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    Editor's Pick (1 - 4 of 8)
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    Digital transformation - Gaining Momentum in Operational Technology (OT)

    Martin Schlatter, CIO and Regional CEO, APAC, NTT Security

    Connecting dots the IOT way!

    Sunil Singh, Regional Chief Information Officer, Coca-Cola Beverages Vietnam

    Disrupting the Automotive Industry through Digitalization

    Esteban Remecz, CIO, Asia Pacific, ZF Group

    Simplifying Deployment and Management of Branch Office Networks

    Ari Bose, CIO, Brocade

    Internet-of-Things: The Rise of Connected Businesses and Connected Lives

    Harnath Babu, CIO, KPMG India

    How IOT is Driving Competitive  Advantage to Asian Supply Chains?

    Steve Walker, CIO, DHL Supply Chain Asia Pacific

    Embracing Advanced Tech-enabled Solutions that Foster Innovation and Growth

    Steven Weinreb, CIO & EVP, Technology & Operations, Asia, MetLife

    Edge Computing and the Keys to Unlocking IoT in Asia Pacific

    Robert Linsdell, Managing Director Australia and New Zealand, Vertiv

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    Top Emerging IoT Trends that will Become Mainstream

    By Apac CIO Outlook | Thursday, January 01, 1970
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    The development in innovations like AI, Blockchain technology, Cloud and Big Data are catering to the events in this advanced age. IoT is aiding in various sectors be it healthcare where it is providing world-class treatment with advanced tools and techniques and also to the development of smart cities where autonomous vehicles will eliminate car crashes.  Enterprises are adopting these trends to lead the digital revolution in their business.

    • Artificial Intelligence

    According to a survey by Gartner, 59 percent of organizations are still assembling data on Artificial Intelligence methodologies, whereas 31 percent have gained acceptance through test cases programs; the IT department is investing vigorously in AI. Regardless of these difficulties, it will be easy to accomplish great outcomes with AI in an extensive variety of IoT circumstances.

    • Augmented Analytics

    Data scientists have vast amounts of data to prepare, analyze, group and form conclusions. With the introduction of augmented analytics data science and machine, learning platforms have transformed how businesses generate analytics insight. Integrating these new technologies can modify the idea of work and structure of the working environment.

    • Mesh Technologies

    These technologies are the association amid business, the arrangement of individuals, gadgets, content, and services to display digital results. Blockchain could be a perfect example for this. It is characterized as a digital register in which exchanges are made in bitcoin or other digital currency, and all of these are recorded publicly. Before setting up an appropriated record venture, organizations must ensure that they have the cryptographic aptitudes to comprehend what is and isn’t conceivable.

    • Immersive Experience

    These experiences refer to technologies like virtual reality (VR), augmented reality (AR) or mixed reality which are transforming the interaction of individuals and digital advancements. It is expected that the coming years would focus primarily on mixed reality.

    • Sensor Technology

    The sensor market would advance persistently through 2023. New versions of sensors would be introduced to empower a more extensive scope of circumstances where current sensors will fall in cost to become budget-friendly or will be built with better approaches to help new applications, and new sensors would be able to conclude more data from current sensor technologies.

    • Digital Twins

    Digital twins are related to IoT innovation, as they are connected to actual objects and provide information regarding the counterparts, react to changes and enhance the tasks. Significantly, digital twins will help resource management in the long run; it will give operational proficiency and insights, thereby demonstrating that how items are utilized and how are they enhanced.

    • IoT Governance

    As the IoT is growing, the demand for an administrative structure that guarantees to stockpile, appropriate conduction in the creation and use of data identified with IoT projects will turn out to be important.  Governance includes gadget audits and firmware updates to more unpredictable issues, for example, the control of gadgets and the use of data they create.

    Check Out : Top IOT Startups

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