Cloudera

OCTOBER 11, 2021

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Cloud Speed and Scale. Also, enterprises can tap into new technologies like Kubernetes.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

Depict Data Studio

JULY 13, 2021

a school district’s worth of students), it’s still unlikely you need statistics, unless you are trying to answer a scientific-type question (and what scientific-type questions nonprofits with a lot of data might ask is for another blog post on another day). . & Alison Nagel, Ph.D of Partnerships for Strategic Impact. And here’s why!

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Ontotext

AUGUST 8, 2024

A great example of how knowledge graphs have helped an industry advance their work is clinical diagnostics. As these patients are waiting to see if they have potentially life-altering issues – like cancer, for example – and results quality, integrity, and repeatability are crucially important to these labs. Sounds easy, right?

Informatics 64

Informatics Snapshot Software Testing 64

Ontotext

NOVEMBER 25, 2021

In our previous blog post of the series, we covered how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts. Today we’ll deal with the big issue of scaling, tackling it on two sides: what happens when you have more and faster sources of data? There are two ways to handle this.

Visualization 98

Visualization Interactive Data-driven Data Science 98

FineReport

OCTOBER 22, 2019

Infographic is not a trendy word now, you must have seen it in your daily life whether you notice it or not. It is a clipped compound of “information” and “graphics”, which represents information, data or knowledge intended to present information quickly and clearly. What is Infographic? Early Infographics. Recent Infographics.

Visualization 76

Visualization Statistics Dashboards Reporting 76

Ontotext

AUGUST 31, 2023

Have you ever been in a conversation where someone mentioned a “knowledge graph,” only to realize that their description was completely different from what you had in mind? What is a knowledge graph? Just a few years ago, a harmless mix-up like this one would hardly catch anyone’s attention.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Ontotext

MAY 18, 2020

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. The entire history and practice of modern medicine, argues Fry, is built on finding patterns in data. What are supercomputers and why do we need them?

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Ontotext

MAY 25, 2023

The Knowledge Graph Conference (KGC) has proved to be a must-attend event for all graph enthusiasts. Held from May 8-12 at Cornell Tech in New York, the conference brought together a vibrant community of experts, practitioners and vendors in the graph and semantic tech space.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

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. This blog post goes through the basics of the joint solution delivered by Ontotext and metaphacts to speed up this journey. Common Challenges in Knowledge Graph Projects.

Interactive 52

Interactive Data-driven Visualization Modeling 52

datapine

JULY 24, 2019

It’s often said that knowledge is equal to power. Business intelligence dashboard design consolidates charts and graphs on a single screen, providing the reader with a big picture of the situation it is assessing. Data has never been more readily accessible. An online BI dashboard. How can you create one?

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

Sisense

APRIL 10, 2020

One of the most-asked questions from aspiring data scientists is: “What is the best language for data science? One of the most-asked questions from aspiring data scientists is: “What is the best language for data science? Both are extremely useful for an array of data science applications, including Natural Language Processing (NLP).

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Ontotext

SEPTEMBER 11, 2024

Designing Responsive and Relevant Software Engineering Curricula Using Semantic Interoperability The first paper we want to highlight is Extracting a Body of Knowledge as a First Step Towards Defining a United Software Engineering Curriculum Guideline by Anton Kiselev. The labeled property graphs were converted into an RDF-compliant format.

Machine Learning 52

Machine Learning Software Data Integration Modeling 52

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 Dashboards 52

Ontotext

AUGUST 5, 2020

Interoperable data refers to formal, accessible, shared, and broadly applicable language for knowledge representation which allows for data integration with other data sources without ambiguity. As early as in 2016, the leaders of the G20 voiced their support to research based on open science and the FAIR principles.

Metadata 52

Metadata Insurance Manufacturing Publishing 52

Occam's Razor

OCTOBER 24, 2016

Why is this formula material? The first part of the equation, for better or for worse, improves in an evolutionary manner. The second part of the equation most frequently improves in a revolutionary manner. The challenge for Senior Leaders is that revolutions seem a lot more attractive and hence they charge full speed ahead. Evolution works.

