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Artificial Intelligence: A Question of Data

Daniel Burrus

Business people, not to mention the public on a global basis, are getting increasingly excited, as well as concerned, about the potential of artificial intelligence (A.I.)—so and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. and machine learning applications.

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Power BI: 5 Key AI Features You Should Start Using

Acuvate

In a time where the average enterprise generates large amounts of data on a daily basis, unless the data paves a path to gleaning valuable insights, on its own, data does not hold much value. In this article, we will look at the six key AI features in Power BI that you must start using right away.

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Data Science: Infinity War

mjvinnovation

That’s why data never sleeps. Big Data is only beginning its exponential path, like the entire expanding universe. Several startups and companies have already had this vision and invest in teams to take advantage of this gem called data and ensure its place at the forefront of the market. But it’s not true.

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7 steps to implement Data Science in your company

mjvinnovation

Data Science is about mining large amounts of structured and unstructured data to identify patterns that can help an organization control costs, increase efficiency, recognize new market opportunities, and increase the organization’s competitive advantage. Hire data scientists. Prove or disprove them with data!

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Digital Twins: what it is, how it works, and the advantages of this technology

mjvinnovation

That is exactly what we will show you throughout this article. The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing. It is also capable of learning, absorbing the knowledge of people, machines, and the environment in which it exists.

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Industry 4.0: How to guide organizational change

mjvinnovation

Four major forces push the “fourth industrial revolution,” according to several experts: Surprising growth in data volume (Big Data); Emergence of tools, resources and methods for data analysis; The innovative possibilities of human-machine interaction; And the enhancements of the transfer of digital instructions to the physical world.

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Data Science: Why and How do you Invest in Data?

mjvinnovation

Data Science is a multidisciplinary mix of data inference, algorithm development, and technology to solve analytically complex problems. In this article, we’ll explain the concept and tell you why it’s important to invest in it. What is Data Science and why is it so urgent to invest? Check it out!

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