Data Collection Data-driven Interactive Recreation/Entertainment 
Smart Data Collective
OCTOBER 13, 2021
Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. We mentioned in the past that big data has been very valuable for Hollywood. Professionals throughout the industry are looking for ways to integrate big data into their jobs.
CIO Business Intelligence
JULY 5, 2022
When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.
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Rocket-Powered Data Science
JULY 7, 2019
AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).
CIO Business Intelligence
JULY 1, 2022
When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.
CIO Business Intelligence
MAY 16, 2023
The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.
Occam's Razor
SEPTEMBER 15, 2014
In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. When you analyze the data in Google Analytics (or Adobe or WebTrends or Webtrekk), this data will be in your Campaigns folder waiting for you to some pretty magnificent analysis. Tag your mobile website.
Domino Data Lab
AUGUST 20, 2019
Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.
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