Metrics 147

Metrics Marketing Optimization Modeling 147

Ontotext

JULY 26, 2019

In these efforts to improve the way we connect with content, another term has found its way to co-occur (to use the industry-specific lingo) with semantic technology and it is the term knowledge graph. Not surprisingly, everyone seems to have or want to have a knowledge graph. Why a Knowledge Graph?

Technology 40

Technology Data Integration Enterprise Structured Data 40

Ontotext

NOVEMBER 25, 2022

I will give you an example of enterprises from the life sciences and healthcare verticals. So five years ago, significant demand came from pharma, life sciences and publishing and media. Kiryakov, semantic technology has been increasingly on the rise in popularity in recent years. Atanas Kyriakov : A lot has changed.

Technology 52

Technology Management Manufacturing Publishing 52

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. Click To Tweet What Are Graph Technologies And Why Should C-level Executives Care?

Digital Transformation 52

Digital Transformation IT Cost-Benefit Data-driven 52

Ontotext

MAY 17, 2019

From the discovery of penicillin to gene editing, Life Sciences and Pharma have helped treat and prevent many life-threatening diseases. Modern medicine and the Pharmaceutical industry have made tremendous breakthroughs over the past few centuries. The Value of Artificial Intelligence for Pharma R&D.

Slice and Dice 40

Slice and Dice Unstructured Data Dashboards Optimization 40

Ontotext

AUGUST 30, 2024

LLD Inventory is a semantic data fabric integrating data from disparate sources into knowledge graphs. It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. This vision is becoming a reality.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

LLD Inventory is a semantic data fabric integrating data from disparate sources into knowledge graphs. It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. This vision is becoming a reality.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

MAY 2, 2024

Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

IBM Big Data Hub

NOVEMBER 14, 2022

This means moving away from confusing charts, dashboards, graphs and complicated visuals. Instead, organizations need to humanize data and AI by creating visually compelling stories that resonate with people and transform data into actionable knowledge that drives business results.

Data-driven 52

Data-driven Visualization Data Architecture Machine Learning 52

Sisense

JULY 22, 2020

We have something called the Knowledge Graph that gathers all kinds of intelligence so we can give our customers smartness out of the box when we deliver our analytics, so what Guy and I collaborate on is on the under-the-hood side of where Sisense goes next. Ashley Kramer is our new chief product and marketing officer.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

Ontotext

MAY 19, 2021

The Open Science (or Open Scholarship) movement has been gaining momentum, especially since the European Commission has committed itself to ensuring open access to all funded research in April 2016. Ontotext’s knowledge graph-based technologies are seen as a key to realizing the benefits of Open Science.

Publishing 72

Publishing Measurement Data-driven Metrics 72

Occam's Razor

JULY 26, 2010

We try to make sense of what they are saying. When we hear nothing we try to bludgeon them, hoping for the best. My hope in this post is to share some simple tips with you that might make your reports and analysis speak to you a bit more. Then, a little bit more. Bottom-line: Quote, quotes, quotes. Bottom-line: Quote, quotes, quotes. You betcha!

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

OCTOBER 14, 2014

Let me admit right away that setting targets is a complex art and science. We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. In this type of an environment, I've frequently stressed the value of identifying targets for your key performance indicators.

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

APRIL 23, 2012

Makes for smart organizations. Blah, blah, blah. You know the drill: Measure. Find insights. Take action. (Or Or die trying.) Ascend to corporate heaven. While there is a great deal of appreciation for the power of metrics/data, I've come to realize that Sr. It communicates to them how their personal success will be measured. But it gets worse.

Measurement 154

Measurement Key Performance Indicator Metrics KPI 154

The Unofficial Google Data Science Blog

MARCH 24, 2025

This blog post shares a set of questions that were answered by Google data scientists and how they did. See how much you agree with the authors view of the importance of these questions in assessing practical data science ability. How much knowledge of statistics and optimization is required?

Statistics 58

Statistics Testing Interactive Sales 58