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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

In October, the league, with partner SAP, launched NHL Venue Metrics, a sustainability platform that teams and their venue partners can use for data collection, validation, and reporting and insights. Sustainability is all about innovation and business optimization. Sustainability is all about continuous business improvement.

Metrics 141
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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken. Clinical Trials.

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Data Privacy in the Digital Age: A Right or a Luxury?

Smart Data Collective

What’s ironic is that very few of the businesses collecting our data actually have the expertise to use it to our benefit, but it’s still valuable for them because it helps them stay ahead of their competitors. For instance, Facebook’s decision to buy WhatsApp in 2014 was based on data collected via the Onavo VPN.

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QlikView vs Qlik Sense vs FineReport, who is better BI tool in 2023?

FineReport

Introduction to Qlik Sense Qlik Sense is an interactive BI product released by QlikTech in 2014. This is precisely what is often needed in many enterprise scenarios, such as warehouse management, store management, and employee data management. Teaching resources are mainly in English.

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built.

Metrics 58
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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. OTexts, 2014. Forecasting data and methods". [2]

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds.