Ontotext

AUGUST 22, 2023

It also prevents them from maximizing ROI, reducing costs, and building/sustaining efficient processes and software solutions that underpin critical operations. Enter the Semantic Edge Era: How to Derive Value from Semantic Metadata The problem with Big Data is not the data itself.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

CIO Business Intelligence

APRIL 4, 2024

You can use generative AI to auto build a semantic layer on top of your data. But AI can automate the creation of that semantic layer for you. Time to value is dramatically reduced when you select a solution from an existing off-the-shelf vendor that has added AI features to software you’ve already implemented.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

Ontotext

AUGUST 3, 2023

Buildings That Almost Think For Themselves About Their Occupants The first paper we are very excited to talk about is Knowledge Discovery Approach to Understand Occupant Experience in Cross-Domain Semantic Digital Twins by Alex Donkers, Bauke de Vries and Dujuan Yang.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

Jet Global

NOVEMBER 20, 2023

Over the last few decades, we’ve seen at least three distinct generations of BI technologies introduced to the market: First Generation Products like Crystal Reports, Brio, ProClarity and Siebel Analytics primarily offered thick-client reporting solutions to replace the historically manual production of “paper reports” ubiquitous in every company.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

Ontotext

MARCH 8, 2023

Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. For many organizations, however, the question remains, “Is it the right solution for us?” Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Paul Blogs on BI

DECEMBER 6, 2022

While it is currently dominated by PowerBI and Tableau with efforts from Looker, Sisense and Thoughtspot to get some attention, I do not see any BI solution out there that is as capable as Web Intelligence or Crystal Reports for comprehensive BI reporting. Firstly, Let’s take stock of the current BI landscape.

Recreation/Entertainment 98

Recreation/Entertainment Reporting Consulting IT 98

Paul Blogs on BI

FEBRUARY 1, 2021

Instead of taking BusinessObjects along on the HANA joyride (or even buying Tableau which would have been an option back then), SAP determined they needed a new BI solution and decided to build it themselves. It was called Lumira and it was a very expensive failure. Its current name is SAC (SAP Analytics Cloud). and now to BI 4.3,

Strategy 141

Strategy Business Intelligence Data Processing Reporting 141

DataKitchen

APRIL 28, 2021

Tools vendors are creating their own definitions of “data fabric” to promote their own product and solution offerings. Whenever a new technology or architecture gains momentum, vendors hijack it for their own marketing purposes. This is happening to the term “data fabric.”

Statistics 246

Statistics Optimization Technology Data Analytics 246

Ontotext

SEPTEMBER 30, 2021

This blog post goes through the basics of the joint solution delivered by Ontotext and metaphacts to speed up this journey. At the heart of our solution are Ontotext’s GraphDB and metaphacts’ metaphactory. It helps unlock the value of data assets to build flexible, agile solutions that fit specific business needs.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Paul Blogs on BI

FEBRUARY 15, 2023

My standard response is to use the best tool for the solution required. This is particularly true when you look at the BusinessObjects semantic layer, the paginated reporting capabilities, the security model, the scheduling and publishing capabilities and the completeness of the API’s – just to name a few.

Business Intelligence 52

Business Intelligence Strategy Reporting Publishing 52

Ontotext

FEBRUARY 1, 2024

The widespread adoption of RDF as a semantic data model transformed simple taxonomies into extensible and expressive ontologies. With great solutions, come new challenges. Our engineers developed innovative solutions to each of these challenges. Taxonomy to ontology Next came the migration from taxonomy to ontology.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

SEPTEMBER 15, 2020

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. Ontotext uses an automatically generated GraphQL API to support efficient integration into presentation layers.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

SEPTEMBER 24, 2020

Can Semantic Technology Be A Digital Twin Enabler? And it is true that digital twins span a wide range of industries and applications and are a multi-faceted concept, including many different operational layers. And all of the above are what semantic technology, and more specifically semantic data modeling are geared towards.

IT 59

IT Digital Transformation Manufacturing Modeling 59

Cloudera

NOVEMBER 15, 2022

Applications whose latency and performance requirements can be met by using an object store for the persistence layer benefit significantly with lower cost of operations in the cloud. While it is possible to emulate a hierarchical file system view over object stores, the semantics compared to HDFS are very different.

Snapshot 76

Snapshot Cost-Benefit Reporting IT 76

Ontotext

APRIL 20, 2023

They are using GraphDB with BrickSchema to leverage semantic technologies in their building automation solutions. Thanks to the dynamic nature of knowledge graphs, companies can add additional layers of complexity to address their changing business demands. which makes it easy to use a semantic approach for representing them.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

O'Reilly on Data

JANUARY 9, 2024

The source code tells us exactly what the computer is doing, at a reasonable layer of abstraction. We need that layer of abstraction. But that abstraction layer must also be deterministic. Why do we need the abstraction layer to be deterministic? And that’s important: that’s what allows us to debug successfully.

Modeling 280

Modeling Software Testing Optimization 280

AWS Big Data

JUNE 1, 2023

The DJL model zoo includes a wide variety of pre-trained models for image classification, semantic segmentation, speech recognition, text embedding generation, question answering, and more. You can adapt the provided solution for your use case and choose an alternative model from the model zoo or even provide your own model.

