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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. Let’s take a look at two use case examples. Industry 4.0 Industry 4.0 Additive Manufacturing: New methods for Industry 4.0

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

Acuvate

For example, 93% of supply chain and industrial experts want to prioritize the resilience of their manufacturing operations, and 70% agree that a smart factory is the best approach to get there. For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions.

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

Acuvate

For example, 93% of supply chain and industrial experts want to prioritize the resilience of their manufacturing operations, and 70% agree that a smart factory is the best approach to get there. For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions.

Data 52
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Iron Man: the hero of wearables and IoT

mjvinnovation

The Internet of Things is already a reality, but will be even more popular when we experience the connectivity leap of 5G. Autonomous cars and smart cities, for example, rely on the new connection to reach their full potential. Understand the relationship between Big Data and Iron Man armor. Mark I: Analogue Era.

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

mjvinnovation

The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing. First, smart components that use sensors to collect real-time data on status, working conditions, and position are integrated into a physical item. So, what is this technology?

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Industry 4.0: what it is and what are its current impacts

mjvinnovation

includes many physical and digital technologies – from Artificial Intelligence to cognitive applications through the Internet of Things and Big Data – allowing the emergence of interconnected digital organizations, as well as a high degree of modernization of manufacturing parks, among other results.

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

mjvinnovation

A Data Science strategy aims to mine large amounts of structured and unstructured data to, among other things, identify patterns to help organizations control costs, increase efficiency, recognize new market opportunities, and increase competitive advantage. The Influence of Data Science. Risk and Fraud Mitigation.

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