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Infoxication: Why Big Data is the solution

mjvinnovation

It was the Spaniard Alfons Cornella, a technology expert and best-selling author, who gave rise to the concept there by the early 2000s. Here, let’s reflect on Infoxication at the business level, which has to do with the concept of Big Data, as we will see throughout this article.

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Nick Fury: understand exploratory analysis

mjvinnovation

As we have seen, we are in the exponential curve of Big Data. Because of this, it is very important that we have methods to validate hypotheses and, more importantly, techniques so that we can see all this data clearly. It is in this context that the exploratory analysis becomes fundamental.

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Industry 4.0

eZassi

At Ezassi, we understand the importance of navigating sustainable innovation and have developed a range of solutions to help businesses thrive in this new era of digital transformation. We then help evaluate, facilitate, and incentivize the key ideas formed by your solver ecosystem as part of the overall innovation process. Innovation?

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. And when we say tangible, we predominantly mean money.

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

We’ll get to the story of this CPG giant in just a bit. But before that, let’s understand where the manufacturing world is with Smart Factory today and where this technological intervention is headed. As with previous years, smart factory solutions are projected to contribute. That’s no mean task!

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

We’ll get to the story of this CPG giant in just a bit. But before that, let’s understand where the manufacturing world is with Smart Factory today and where this technological intervention is headed. This looks like a dated metric…Can we look at some other one which is for 2025 ? [GU1]

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3 Steps of Data Science to apply in your company

mjvinnovation

To demystify the subject, we brought the Data Science steps applied in practice, and that can be incorporated into your company. The phase involves both the human side, as we seek to understand what will be relevant for end-users and the technological side, to learn about the data sources available and how they are collected.

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