Enterprise, Interactive and Knowledge Discovery

Understanding Social And Collaborative Business Intelligence

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence?

Business Intelligence

Business Intelligence Knowledge Discovery Dashboards Unstructured Data

4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

APRIL 15, 2024

Coupled with search and multi-modal interaction, gen AI makes a great assistant. Various initiatives to create a knowledge graph of these systems have been only partially successful due to the depth of legacy knowledge, incomplete documentation and technical debt incurred over decades.

Manufacturing

Manufacturing Contextual Data Knowledge Discovery Data Lake

Understanding Social And Collaborative Business Intelligence

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence?

Business Intelligence

Business Intelligence Knowledge Discovery Unstructured Data Dashboards

Webinars

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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Business Intelligence System: Definition, Application & Practice

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Hoewever, it can be a double-edged sword for enterprises.

Business Intelligence

Business Intelligence Informatics Data Warehouse Data mining

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications.

Enterprise

Enterprise Knowledge Discovery Risk Machine Learning

Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

SEPTEMBER 26, 2024

Building upon this reference architecture, this solution demonstrates how enterprises can use Amazon Bedrock to enhance their data assets through automated data enrichment. CloudShell is a browser-based shell environment provided by AWS that allows you to interact with and manage your AWS resources directly from the AWS Management Console.

Data Lake

Data Lake Cost-Benefit Unstructured Data Modeling

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

APRIL 6, 2023

Knowledge graphs can also enable the creation of “digital twins”, which make sense of the collected data from various sensors in different systems, spanning the entire vehicle lifecycle. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? The possibilities are endless!

Manufacturing

Manufacturing Cost-Benefit Knowledge Discovery Optimization

KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

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

Metadata Sales Machine Learning Consulting

Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Get these wrong and chances are your enterprise processes and systems will suffer. With semantic metadata, enterprise data gets linked to one another and to external sources. How to Get a Semantic Edge?

Metadata

Metadata Knowledge Discovery Big Data Enterprise

GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

OCTOBER 28, 2021

FROCKG (Fact Checking for Large Enterprise Knowledge Graphs) is a Eurostars-2 project that aims to develop efficient approaches to ensure the veracity of facts contained in enterprise knowledge graphs. Knowledge Graph Visualization and Exploration with metaphactory. LinkedLifeData Inventory Pre-loaded In GraphDB.

Visualization

Visualization Interactive Knowledge Discovery Dashboards

SIM Cards And Knowledge Graphs – Unseen But Valuable Technologies

Ontotext

AUGUST 10, 2023

Perhaps another good example, if you’ve ever asked about drug interactions on WebMD, you likely got an ad for a related product. This is possible because of knowledge graphs – powerful and dynamic databases that enable cross-system connections, semantic interoperability, and relationship support.

Technology

Technology Knowledge Discovery Interactive Enterprise

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

APRIL 4, 2019

The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. How do you help?

Recreation/Entertainment

Recreation/Entertainment Testing Enterprise Knowledge Discovery

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

JANUARY 14, 2016

In each case, users engage with the service at will and the service makes available a rich set of possible interactions. As with any enterprise, the goal of the service provider is to better satisfy its users and further its business objectives.

Experimentation

Experimentation Statistics Metrics Measurement

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

AUGUST 21, 2024

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery

Knowledge Discovery Cost-Benefit Data-driven Metadata

Data Leaders Brief

Understanding Social And Collaborative Business Intelligence

4 ways generative AI addresses manufacturing challenges

Webinars

Trending Sources

Understanding Social And Collaborative Business Intelligence

Webinars

Business Intelligence System: Definition, Application & Practice

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Enrich your serverless data lake with Amazon Bedrock

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Why Establishing Data Context is the Key to Creating Competitive Advantage

GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

SIM Cards And Knowledge Graphs – Unseen But Valuable Technologies

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Variance and significance in large-scale online services

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

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