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Is Your Privacy at Risk? How Fog Data Science Trades Location Data

Analytics Vidhya

Fog Data Science compiles an extensive database of user location information by purchasing raw geolocation data collected by various smartphone and tablet applications. This collected data is then sold to advertisers, marketing companies, and law […] The post Is Your Privacy at Risk?

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Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!

Smart Data Collective

This is where data collection steps onto the pitch, revolutionizing football performance analysis in unprecedented ways. The Evolution of Football Analysis From Gut Feelings to Data-Driven Insights In the early days of football, coaches relied on gut feelings and personal observations to make decisions.

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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business. Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data.

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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Of course, there is also the risk that customers may forget about appointments, which leads to lost revenue. Fortunately, big data can minimize the cost of appointment errors. New scheduling tools use big data to address these types of challenges. Scheduling errors are a major example.

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Mobile Data Collection: What it is and what it can do

FineReport

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

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Managing risk in machine learning

O'Reilly on Data

Fortunately there are members of our data community who have been thinking about these problems. One important change outlined in the report is the need for a set of data scientists who are independent from this model-building team. “How How to build analytic products in an age when data privacy has become critical”.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Regular saving of work and plans for the systematic backing up of data should be part of the workflow procedures of any enterprise. However, enterprises should be prepared for the worst-case scenario, such as a catastrophic network failure, which can cause the entire data collection of a company to disappear completely.

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