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Infoxication: Why Big Data is the solution

mjvinnovation

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. Find out how your business can take advantage of this phenomenon and how to deal with Big Data in a profitable way and more! As you saw, the problem is a given.

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Industry 4.0

eZassi

It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain. Ezassi Innovation Management Software advances project pipeline management. Industry 4.0 Industry 4.0 In conclusion, Industry 4.0

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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. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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Big Data in Open Innovation

Yet2

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

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How Augmented Analytics Is Transforming Business Intelligence

Acuvate

Despite the growing presence of data analytics, organizations haven’t managed to leverage its power to the fullest and this perhaps can be attributed to the failure of most data analytics initiatives. Gartner estimates that more than 85 percent of big data projects fail.

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The characteristics of data-driven business model development and how to succeed

The BMI Lab Blog

To give you a better insight into these types of business models, we use the so-called magic triangle of business model innovation , as it provides a high-level overview that is more suitable for analysis. To implement an IaaS model, primary analysis and visualization capabilities are indispensable, as well as industry know-how.

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5 Digital Transformation Use Cases in the Automotive Industry

Acuvate

and the next-gen of mobility is the rapid emergence of artificial intelligence, intelligent automation, predictive analytics, and Big Data – delivering real-time insights to enable powerful innovation and transform the way automotive companies operate. The automotive industry is on the brink of significant technological disruption.