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Driving Towards Sustainability

Innovations and Impacts in Green Transportation Introduction: In the pursuit of a sustainable future, the transportation sector has become a focal point for innovation and transformation . Advances in electric vehicles (EVs), autonomous transportation, and sustainable urban mobility solutions are reshaping the way we move. This article explores the latest developments in green transportation, analyzing the environmental impact of these technologies and the policies that drive their adoption. Advancements in Electric Vehicles: Electric Vehicles (EVs): The rise of electric vehicles is a significant milestone in the transition to greener transportation. EVs are powered by electricity stored in batteries, reducing reliance on traditional fossil fuels and minimizing direct emissions. Technological advancements have led to improved battery efficiency, longer ranges, and increased affordability. Case Study: Tesla's Impact on the EV Marke

Building Intelligent Edge Towards Digital Transformation

Manufacturers recognize the Internet of Things (IoT) and the importance of collecting and analyzing data to drive digital transformation (DX) and improve business outcomes. But embarking on a journey to digital transformation means understanding how advanced computing fits the organization, having the right infrastructure, and realizing IT / OT / CT convergence. Read on to learn about the importance of digital transformation and best practices to get you started.

What successes can you find on the road to digital transformation?

Transfer and upgrade systems. Modernizing systems can help organizations become more accountable and scalable while remaining secure in the new digital world.

Build and expand digital platforms. Companies need to create new digital stages that enable them to collect, analyze and share an ever-expanding set of data.

Monetize digital services. It is about creating and continually improving digital services that can be used to interact with customers and automate business services.

The Importance of Edge Computing

Edge computing plays an important role in industrial automation (AI). Its power is evident in its use of intelligent logistics, machine learning and asset management. Each requires intelligence and the ability to analyze and use data from factories. In an increasingly interconnected world, advanced computing is viewed centrally - with increased data intensity, connectivity and security, and more.

Choosing the right infrastructure

Depending on the organizational point of view, a modern infrastructure can complement or include information and control levels 1 or 2 of the production process. Organizational agreement on location, resources, and desired outcomes is critical before any pilot or scalable deployment is undertaken.

Edge computing in linear applications requires limited bandwidth, large amounts of data, and device security. However, industrial applications require response times in seconds, large amounts of big data, and modern network infrastructure. It is imperative to have an appliance with server virtualization, high availability, ease of use, and lifetime.

Why Converged IT / OT / CT Are Great for Edge Computing Deployments

Combined business intelligence of IT / OT / CT requests running on a virtualized system performs operational and data analysis functions in an integrated manner. And all this without the need for a separate infrastructure. The convergence of these areas is not only cost effective, but also increases productivity, productivity and agility.

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