Acuvate
OCTOBER 3, 2022
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.
Tullio Siragusa
DECEMBER 26, 2022
Smart Cities Players Technology Companies This includes companies specializing in hardware and software solutions for smart cities, such as Internet of Things (IoT) providers, cloud computing companies, and cybersecurity firms. Let’s explore the market opportunities by categories and regions.
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Tullio Siragusa
JULY 17, 2023
Transportation’s AI-driven Transformation AI has left no industry untouched, and transportation is no exception. Mechanics are becoming technicians, drivers are becoming operators, and transport planners are morphing into logistics analysts. With the advent of autonomous vehicles, fears of job loss are common.
mjvinnovation
NOVEMBER 26, 2020
To understand more about what happens (and can happen) with the Logistics and Supply Chain area, let’s share some insights from our Future Design and Anticipatory Innovation team. To transport the world’s production, air, sea, and land transport systems are overloaded, generating more pollutants.
eZassi
AUGUST 29, 2023
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 includes engineers, designers, production managers, and other stakeholders who must work together to integrate AM into the production facility.
Acuvate
JANUARY 20, 2023
How IoT addresses fleet management challenges Predictive maintenance processes involve condition monitoring through real-time data, which is made possible with the Industrial Internet of Things ( IIoT ). transportation companies leverage sensor data to detect issues and schedule prompt maintenance activities ahead of time.
mjvinnovation
OCTOBER 18, 2019
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. The data scientist: defines the problem; identifies the main sources of information; designs the structure for collecting and sorting the required data.
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