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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. This robot moves freely through the laboratory, automating routine tasks of picking up, transporting, and scanning petri dishes.

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IoT for Logistics: Leveraging Data-driven decisions for Predictive and preventive Fleet Maintenance, Optimizing life cycle, and Ensuring Workforce Safety

Acuvate

Seamless functioning of your logistics value chain calls for continuous and real-time operations monitoring, from safe warehousing and supply chain to smooth transportation management. IoT applications coupled with big data analytics, advanced robotics, and an interconnected network have given rise to Supply Chain 4.0.

Data 52
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Data Science: Why and How do you Invest in Data?

mjvinnovation

Data Science began with statistics and evolved to include concepts / practices such as Artificial Intelligence, Machine Learning, and the Internet of Things, to name but a few. Data-based algorithms are also used to create custom recommendations based on a consumer’s purchase history. The Influence of Data Science.

Data 40
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5 Industries That Will Thrive In The Future

The Human Factor

Big data is continuously being combined with algorithms to provide new means of automating machines and software. IoT (Internet of Things) technology is opening up even more doors for this technology, enabling everyday items to be controlled remotely.

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6 Ways to Drive Sustainability in Transportation

Acuvate

When looking at industries contributing to these harmful emissions, a recent study found that transportation accounted for a staggering (29%) of total U.S. In this regard, technological innovations and the rapid growth of digitalization are driving a significant evolution in the transportation sector. GHG emissions in 2022.

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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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The next challenges in the area of ??Logistics and Supply Chain: what the post-pandemic designs

mjvinnovation

To transport the world’s production, air, sea, and land transport systems are overloaded, generating more pollutants. The Internet of Things becomes essential to guarantee the ability of cyber-physical systems (parts support, assembly stations, and products), people, and intelligent factories to communicate with each other.

Design 52