In scientific studies, the bigger the data set the better. A clinical trial with 100 people is better than 50 people. 1,000 people is better still. No doubt about that. It's the same story in marketing, right? http://www.thedrum.com/opinion/2018/05/10/what-s-the-deeper-worry-around-big-data-and-creativity

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PALM BEACH, Florida, May 10, 2018 /PRNewswire/ -- Investment in Artificial Intelligence (AI) Technology Projected to Triple by 2020 With Market Valu

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What is artificial intelligence? And how can investors profit from the innovation in computer learning?

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Becoming an early AI adopter outside of the tech industry may be well worth the risk.

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Insight Engine Smart Data Platform™
Fullstack AI ( Augmented Intelligence) One of the most challenging issues facing organizations is deriving insights from complex heterogeneous data.   While it can be challenging to simply store the sea of data available today, the real value is derived when understanding

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A company as big as Google has the resources to focus on a lot of different endeavors, but for Google, AI is quickly becoming one of the biggest. In addition to things like Search and Android, we've seen AI become a big initiative over at Google in recent years. Perhaps it shouldn't come as a surprise, then, that

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Microsoft's first keynote during its Build 2018 developer conference hinted that we're entering the A.I. revolution, enhancing lives the same way the Industrial Revolution saw humans move from horse-drawn carriages to automobiles. He provides several examples during the keynote, including drones.

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But the best way to combat the spread of fake news may be to depend on people.

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Predicting the future is about to become a whole lot cheaper. Here's how economists look at artificial intelligence.

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Artificial Intelligence (AI), and more pragmatically, Machine Learning (ML) have been called the new electricity that's powering the Fourth Industrial Revolution (4IR). AI is considered to be the ability for an artificial system to make cognitive decisions without human input, whereas ML is considered to be the ability for a computerized system to improve performance of an automated task over time. While AI is still futuristic, ML has been causing huge disruptions across multiple industries over the past decade. For example:

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