The next big thing in technology shift is Edge Computing

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#EdgeComputing #TataRealty #Actis

Edge computing – the next big thing



Although cloud computing continues to play an important role in modern network architecture, the exciting possibilities offered by Internet of Things (IoT) devices, which are capable of processing the data they gather closer to the source, are forcing companies to rethink their approach to IT infrastructure. Often touted as the “next big thing,” . As many companies are wondering how edge computing differs from more traditional data processing solutions and how it could benefit their business. Edge computing not only has the ability to deliver a direct on-ramp to a company’s preferred cloud platform, but it also can help achieve flexibility and nimbleness when it comes to ensuring a streamlined, efficient IT infrastructure. There are challenges that demonstrate the growing need for an alternative to cloud computing.



Cloud computing is an inherently centralized computing paradigm. Edge Computing is a decentralized topology that is based on keeping data local, at the ‘edge’ of the network, as close to the source as possible. Today’s IoT devices are capable of gathering, storing, and processing more data than ever before. This opens up opportunities for companies to optimize their networks and relocate more processing functions closer to where data is gathered at the network edge. As the data in cloud computing networks are centralized, with data being gathered on the outermost edges and transmitted back to the main servers for processing. This architecture grew out of the fact that most of the devices located near the edge lacked the computational power and storage capacity to analyze or process the data they collected. Even as more devices became capable of connecting to networks over cellular and WiFi, their functionality was relatively limited by their hardware capabilities.

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  • Watch The next big thing in technology shift is Edge Computing Video
    The next big thing in technology shift is Edge Computing

    #EdgeComputing #TataRealty #Actis

    Edge computing – the next big thing



    Although cloud computing continues to play an important role in modern network architecture, the exciting possibilities offered by Internet of Things (IoT) devices, which are capable of processing the data they gather closer to the source, are forcing companies to rethink their approach to IT infrastructure. Often touted as the “next big thing,” . As many companies are wondering how edge computing differs from more traditional data processing solutions and how it could benefit their business. Edge computing not only has the ability to deliver a direct on-ramp to a company’s preferred cloud platform, but it also can help achieve flexibility and nimbleness when it comes to ensuring a streamlined, efficient IT infrastructure. There are challenges that demonstrate the growing need for an alternative to cloud computing.



    Cloud computing is an inherently centralized computing paradigm. Edge Computing is a decentralized topology that is based on keeping data local, at the ‘edge’ of the network, as close to the source as possible. Today’s IoT devices are capable of gathering, storing, and processing more data than ever before. This opens up opportunities for companies to optimize their networks and relocate more processing functions closer to where data is gathered at the network edge. As the data in cloud computing networks are centralized, with data being gathered on the outermost edges and transmitted back to the main servers for processing. This architecture grew out of the fact that most of the devices located near the edge lacked the computational power and storage capacity to analyze or process the data they collected. Even as more devices became capable of connecting to networks over cellular and WiFi, their functionality was relatively limited by their hardware capabilities.

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    There is a continued dialogue among (Cloud Vs Edge), on who will overtake whom. The future of edge computing is right around the corner. Experts feel that it has the power to protect the climate, improve our health, and squash road rage. However, even though cloud-based computing is great for many things, there are some drawbacks.

    IDC forecasts the global edge computing market to reach $250 billion by 2024, with a compounded annual growth of 12.5%. No wonder the industry is talking about Edge Computing.

    #Edgecomputing reclaims much of the storage and power that cloud computing took on over the years. Businesses are always trying to improve the reliability and performance of their software for users, while at the same time trying to reduce their own costs. We have seen how CDNs (content delivery networks) are an early form of edge software, with companies originally serving static content from locations closer to their users. The rise of CDNs has made it easier to roll out your entire application as close to your users as possible.

    Edge computing is one of the 'new revolutionary technologies' that can change organizations wanting to break free from previous limitations of traditional cloud-based networks. The next 12-18 months will prove to be the natural inflection for edge computing. Practical applications are finally emerging where this architecture can bring real benefits.

