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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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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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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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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. Before the advent of mobile technology, we needed to use pen and paper to record information on the spot, or manually enter it into a computer to organize the information. What is mobile data collection?

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data. million on damages caused by data breaches.

Risk 125
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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145
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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

In order to do that, a digital transformation was required, and when it comes to information provision, there wasn’t much, so we put in place basic platforms to handle data, and developed a cloud architecture for infrastructure and applications.” It’s important to get access to data in order to digitize an entire company,” she says.

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