The Unofficial Google Data Science Blog

OCTOBER 7, 2015

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. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1].

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

AWS Big Data

SEPTEMBER 26, 2024

Solution overview The AWS Serverless Data Analytics Pipeline reference architecture provides a comprehensive, serverless solution for ingesting, processing, and analyzing data. At its core, this architecture features a centralized data lake hosted on Amazon Simple Storage Service (Amazon S3), organized into raw, cleaned, and curated zones.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

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 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. Today, users from the general public, journalists, etc.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. “Complexity is empowering”, argues Howard G. Cunningham. The question is not how to avoid complexity but how to embrace it and take advantage of it.”

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

AUGUST 22, 2023

However, for this to happen, there needs to be context for the data to become knowledge. Worse, and according to Gartner, upward of 80% of enterprise data today is unstructured which further exacerbates the loss of knowledge, insights, and the wisdom needed to make effective business choices.

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

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.). When analysing pharmacokinetic data to determine the degree of exposure of a drug and associated pharmacokinetic parameters (e.g., Mean residence time. Terminal disposition rate constant. x)), pain_df).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Ontotext

AUGUST 16, 2019

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. There, they can turn the acquired knowledge into a practical solution to their specific business case and strategize about its implementation.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Ontotext

APRIL 4, 2019

We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Some of this knowledge is locked and the company cannot access it. into structured knowledge that can be processed by machines. On March 19, 2019, Economy.bg Machines Against Fake News.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

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. According to Fox et al., This trust must be paramount when human lives are at stake.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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

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. And an LSOS is awash in data, right?

Experimentation 42

Experimentation Statistics Metrics Measurement 42

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. Knowledge graph development: The Graph CoE should lead the development of each of the knowledge graph components.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52