    91% of our data today is created and processed in centralized data centres. Cloud computing will continue to contribute to businesses regarding cost optimization, agility, resiliency, and innovation catalyst. But in the future, the 'Internet of Behaviours (IoB)' will power the next level of growth with endless new possibilities to re-imagine the products & services, user experiences, and operational excellence.

    IoT, IIoT, AI, ML, Digital Twin, and Edge computing are at the core of the Internet of Behaviours. As per Gartner�

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    With the increasing availability of computational power, big data, and advancements in algorithms, AI is becoming more accessible and powerful. We are witnessing the emergence of AI-powered technologies such as voice assistants, autonomous vehicles, medical diagnosis systems, recommendation engines, and smart home devices, which are transforming the way we interact with technology. AI has the potential to make a positive impact on the world.

    The emergence of Artificial Intelligence (AI) is poised to be the next massive shift in computing. With its ability to learn, adapt and automate tasks, AI has the potential to revolutionize industries and transform the way we live and work. From personalized healthcare to autonomous vehicles, the possibilities for AI are endless.

    We believe AI is the next massive shift in computing. It has the potential to revolutionize many industries and aspects of our lives. It is all about development of computer systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing images, making decisions, and learning from data.

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    The rise of the connected devices ecosystem has led to a rise in demand for high-speed networks. It has exposed the limitations of the overall network architecture, highlighting the need for edge computing. There are hundreds of sensors in a modern-day car and creates tons of data. And while most of it is processed in the vehicle itself, transfer of data to the cloud might be needed by some in-car applications. Data moved to the cloud could be constrained more intelligently with edge computing. With the advent of next-gen technologies in the autonomous vehicle ecosystem, challenges such as delay in data transmission, real-time results, on-the-spot accurate and vital decisions, processing of large quantities of data, etc., have also increased. Automotive players are focused on leveraging edge computing to address these ever-evolving challenges.

    In traditional enterprise computing, data is produced at a user's computer. That data is moved across a WAN such as the internet, through the corporate LAN, where the data is stored and worked upon by an enterprise application. Results of that work are then conveyed back to the end-user. With regards to infrastructure of edge computing, it is a network of local micro datacenters for storage and processing purposes. At the same time, the central datacenter oversees the proceedings and gets valuable insights into the local data processing. However, we need to be mindful that edge computing is a kind of expansion of cloud computing architecture - an optimized solution for decentralized infrastructure. The fact is in a digital-first world, personalized content drives everything in the digital economy.


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    Data center is critical to an organization’s performance and success, this decision needs to be taken with due diligence. Cloud computing has played an integral role in building modern network architecture. With the advancement of emerging technologies such as the Internet of Things (IoT), the amount of data collected at the source is growing exponentially. This has significantly raised the demand for computation of this data at the edge. It is an absolute fact that, Edge Data Centers are bringing significant benefits by reducing latency. With these innovations, there is a parallel evolution in the data center environment. From on-premise data center to cloud to the new entrant edge; data centers are growing more sophisticated with each passing day to keep up with the dynamic business world.



    The four types of data centres we see are On-premise Data Centers, Colocation Data Centers, Hyperscale Data Centers and Edge Data Centers. On-premise data centers reduce latency as they are stored within the company location, thereby ensuring higher level of data security. However, they are not cost-efficient solutions as they involve higher cost for maintenance, security, and regular repairs. Whereas, Colocation Data Centers bring cost-effective methods of housing data centers as the companies need not worry about its maintenance, security, and repair. However, Hyperscale data centers are large and can house thousands or millions of data center servers. These data centers are meant to be scaled, which can be done by increasing the power of the system or adding more data center racks and equipment. Companies with large amounts of data can benefit from the scalability of hyperscale data centers. As technology is getting advanced, many are preferring to go for Edge data centers which are smaller facilities located close to the edge of the end-user network.


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    - Rolling Frames Entertainment - (https://rfetv.in)
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    - ASHI, Haryana's website - https://ashi-haryana.org/

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    For Pinaka Mediaworks LLP (India)

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