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. But what exactly are we talking about when we talk about the Semantic Web? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

CIO Business Intelligence

MARCH 6, 2024

SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. Nearly every customer has an information architecture that expands beyond SAP.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

OCTOBER 25, 2023

The following is a high-level architecture of the solution we can build to process the unstructured data, assuming the input data is being ingested to the raw input object store. It can recognize objects, people, faces, and text, detect inappropriate content, and more. These services write the output to a data lake.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

Ontotext

MARCH 19, 2021

The same goes for metadata: the more intense the information environments we work in, the more complex the ways we describe the information objects in them. The package helps potential buyers decide if they want to buy a product by conveying various nutritional facts, potential allergens, relevant recipes, ingredients and much more.

Metadata 124

Metadata Publishing Enterprise Management 124

O'Reilly on Data

MARCH 7, 2019

It has different semantics. In a test done during December 2018, of the six engines, the only medical term (which only two of them recognized) was Tylenol as a product. Postop (from "Objective" section of a SOAP note ): Vitals- Tmax: 99.8, Lessons learned turning machine learning models into real products and services”.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

AWS Big Data

JANUARY 17, 2024

it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. Then we guide you through using the connector to configure semantic search on OpenSearch Service as an example of a use case that is supported through connection to an ML model. You can then use this model ID to create a semantic index.

Dashboards 115

Dashboards Data Processing Modeling Machine Learning 115

Smart Data Collective

JANUARY 1, 2022

’s ultimate objective is to make smarter, interactive, and accessible websites. Artificial intelligence , semantic web, and omnipresent characteristics are incorporated into Web 3.0. Semantic web’s core purpose is to separate and store information so that the system can learn what certain data means.

Data-driven 140

Data-driven Marketing Big Data Strategy 140

CIO Business Intelligence

MAY 20, 2025

Its also used to represent the relationships between objects, events, situations, and concepts in the knowledge base. SAP Knowledge Graph is a database designed to power Joules ability to provide accurate answers and allow users to explore data directly within Joule.

Optimization 72

Optimization Sales Data-driven Cost-Benefit 72

Ontotext

JUNE 27, 2024

The PPR (Product, Process, Resources) modeling paradigm offers a robust framework to address this need, leveraging ontology-based semantic description languages to encode knowledge across various aspects of automation tasks [1]. Process : Information on the sequence of operations or steps required to produce or assemble the product.

Modeling 72

Modeling Manufacturing Software Management 72

datapine

SEPTEMBER 4, 2019

In the recent years, dashboards have been used and implemented by many different industries, from healthcare, HR, marketing, sales, logistics, or IT, all of which have experienced the importance of dashboard implementation as a way to reduce cost and increase the productiveness of their respected business. But that’s no easy task. Analytical.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

AWS Big Data

SEPTEMBER 12, 2024

ZS uses several AWS service offerings across the variety of their products, client solutions, and services. ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols.

Unstructured Data 110

Unstructured Data Metadata Machine Learning Consulting 110

CIO Business Intelligence

OCTOBER 8, 2024

“We are infusing Joule with multiple autonomous AI agents that will combine their expertise across the business functions to collaboratively accomplish complex workflows,” said Muhammad Alam, head of product engineering at SAP, during a media briefing. SAP also announced that Joule is coming to more of its products.

Business Objectives 130

Business Objectives ROI Finance Sales 130

AWS Big Data

FEBRUARY 29, 2024

As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction). Finally, access control policies also need to be extended to the unstructured data objects and to vector data stores. Data enrichment In addition, additional metadata may need to be extracted from the objects.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

AWS Big Data

JUNE 21, 2023

The problem is that couch manufacturers probably didn’t use the words “cozy,” “place,” “sit,” and “fire” in their product titles or descriptions. An embedding model, for instance, could encode the semantics of a corpus. Semantic search is able to retrieve more relevant documents by matching the context and semantics of the query.

Metrics 98

Metrics Measurement Modeling Dashboards 98

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says. “We

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Metadata 87

Metadata Big Data Optimization Machine Learning 87

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

The objective would be to create a better planning process that enables executives and managers to achieve the highest potential financial and operational performance. Each business unit plans as appropriate but in a connected fashion that achieves better alignment with strategy and objectives and better coordination in executing the plan.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

Ontotext

DECEMBER 7, 2023

A graph is like a map that represents real-life objects and the relationships between them. In these social network graphs, the objects are people and organizations, and the relationships are ‘follows’ or ‘friends’. The descriptions of these entities have a specific structure and meaning (semantics).

Metadata 64

Metadata Modeling Software Statistics 64

Ontotext

NOVEMBER 18, 2021

It’s a dangerous business, putting your product to market. Picture this – you start with the perfect use case for your data analytics product. They’ve read some of the many available resources on the topic and seen Ontotext’s excellent product demos. The rule implementing its semantics looks like this: a.