Deep Learning 62

Deep Learning Data Analytics Analytics Machine Learning 62

Cloudera

SEPTEMBER 17, 2020

A couple of insurance companies were not able to visualize weather data together with time-sensitive incident data in their traditional visualization and data warehouse solutions, leaving room for doubt. Our solution: Cloudera Data Visualization. It is all drag and drop and full of hints for the curious. All forms of data!

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Paul Blogs on BI

JULY 8, 2019

brings its powerful semantic layer to the Webi document so you can create a new data model based on existing objects (dimensions, measures, variables) from an existing Webi document to use as a source for other Webi documents. In addition, BI 4.3

Dashboards 53

Dashboards Snapshot Business Intelligence Visualization 53

Cloudera

OCTOBER 15, 2021

Ozone is also fully compatible with S3 API*, establishing it as a future proof solution and enabling CDP Hybrid Cloud to meet the growing demand for a hybrid data cloud. . The FSO feature provides file system semantics (hierarchical namespace) efficiently while retaining the inherent scalability of an object store.

Testing 87

Testing Measurement Optimization Metadata 87

Birst BI

DECEMBER 18, 2018

What do you think makes Birst’s approach to AI-enabled capabilities different than other solutions in the market? We believe our solution is more personalized, trusted and impactful. What’s exciting is that these insights are generated instantly and uncover factors that may have been previously unknown.

KPI 89

KPI Analytics Machine Learning Dashboards 89

Ontotext

FEBRUARY 14, 2024

It is a demonstrator designed to showcase a field in which Ontotext has built a number of solutions applying semantic technology to enhance publishing content and editorial workflows. You can also use it as a service to integrate in your own products or we can feature it as part of a broader custom solution we build for you.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Octopai

DECEMBER 10, 2019

Octopai‘s new Automated Business Glossary module provides a comprehensive solution to these obstacles. Second, it links all terms (physical, semantic and presentation layer) across all reporting systems connected to Octopai with the data warehouse, making it SO MUCH EASIER to manage one’s metadata.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

Paul Blogs on BI

MARCH 25, 2018

The key to BusinessObjects huge global success over the last 25 years is the semantic layer with its unique ability to present simple business terms to users that they can drag and drop and apply conditions and formulas to without writing any SQL or needing to know the underlying data.

Insurance 66

Insurance Reporting Dashboards Strategy 66

Birst BI

AUGUST 23, 2018

Read the full Gartner report titled “Doing Machine Learning Without Hiring (More) Data Scientists” to learn proven solutions for successful pilots. This new metric can then be networked into the governed semantic layer. We are the global Data Science team supporting all Infor industries & solutions.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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.

Unstructured Data 128

Unstructured Data Dashboards Business Intelligence Data Governance 128

Ontotext

FEBRUARY 26, 2024

If you take the time to work through a unified, conceptual model based on both industry and semantic standards, controlled vocabularies, and merging the relevant ontologies and taxonomies, it will take time and thinking. Yet, the solution is relatively simple. RDF vs LPG? At the bottom, we have the sea of data silos.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Cloudera

FEBRUARY 1, 2022

Yes, they are complete ML solutions that are ready to deploy with a single click in Cloudera Machine Learning (CML), but they can also be repurposed to be used in other projects. According to its description, Deep Learning for Image Analysis is an AMP that “demonstrates how to build a scalable semantic search solution on a dataset of images.”

Deep Learning 106

Deep Learning Machine Learning Modeling Data Science 106

AWS Big Data

NOVEMBER 15, 2023

Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions. Each CDH dataset has three processing layers: source (raw data), prepared (transformed data in Parquet), and semantic (combined datasets).

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

AWS Big Data

MARCH 1, 2023

Conventional solutions involve lexical keyword search or regular expression matching, which are susceptible to data quality issues such as absent column names or different column naming conventions across diverse datasets (for example, zip_code, zcode, postalcode ).

Data Lake 83

Data Lake Deep Learning Modeling Interactive 83

CIO Business Intelligence

JULY 14, 2023

You’re going to be five years out here doing a moonshot while your competitors layer on top of everything that’s already available.” That includes using these emerging stacks to significantly simplify assembling a solution from a mix of open source and commercial options. You really have to take what’s already there.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

Ontotext

FEBRUARY 12, 2024

With the disaggregation of the data stack and profusion of tools and data available, data engineering teams are often left to duct-tape the pieces together to build their end-to-end solutions. This quickly becomes difficult to scale with data discovery and data version issues, schema evolution, tight coupling, and a lack of semantic metadata.

IT 64

IT Metadata Data Quality Data Lake 64

Howard Dresner

DECEMBER 14, 2013

Complexity can be hidden behind well-designed semantic layers. And I like the community-based approach to developing solutions and UX / IX design; this can make for more durable and more value-producing software. They’ll take the path of least resistance. And Twitter encourages over-simplification.

Business Intelligence 50

Business Intelligence Sales Data Processing Consulting 50

AWS Big Data

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. You can integrate different technologies or tools to build a solution. The solution integrates data in three tiers.

Unstructured Data 117

Unstructured Data Metadata Management Analytics 117

Ontotext

MARCH 23, 2023

Unlike traditional data storage systems, which rely on a central repository, a data fabric utilizes a layer over all data sources. It uses formal semantics to represent real-world facts and then applies automated reasoning to extract further knowledge out of these facts.

Management 52

Management Metadata Unstructured Data Data Integration 52

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. OpenSearch Service provides a full suite of capabilities, including a vector database, semantic search, and log analytics engine.

Snapshot 93

Snapshot Dashboards Visualization Metrics 93