article thumbnail

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

Ontotext

We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. Some of this knowledge is locked and the company cannot access it. into structured knowledge that can be processed by machines. ” Then this knowledge can be downloaded from the network. Source: Economy.bg.

article thumbnail

Learning, Innovation and Business Change

DataFloq

Creating new knowledge is an intuitive human endeavour and it brings value and change to individuals, companies and society by shedding light the patterns, practices, inconsistencies and paradoxes in the observed world. Knowledge creates a competitive advantage for organisations and corporations because researching existing problems triggers learning episodes and helps to identify resolutions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Education Trends 2022: Data Science in schools

DataFloq

Combining large amounts of information with existing tools is possible using the formalized knowledge discovery models in Data Science or Data Mining techniques. Data Science is a growing field that has emerged in many key areas of our world.

article thumbnail

Understanding Social And Collaborative Business Intelligence

datapine

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. It also facilitates BI tool user adoption, allowing the organization to share knowledge and resources.

article thumbnail

Business Intelligence System: Definition, Application & Practice

FineReport

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. In daily work, when business develops to a relatively large scale, we will all face variable management problems.

article thumbnail

Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Semantic technology is a broad technological term that covers specific technological approaches, principles and methodologies for managing data and knowledge. This will lay solid foundations for the rest of the work necessary for implementing a full, working knowledge graph solution.

article thumbnail

How Do Super Rookies Start Learning Data Analysis?

FineReport

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen.

article thumbnail

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

Ontotext

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. Building a Knowledge Graph Application with metaphactory.

article thumbnail

Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Semantic technology is a broad technological term that covers specific technological approaches, principles and methodologies for managing data and knowledge. This will lay solid foundations for the rest of the work necessary for implementing a full, working knowledge graph solution.

article thumbnail

Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). When analysing pharmacokinetic data to determine the degree of exposure of a drug and associated pharmacokinetic parameters (e.g.,

Metrics 56
article thumbnail

Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

Since we work in Google’s Search Ads group, the long-term effects our studies focus on are ads blindness and sightedness , that is, changes in users’ propensity to interact with the ads on Google’s search results page. Second, even if we could account for all of them, it would still be difficult to predict which ones interact with the A/B treatment (most of them don’t), and what the effect would be.

article thumbnail

Understanding Social And Collaborative Business Intelligence

datapine

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. It also facilitates BI tool user adoption, allowing the organization to share knowledge and resources.

article thumbnail

Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

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. First, low marginal cost of serving users allows the LSOS to pursue a business model in which it only monetizes through rare events while making the bulk of user interactions free.