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Wednesday, 27.09.2023
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Recently, India's Hon’ble Prime Minister, Narendra Modi, inaugurated the 5G service, affirming that "India will lead the Industry 4.0 revolution with 5G at the helm." Commenting on this technology, certain experts predicted that by 2035, 5G will have a cumulative economic impact of US$ 1 trillion, and between 2025 and 2040, it could deliver an additional GDP of US$ 150 billion for the country. This aligns with India's vision of becoming a US$ 5 trillion economy by 2025.

Over the past few years, we have witnessed an expedited Digital Transformation (DX) across the country. With the evolution of 2G, 3G, and 4G, technology has revolutionized the way enterprises operate, enabling them to enhance their productivity, increase their revenue, reduce their costs, and develop new digital services. Further expediting this progress is with the recent introduction of 5G technology, which is expected to shape the future of DX.

Recently, India's Hon’ble Prime Minister, Narendra Modi, inaugurated the 5G service, affirming that "India will lead the Industry 4.0 revolution with 5G at the helm." Commenting on this technology, certain experts predicted that by 2035, 5G will have a cumulative economic impact of US$ 1 trillion, and between 2025 and 2040, it could deliver an additional GDP of US$ 150 billion for the country. This aligns with India's vision of becoming a US$ 5 trillion economy by 2025.

On the other hand, one of the most disruptive “digital” technologies for enterprises over the last decade has been the increased adoption of the cloud and its applications. Emerging technologies such as AI/ML, AR/VR, advanced robotics, drones, autonomous vehicles, and digital twins are enabling new use cases for enterprises, prompting a reassessment of their business priorities, processes, and IT/OT networks.

These new use cases range from industrial automation and robotics to campus networks, utilities, and IoT devices that communicate with each other and relay data to central servers. To enable these use cases and support digital ambitions, enterprises require high-capacity connectivity networks that are optimised for their use cases while retaining local control and management. Enterprise Private Wireless Networks (PWN) are emerging as a viable and critical option for digital transformation.

Enter 5G, enterprises can realize a host of benefits from deploying this fifth-generation technology.

  • First, 5G can deliver multi-gigabit bandwidth for static as well as high mobility use cases. A number of the early applications like access control, inventory monitoring as well as safety use cases require high-quality and real-time video streams, all of which consume a lot of bandwidth and which 5G is ideal for.
  • Second, beyond speeds, in industrial and vertical environments, reliability and availability are even more important than throughput performance. If packets are lost, or delayed, this can cause severe disruptions to production or critical processes. Wireless technologies like 5G also offer more flexibility to enterprises, especially in manufacturing environments where reconfigurations of systems can be done quickly without impacting system connectivity.
  • Third, 5G can help enterprises operate networks in harsh environments that hinder wireless connectivity, typically found where manufacturing, oil and gas, mining and other similar activities are carried out. 5G can overcome these challenges by using techniques like spatial diversity and coordinated multipoint (CoMP) to overcome blocking and achieve the demanding availability targets.
  • Fourth, 5G can also enable new use cases that require assets or connected devices that are mobile by utilizing indoor positioning features. These could be in the form of robots or AGVs or tagged goods or inventory that could be moving across a factory floor, at an airport or seaport and so on.

However, it is not sufficient to only deploy radio networks. The real differentiation for the enterprise will come from the emergence of the “Edge” as a distributed computing paradigm to cater to new use cases from connected endpoints. Edge computing, which can be deployed either on-premises for the enterprises, or at the “far edge” of a hyperscaler’s network, or through a Communications Service Provider’s (CSP’s) edge network, is the new control point for a host of applications that will service new use cases for the enterprise. Distributed computing, in tandem with AI and technologies like 5G will create a powerful trifecta for industrial enterprises and help drive new use cases and business models.

The rise of the Edge will also create a need for new infrastructure and architectures to process the deluge of data emanating from the increasing number of connected endpoints. With so many connected endpoints coming on to the network, data volume and velocity will both increase exponentially. Enterprises need to consider and address several new questions about data management, starting with what data types to store, what to process and how to do so.

The increasing need for “real-time” decision making is pushing enterprises to adopt modern data architectures that enable agility, security and easier governance of enterprise data. Many are adopting or evaluating new technologies like the data lakehouse, data mesh and data fabric as they seek to strike a balance between the sometimes-conflicting objectives of keeping costs low and accessing data in a consistent and easy-to-use manner that is scalable.

The Cloudera Data Platform allows enterprises to migrate to a modern data architecture that includes support for new technologies like the data lakehouse, data fabric and data mesh. Not only will this bring order to multiple data repositories, connect all data sources together regardless of location and also provide the enterprise with the requisite tools for data management and analytics. 5G will help enterprises unlock a host of new use cases and support digital initiatives but ultimately, true monetization will only come about from the timely and appropriate management and analysis of enterprise data.

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Autor(en)/Author(s): Piyush Agarwal

Quelle/Source: ET CIO, 20.05.2023

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