datapine

SEPTEMBER 16, 2022

Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

datapine

DECEMBER 28, 2021

As businesses are often forced to follow a difficult-to-interpret market road map, statistical methods can help with the planning that is necessary to navigate a landscape filled with potholes, pitfalls, and hostile competition. Statistics are infamous for their ability and potential to exist as misleading and bad data. Scientists!

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

JUNE 7, 2022

1) Misleading Data Visualization Examples. 3) The Impact Of Bad Data Visualizations. But while that may be the case, people are duped by data visualizations every day. Bad data visualizations come in many forms, with some more obvious than others. Your Chance: Want to create your own data visualizations for free?

Visualization 267

Visualization Metrics Statistics Dashboards 267

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

Unstructured Data 87

Unstructured Data Recreation/Entertainment Structured Data Reporting 87

datapine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. Coming in at 92 in the TOP500 was Calcul Québec’s Narval (GPU), a supercomputer dedicated to scientific research in Québec and Canada. Rmax [TFlop/s], 51,720.76

Informatics 97

Informatics Modeling Testing Technology 97

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. Methods for explaining Deep Learning. See Ribeiro et al. 2016) for an example of this technique (LIME).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Alation

JULY 8, 2021

A central challenge for modern organizations is no longer gathering data — it’s navigating a veritable forest of it. Data presents an opportunity. Data-driven businesses know this. They ask: How can we ensure we’re using data to grow smarter? A Mess of Data: The Data Intelligence Challenge.

Software 52

Software Testing Data-driven Modeling 52

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Cloudera

SEPTEMBER 20, 2022

This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Data — where does it come from? Introduction.

Deep Learning 86

Deep Learning Cost-Benefit Risk Data-driven 86

Domino Data Lab

APRIL 24, 2019

This blog post provides insights on how to apply Natural Language Processing (NLP) techniques. In this blog post, we address the question: “ Can data science help us make sense of the Mueller Report?” Gathering and analyzing data in a scientific manner is a great way to combat ignorance and draw our own conclusions.

Data Science 106

Data Science Reporting Analytics Machine Learning 106

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 84

Data Governance Metadata Data-driven Enterprise 84

Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. What the heck is Artificial Intelligence? Artificial Intelligence | Future | Kids. AI | Now | Global Maxima.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Data Science and Beyond

JANUARY 8, 2017

All formulas are based on numbers that the authors call constants , despite the fact that numbers such as the average customer lifespan or retention rate are clearly not constant in this context (since they’re estimated from the data and used as projections into the future). Getting serious with the lifetimes package.

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles . We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

IBM Big Data Hub

AUGUST 1, 2022

Data is everywhere. The thing is, we’re so focused on conquering our data that we often forget this battle to understand it has been one we’ve been fighting since the beginning of time. However, we’ve always overcome this and been able to synthesize and communicate our data findings throughout the years. . ” .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Risk 98

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why do we have data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

FEBRUARY 20, 2020

Data: Fertilizer for Innovation. Data helps with both of these challenges. Data helps with both of these challenges. Data is the mechanism for resolving questions. In a data-driven organization, ideas and solutions can come from anywhere. The Role of the Chief Data Officer (CDO). Hurdles quickly emerge.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52