Ontotext

APRIL 6, 2023

Well, it’s all thanks to knowledge graphs. Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

OCTOBER 11, 2023

Are LLMs Knowledgeable? And Other Crazy Ideas) The official conference started with a bang: Xina Lunda Dong’s presentation: Generations of Knowledge Graphs : The Crazy Ideas and the Business Impact [ PPT ]. Quality Production – quality, End-to-End Minimum Viable Product (E2E MVP) experiences.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

datapine

MARCH 21, 2023

Table of Contents 1) What Are Column Charts & Graphs? 2) Pros & Cons Of Column Charts 3) When To Use A Column Graph 4) Types Of Column Charts 5) Column Graphs & Charts Best Practices 6) Column Chart Examples Data visualization has been a part of our lives for many many years now. What Is A Column Chart or Graph?

Visualization 174

Visualization Sales KPI Dashboards 174

Ontotext

MARCH 20, 2024

It’s a huge productivity loss.” ” Zenia Graph ‘s Salesforce Accelerator empowers your sales and marketing teams to overcome this challenge and unlock their true potential. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Ontotext

OCTOBER 25, 2023

Much awaited and long overdue, the only fully benchmarked graph database on the market, GraphDB , is now available on AWS Marketplace ready for enterprise adoption. It provides an easy and secure way for enterprises to empower their solutions with cutting-edge knowledge graph capabilities. Why GraphDB on AWS?

Cost-Benefit 64

Cost-Benefit Enterprise Marketing Management 64

Ontotext

APRIL 3, 2024

In this post we present you with insight gathered at the Knowledge Graph Forum during the panel on Financial Services. Read about the latest use cases and trends in the Financial Services industry and learn how Generative AI and LLMs complement with key capabilities of knowledge graphs. A graph can do that.

Technology 59

Technology Risk Digital Transformation Measurement 59

IBM Big Data Hub

JANUARY 26, 2024

In today’s automotive industry—with its rapid growth and increased market competition— improving equipment stability, reducing maintenance costs and improving production quality have become top priorities.

Cost-Benefit 80

Cost-Benefit Enterprise Technology KPI 80

Ontotext

JULY 20, 2023

Whether it’s a chatbot, a voicebot, or an enterprise search, our knowledge-based Conversational AI platform enables personalized interactions to increase customer satisfaction and improve the efficiency of businesses. Why Combine Knowledge Graphs and Conversational AI in Manufacturing and Industry?

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Ontotext

JANUARY 29, 2024

These will include developing a better understanding of AI, recognizing the role semantic metadata plays in data fabrics, and the rapid acceleration and adoption of knowledge graphs — which will be driven by large language models (LLMs) and the convergence of labeled property graphs (LPGs) and resource description frameworks (RDFs).

Strategy 52

Strategy Management Metadata Data-driven 52

Ontotext

NOVEMBER 16, 2023

It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. Most agree that it is not a platform or a commercial off-the-shelf product and that it should make data more accessible, secure, discoverable, and interoperable.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Ontotext

JULY 9, 2020

was very unlikely to bring anything meaningful, notes Phil Lewis in Smarter enterprise search: why knowledge graphs and NLP can provide all the right answers. It is tempting to imagine a future where a knowledge graph powered semantic search will become so sophisticated that we could even ask: “Is soup one of life’s great mysteries?”

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

Ontotext

JUNE 10, 2021

Graph Databases vs Relational Databases. With graph databases the representation of relationships as data make it possible to better represent data in real time, addressing newly discovered types of data and relationships. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Ontotext

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! How can you build knowledge graphs for enterprise applications? Use cases for knowledge graph technologies are diverse.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. Most of the leading market research firms consider graph technologies to be a “critical enabler.” The new task before leadership is now about fixing the data itself.

IT 69

IT Cost-Benefit Data-driven Technology 69

Ontotext

FEBRUARY 1, 2024

The challenge of complexity Knowledge models for taxonomy have responded to an increasing need for sophistication and expressiveness. Not only are these ontologies capable of representing any domain of knowledge, but the structure of the data model is also transparent and intelligible to both humans and machines.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

MARCH 8, 2023

Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 80

Technology Data-driven Machine Learning Sales 80

Rocket-Powered Data Science

JULY 6, 2021

Clearly, such a content delivery system is not good for business productivity. I believe that this product is good” is quite different from a post that states “Yeah, sure. I believe that this product is good. Contextual TAM enhances a CMS with knowledge-driven search and retrieval, not just keyword-driven.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Ontotext

APRIL 20, 2023

In our previous blog post, Bridging the Gap Between Industries: The Power of Knowledge Graphs – part I , we talked about starting the day with our smart car looking out for us, powered by knowledge graph technology. But knowledge graphs can transform more than the different aspects of a construction process.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

Ontotext

JULY 6, 2023

Knowledge organization (e.g., Changing the game with knowledge graphs So how does knowledge graph technology help enterprises in the Financial Services Industry become data-driven? It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

datapine

JUNE 7, 2022

Take a look at the graph above, comparing people with jobs to people on welfare. At first glance, the visual dynamics of the graph suggest people on welfare to number four times as many as people with jobs. Notice on the graph below, originally shared by Gizmodo , how much larger the differences look when truncating the y-axis.

