FineReport

JULY 16, 2021

It is a process of using knowledge discovery tools to mine previously unknown and potentially useful knowledge. It is an active method of automatic discovery. When the amount of data onto an enterprise is getting larger, the data analysis requires deeper insights and interactivity. Data Visualization.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

AWS Big Data

SEPTEMBER 26, 2024

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 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

Ontotext

AUGUST 22, 2023

By establishing a layer on top of existing enterprise systems and data warehouses, semantic metadata unlocks incredible new ways to interact with information, forging new experiences out of exploration and discovery. Additionally, applying semantic metadata removes the vicious circle of drowning in data but thirsting for information.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

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 52

Technology Knowledge Discovery Interactive Enterprise 52

Ontotext

DECEMBER 1, 2023

Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata. She also shared the architecture behind the vision of building useful semantic search, valuable insights platform, and powerful knowledge discovery environment.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

AUGUST 16, 2019

The training is structured to follow the steps of building a simple prototype to test the feasibility of the technology with hands-on guidance by experienced instructors. In the end, for those who have advanced in conceptualizing their prototype and would like to go beyond, there is an opportunity for a one-on-one meeting with the instructors.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The openness of the Domino Data Science platform allows us to use any language, tool, and framework while providing reproducibility, compute elasticity, knowledge discovery, and governance.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

APRIL 4, 2019

Milena Yankova : If they decide to work in IT, I would advise them to better understand the value of the data that machines collect from their interactions with us. Economy.bg: What would you advise your children? Because humans give machines a lot of information.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

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. But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. Conference on Knowledge Discovery and Data Mining, pp. This trust must be paramount when human lives are at stake.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Ontotext

OCTOBER 28, 2021

This might be sufficient for information retrieval purposes and simple fact-checking, but if you want to get deeper insights, you need to have normalized data that allows analytics or machine interaction with it. Knowledge Graph Visualization and Exploration with metaphactory. Building a Knowledge Graph Application with metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

FEBRUARY 21, 2024

This dramatically simplifies the interaction with complex databases and analytics systems. Join us as we demystify the methodologies empowering such implementations, shed light on their range of capabilities, and detail how Ontotext is harnessing these technologies to bring transformative enhancements to our data interaction landscape.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. The goal should be to create value without really caring what is being used at the backend.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52