Visualization 98

Visualization Reporting Metadata Enterprise 98

AWS Big Data

NOVEMBER 13, 2023

For further reading on Amazon MSK, visit the official product page. Before you start, you need to configure the IAM identities and policies that define the client’s permissions to access resources on the cluster. The following is an example authorization policy for a cluster named MyTestCluster.

Cost-Benefit 109

Cost-Benefit Management Optimization Consulting 109

AWS Big Data

NOVEMBER 13, 2023

For further reading on Amazon MSK, visit the official product page. Before you start, you need to configure the IAM identities and policies that define the client’s permissions to access resources on the cluster. The following is an example authorization policy for a cluster named MyTestCluster.

Testing 110

Testing Management Consulting IT 110

AWS Big Data

AUGUST 23, 2023

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. available in OpenSearch Service) supports the following new object mapping types : Cartesian field type – OpenSearch 2.7

Snapshot 98

Snapshot Dashboards Visualization Metrics 98

Ontotext

JUNE 24, 2020

And when Ontotext Platform’s Semantic Objects are combined with yours, we shall have an army greater than any in the galaxy. GraphQL federation supports object/entity extension within bounded context services. With the remainder building out a GraphQL similarity service using GraphDB’s semantic vector space.

Modeling 64

Modeling Technology IT Management 64

AWS Big Data

MARCH 19, 2024

Amazon OpenSearch Service has been a long-standing supporter of both lexical and semantic search, facilitated by its utilization of the k-nearest neighbors (k-NN) plugin. further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search.

Data Processing 74

Data Processing Modeling Machine Learning Metadata 74

Ontotext

SEPTEMBER 2, 2020

By creating a common semantic description, a knowledge graph creates a higher level of abstraction that does not rely on the physical infrastructure or format of the data. Ontotext’s collaboration with Euromoney is an award winning example of bringing innovative products and services to publishing for content packaging and reuse.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Ontotext

FEBRUARY 12, 2024

This quickly becomes difficult to scale with data discovery and data version issues, schema evolution, tight coupling, and a lack of semantic metadata. This enables organizations to empower teams across different business units to build data products autonomously with unified governance principles.

IT 64

IT Metadata Data Quality Data Lake 64

Ontotext

JANUARY 10, 2024

Often, it’s a by-product of business growth. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content. When we say semantic metadata, what we mean is having rich machine reasonable descriptions of information. The diagram below illustrates this in a simplified form.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

AUGUST 31, 2023

The growth of large language models drives a need for trusted information and capturing machine-interpretable knowledge, requiring businesses to recognize the difference between a semantic knowledge graph and one that isn’t—if they want to leverage emerging AI technologies and maintain a competitive edge.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Ontotext

NOVEMBER 12, 2020

Content enrichment, or semantic annotation , is about attaching names, attributes, comments, descriptions to a whole document, document snippets, phrases or words. With text analytics and content enrichment, we can think of text as separate digital objects relating to each other.

Analytics 59

Analytics Publishing Metadata Structured Data 59

Ontotext

DECEMBER 2, 2021

This model would contain a number of objects such as Report, Drone, Inspection, Building, etc. Each object would have a number of properties – for example, Report.date, Building.location, etc. Extend the base Building object with the builtOn property. Specify that inspectionRating is provided externally.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

Ontotext

JULY 12, 2024

The collaboration between Semantic Web Company (SWC) and Ontotext has deepened over the years and by complementing our strengths, we deliver greater value for our customers. We offer a seamless integration of the PoolParty Semantic Suite and GraphDB , called the PowerPack bundles. Why PoolParty and GraphDB PowerPack Bundles?

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Ontotext

SEPTEMBER 24, 2020

The model is built in order to test various scenarios, strategies, monitor performance and detect failures, thus improving the productivity and the efficiency of the complex system a city is. In summary, it turned out that 70% of the company’s product output was scrap, because they didn’t understand their processes. billion by 2025.

IT 59

IT Digital Transformation Manufacturing Modeling 59

Ontotext

MAY 22, 2023

When sales performance is analyzed and correlated with marketing data, for instance, it is critical to make sure that across the board there is good alignment regarding the categories of products, the regions, the suppliers and the relationships between them. Otherwise the results are nice diagrams that are useless or harmful.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

erwin

NOVEMBER 6, 2020

Semantic and Metadata Associations: erwin AIMatch automatically discovers and suggests relationships and associations between business terms and technical metadata to accelerate the creation and maintenance of governance frameworks.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Ontotext

FEBRUARY 7, 2024

These include ETL processes, searching, accessing, data cleansing, data creation, semantic data integration , and the IT infrastructure to support it. It requires a good information architecture – an information-centric data organization that is semantic and meaningful. All this requires a lot of resources.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Cloudera

NOVEMBER 10, 2021

Furthermore, Apache Ranger now supports Public Cloud objects stores like Amazon S3 and Azure Data Lake Store (ADLS). As suggested above, Sentry and Ranger are completely different products and have major differences in their architecture and implementations. Inherited model in Sentry Vs Explicit model in Ranger. and column ? *.

Data Lake 78

Data Lake Management Metadata Modeling 78