Visualization 267

Visualization Metrics Statistics Dashboards 267

datapine

AUGUST 21, 2019

Exclusive Bonus Content: Not sure which graph and chart to use? That’s why, in this post, we’re going to go over 16 sales graphs and charts that will fuel your imagination and give you some useful resources. How Do You Know Which Graph To Use? He gets up and walks out, as you sit there digesting this quote. 1) Sales Performance.

Sales 235

Sales Dashboards KPI Visualization 235

Ontotext

MARCH 4, 2021

The Neworks of Data Behind the R&D of New Products. Developing innovative products in the dynamic landscape of today’s world is challenging. Together with the depth and richness of knowledge that R&D departments must constantly generate and maintain, grows the need for efficient data discovery and analysis of information.

Manufacturing 52

Manufacturing Reporting Management Interactive 52

Ontotext

FEBRUARY 9, 2024

If you store the ontology schema in a dedicated named graph, you can use a SPARQL CONSTRUCT query to collect the ontology schema statements, for example: CONSTRUCT {?s o} If you don’t store the ontology schema statements in a dedicated named graph, you can use the RDF file option. o} FROM <[link] WHERE {?s

Manufacturing 69

Manufacturing Modeling Interactive Business Intelligence 69

Ontotext

MAY 19, 2021

Expensive paywalls used by publishers, restrictive usage policies by scientific literature sources, a lack of consistency in the formatting and data locked away by proprietary software have all had detrimental effects on the dissemination of scientific knowledge. Tracking of Research Results. Just the Beginning.

Publishing 72

Publishing Measurement Data-driven Metrics 72

Ontotext

JULY 24, 2023

Very few are in production – and this topic has gone from research to applications very quickly. That means they are highly dependent on the quality of the knowledge base (data) being used as input. I am personally excited about the intersection of LLM and semantic standards ( knowledge graph ).

Modeling 98

Modeling Management Structured Data Data Architecture 98

Ontotext

SEPTEMBER 7, 2023

And then from there, give us the elevator pitch of graph. We’ve been around for 20-plus years focusing on semantic knowledge graphs. Graph technologies are a way to store and represent data in a more graphical way. That’s one of the key things I look at from graphs. Doug : Sure.

Technology 59

Technology Visualization Digital Transformation Management 59

datapine

JANUARY 6, 2022

For example, if you want to predict your sales for next month you can use regression analysis to understand what factors will affect them such as products on sale, the launch of a new campaign, among many others. This helps researchers and businesses to define pricing, product features, packaging, and many other attributes.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Ontotext

SEPTEMBER 30, 2021

Large enterprises have identified knowledge graphs as a solid foundation for making data FAIR and unlocking the value of their data assets. GraphDB is a leading RDF database that allows diverse data linking, indexing data for semantic search and enriching it via a text analysis plugin to build big knowledge graphs.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Ontotext

JULY 14, 2021

As a global leader in enterprise knowledge graph technology and semantic database engines, we have 20+ years of experience with knowledge graphs and their applications. We can address many of their challenges with our products – GraphDB and Ontotext Platform. So What Is It That We Do?

Management 52

Management Metadata Cost-Benefit Enterprise 52

Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? Why a Knowledge Graph?

Technology 75

Technology Enterprise Data Integration Management 75

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 Optimization 52

Ontotext

DECEMBER 16, 2020

In 2020, we continued to develop our leading database engine for management of knowledge graphs, GraphDB , and expanded it with a lot of new functionalities. We also continued to improve our knowledge graph platform. From Data Silos to Data Fabric with Knowledge Graphs.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Ontotext

MARCH 7, 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. The ideal knowledge base would comprise broad information, be dynamically updated on a regular basis, and be multilingual.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

Ontotext

OCTOBER 28, 2021

In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days. You can also listen to our on-demand webinar on the same topic or check out our use case brief.

Visualization 52

Visualization Interactive Knowledge Discovery Modeling 52

IBM Big Data Hub

FEBRUARY 2, 2024

That is when I discovered one of our recently acquired products, IBM® Databand® for data observability. This machine learning capability enables users to monitor data with minimal rule configuration and anomaly detection, even if they have limited knowledge about the data or its behavioral patterns.

Dashboards 95

Dashboards Statistics Machine Learning Enterprise 95

Smarten

NOVEMBER 28, 2023

When you provide access to augmented analytics solutions for your business users, you distribute knowledge and engender fact-based decision making, helping your users to accurately complete tasks and plan for future success. Team members will be expected to access and use data and augmented analytics tools to make decisions.

Analytics 67

Analytics Digital Transformation Cost-Benefit Testing 67