Remove Data Collection Remove Measurement Remove Recreation/Entertainment
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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

To reduce its carbon footprint and mitigate climate change, the National Hockey League (NHL) has turned to data and analytics to gauge the sustainability performance of the arenas where its teams play. The most important thing about any sustainability platform is you cannot impact what you cannot measure,” Mitchell says.

Metrics 144
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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

By analyzing the output and functionality of a technology, an AI system can infer the underlying processes and recreate them, effectively stealing the IP. Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data. This raises legal and ethical implications.

Risk 126
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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

7) Security (airports, shopping malls, entertainment & sport events). Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…).

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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

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.

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Remember my stress earlier on measuring micro-outcomes?). Framing the Opportunity.

Metrics 143
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Of Muffins and Machine Learning Models

Cloudera

blueberry spacing) is a measure of the model’s interpretability. We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

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Digital Marketing & Analytics: Five Deadly Myths De-mythified!

Occam's Razor

The content of the letter could be customized to Stephanie's data/behavior. In large measure that is because of the rise of programmatic buying. Along the way, rather than over-indexing on a data obsession before everything, use data as an aid to keep getting smarter. RM+RP+RT is finally possible. Fewer guesses.