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Uncovering Innovation in China’s Liquid Bandage Market with Big Data

Yet2

Regulatory changes in China around Class I and Class II medical devices required brands to re-examine where their products were placed from a regulatory standpoint. Using analysis across datasets, yet2 was able to tie the brand to the manufacturer , information that wasn’t readily available publicly.

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Meet Thanos: the analog villain in the data era

mjvinnovation

Managers and directors who ignore the need to develop a solid strategy for Big Data often make blind decisions. Not to be outdone, you have to think about your actions for Big Data. This includes Data Science, a strategy widely used by these Big Techs. Promote the Data-Driven mindset. Don’t miss out!

Data 40
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Infinity War: meet the superpowers of Data Science

mjvinnovation

“Wait, but what does this have to do with Data Science?” In MJV, the infinity of the universe is represented by the amount of data we generate every day. It’s Big Data itself! We can create systems to automate the entire process, optimizing and accelerating analysis. Mind Stone: Machine Learning.

Data 66
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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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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. The need for workers with AI knowledge and the ability to work with robotics and other data-driven automation tech is rising as smart manufacturing becomes the norm.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. The need for workers with AI knowledge and the ability to work with robotics and other data-driven automation tech is rising as smart manufacturing becomes the norm.

Data 52
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Infographic – 5 trends that will revolutionize the energy market in the next few years

mjvinnovation

But it is not immune to changes that may require a fresh look at today’s existing business models. The priority is to invest in the creation of a Digital DNA in order to meet the industry’s biggest challenges: climate change | shortage of resources | search for greater energy efficiency. The Action Plan.