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All You Need to Know About Sport Analytics in 2023

Pickl AI

In my pursuit to further explore this topic, I decided to bring together the new trends in sports analytics. Biomechanics and Wearable Technology Utilizing wearable sensors and biometric data to analyze athletes’ movements and physiological responses can inform training and injury prevention.

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HIMSS 2022: Looking Forward

DataRobot Blog

Notably, the vast increase in the presence of big tech, individualized wearable technology, and the rise of retail healthcare. With hundreds of attendees boasting their Oura rings, the advancement of at-home patient monitoring, we witnessed the future of wearable and retail healthcare. Why This Matters.

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How Data Flow Works In MQ Telemetry Transport (MQTT)

Smart Data Collective

The publishers and subscribers’ relationship works like this: Publisher (data source) transmits data or message on a Topic. Client subscribes to a Topic to receive messages. The acknowledgment tells the subscriber-client that all messages pertaining to the topic to which the client is subscribed had been published. MQTT Clients.

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4 Ways Predictive Analytics Will Improve Healthcare

Smart Data Collective

We reviewed other papers on the topic and condensed the best benefits into this article. Wearables may be able to predict health issues that a person is likely to face. Big data and predictive analytics will lead to healthcare improvement. Diagnoses Accuracy Will Improve.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Sometimes big data models can look at which keywords and topics are trending on social media and, as translation company Tomedes points out, that can involve multiple languages. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets.

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The internet of trusted things

Dataconomy

Examples of IoT devices include smart home appliances, wearables, medical devices, and industrial equipment. This includes topics such as password management, firmware updates, and how to identify and report potential security incidents.

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5 essential machine learning practices every data scientist should know

Data Science Dojo

This data can be used to train models for tasks such as sentiment analysis and topic modeling. This data can be collected from a variety of sources, such as smartphones, wearable devices, and traffic cameras. Sensor data : Sensor data can be used to train models for tasks such as object detection and anomaly detection.