Remove Data Collection Remove Metrics 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. Mitchell says the league is thinking of NHL Venue Metrics in the same way. “We SAP is the technical lead on NHL Venue Metrics.

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Using DataOps to Drive Agility and Business Value

DataKitchen

GE formed its Digital League to create a data culture. One of the keys for our success was really focusing that effort on what our key business initiatives were and what sorts of metrics mattered most to our customers. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It

Metrics 211
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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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Of Muffins and Machine Learning Models

Cloudera

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. So, we have workspaces, projects and sessions in that order.

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What is an Analysis Report & How to Create it: Templates & Samples

FineReport

However, sometimes we may find some inconveniences in the process of data collection and data visualization. For example, when making routine work analysis reports, we find it is inconvenient to re-summarize the latest data and recreate a new report, especially when the data is in a large volume.

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AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

They have different metrics for judging whether some content is interesting or not. Yes, computers can make a nice song to entertain us. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future. Milena Yankova : That’s the challenge!

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The NBA’s digital transformation is a game-changer

CIO Business Intelligence

Bhagavathula also cites the development of several machine learning models that evaluate “customer churn metrics” for how engaged fans are with the NBA’s products and a “game recommendation model” that relies on fan behavior and usage of the application to improve the personalization and customization for each fan.