Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Traditionally they are text-based but audio and pictures can also be used for interaction.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Rocket-Powered Data Science

JULY 6, 2021

I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. 1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

datapine

NOVEMBER 27, 2019

DQM consists of acquiring the data, implementing advanced data processes, distributing the data effectively and managing oversight data. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

MAY 20, 2020

I have written articles in many places. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them.

Data Science 241

Data Science Big Data Internet of Things Data mining 241

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 128

B2B Big Data Sales Cost-Benefit 128

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them.

Modeling 84

Modeling Big Data IoT Data Warehouse 84