Cloud Client Computing reduces costs and shift focus to innovation : Shamik Roy

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Cloud Client Computing reduces costs and shift focus to innovation : Shamik Roy, Product Specialist – Pre Sales, Cloud Client Computing, Dell India at 7th EIITF 2016, Kolkata

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    Cloud Client Computing reduces costs and shift focus to innovation : Shamik Roy

    Cloud Client Computing reduces costs and shift focus to innovation : Shamik Roy, Product Specialist – Pre Sales, Cloud Client Computing, Dell India at 7th EIITF 2016, Kolkata

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    NetSuite Client Event Script: The Client Script is one of the more commonly used, and complex, script types available to you. As its name implies, the Client Script runs in the browser, i.e. on the client side. It is the only script type that runs on the client side; all others will execute on the server side of NetSuite. In this tutorial, we will explain NetSuite Client Event Pageinit Script.

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    #9 NetSuite Client Event Pageinit Script | NetSuite Client Event Script | NetSuite Consulting

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    Cloud security can get enhanced with Cloud computing

    Digital adoption is on all time high and cloud computing is emerging as a game changer and major enabler, across areas. Integrating cloud into your existing enterprise security program requires an assessment of your resources and business needs to develop a fresh approach to your culture and cloud security strategy. Cloud security is a set of policies, controls, procedures and technologies that should work together to protect your cloud-based applications and systems. From facilitating video conferencing for hybrid workplaces and empowering smart connected devices to helping accelerated growth of AI and ML through data driven insights, Cloud Computing has come a very long way from being just a virtual data storage platform. With increasing significance of Data, Cloud computing too is fast gaining importance among both, consumers as well as software and product development companies. And while these exciting new innovations powered by Cloud continue to disrupt various sectors across the globe, it is the silent yet powerful emergence of cloud as a potential enabler to fight of phishing and cybercrimes in the digital world.


    Cybersecurity and regulatory compliance became the top two biggest concerns of corporate boards, some are adding cybersecurity experts specifically to scrutinize security and risk issues. It is ironic to note here that data security remained one of the chief concerns for businesses who hesitated the shift to cloud a few years ago. And now the same technology solution is helping to not just combat cybercrime but also became a potential platform that can empower other technologies like AI and ML to detect and prevent cybercrimes. As the new normal takes shape, all organizations will need an always-connected defensive posture, and clarity on what business risks remote users elevate to remain secure. The need of the hour is the brands and businesses seeking to ensure a safer cloud computing experience, need to also ensure that they work

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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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  • Watch IBM consulting sets up Client Innovation Center in Coimbatore #shortsvideo Video
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  • Watch AI - next massive shift in computing Video
    AI - next massive shift in computing

    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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  • 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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