Remove 2018 Remove Data Collection Remove Internet of Things Remove Measurement
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Top Solutions for Cybersecurity Regulatory Compliance

Smart Data Collective

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government.

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5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Internet of Things. In this digital age, people rely more on the internet to find and share information. IoT is the technology that enhances communication by connecting network devices and collecting data. Internet of Things is a critical tool for businesses. AI has made it even more viable than ever.

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The Future of AI in the Enterprise

Jet Global

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.

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The Future of AI in the Enterprise

Jet Global

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

Football teams rely on huge amounts of data drawn from countless sources to take their play to the next level: Internet of Things sensors and other devices connected to the internet use GPS to track players and the ball’s movement in real time. These developments have added a whole new dimension to data analysis.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). measure the subjects’ ability to trust the models’ results. Riccardo Guidotti, et al.