeholders. Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists.

Data Science 98

Data Science Technology Data-driven Modeling 98

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! And getting a free text summary of the results, instead of just a table. I am very optimistic!

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. What capabilities are included in watsonx.ai? What is watsonx.data? What is watsonx.ai?

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

SEPTEMBER 29, 2023

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations.

Metadata 72

Metadata Visualization Data-driven Optimization 72

Ontotext

DECEMBER 7, 2023

The three roles of a knowledge graph A knowledge graph is a versatile way of organizing and using data. Like a database , knowledge graphs have schemas and users can apply complex structured queries to extract specific data needed. Because of the formal semantics attached to the data, knowledge graphs can act as a knowledge base.

Metadata 64

Metadata Modeling Software Statistics 64

DataRobot Blog

MARCH 9, 2022

Sentiment analysis invites us to consider the sentence, You’re so smart! In fact, when presented with a piece of text, sometimes even humans disagree about its tonality, especially if there’s not a fair deal of informative context provided to help rule out incorrect interpretations. Sentiment analysis datasets. It provides 1.6

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Ontotext

SEPTEMBER 2, 2020

Organizations that invest time and resources to improve the knowledge and capabilities of their employees perform better. The risk is that the organization creates a valuable asset with years of expertise and experience that is directly relevant to the organization and that valuable asset can one day cross the street to your competitors.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

AWS Big Data

JUNE 15, 2023

In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by using the Amazon QuickSight natural language query function, Amazon QuickSight Q. Q uses the same QuickSight datasets you use for your dashboards and reports so your data is governed and secured.

Sales 96

Sales Dashboards Visualization Testing 96

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. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024.

Strategy 52

Strategy Management Metadata Data-driven 52

AWS Big Data

AUGUST 23, 2023

It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data. It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data. When you create a serverless collection, you set a collection type.

Snapshot 98

Snapshot Dashboards Visualization Metrics 98

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. When choosing between qualitative and quantitative data, think about what you want to learn.

Statistics 52

Statistics Sales Testing Marketing 52

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. The many data warehouse systems designed in the last 30 years present significant difficulties in that respect.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. Ensure content can be reused within the data hub to support pharmaceutical use cases.

Unstructured Data 46

Unstructured Data Metadata Big Data Enterprise 46

Ontotext

FEBRUARY 14, 2024

Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Publishing 52

Ontotext

JANUARY 20, 2022

We’ve already discussed that enterprise knowledge graphs bring together and harmonize all-important organizational knowledge and metadata. We’ve already discussed that enterprise knowledge graphs bring together and harmonize all-important organizational knowledge and metadata. Building a single data graph across the three services.

Enterprise 52

Enterprise Unstructured Data Visualization Modeling 52

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Ontotext

JULY 11, 2019

Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore because it stores data in RDF triples). It provides the core infrastructure for solutions where modelling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. .

Statistics 40

Statistics Modeling Metadata Enterprise 40

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., internal metadata, industry ontologies, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

MAY 2, 2024

Data leaders today are faced with an almost impossible challenge. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Ontotext

AUGUST 30, 2024

It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. During the target identification phase of drug development, several challenges related to data can impede progress.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. During the target identification phase of drug development, several challenges related to data can impede progress.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

JULY 11, 2019

The similarity indices are a fuzzy match heuristic based on statistical semantics, which is particularly useful when retrieving the closest related texts or when grouping a cluster of graph nodes based on their topology. Let’s go through some of the main types of text semantic similarities searches with a simple but representative example.

Statistics 40

Statistics Modeling Metadata IT 40