Peter James Thomas

APRIL 3, 2020

Introduction. I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. © Jennifer Thomas Photography – view full photo.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Cloudera

SEPTEMBER 20, 2022

Introduction. This blog is not intended to be comprehensive, but rather intentionally brief. This blog is not intended to be comprehensive, but rather intentionally brief. 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.”

Deep Learning 84

Deep Learning Cost-Benefit Risk Data-driven 84

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. Introduction. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Of course!!”

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 22, 2019

Introduction. Introduction. Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Smarten

DECEMBER 3, 2023

Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. Maybe you just want to understand the analytics solution market better.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. CRM, ERP, EHR/EMR) or portals (e.g., intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52