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  • Gartner's top strategic predictions for 2022 and beyond

    Gartner's top strategic predictions for 2022 and beyond

    #Jio #Gartner #Dunzo

    Gartner’s top predictions explore three aspects of the lessons that business and IT leaders have learned during ongoing disruption and uncertainty – the push toward human centricity, the race to resilience and the ability to reach beyond expectations. The lesson of the pandemic has been to expect the unexpected and be prepared to move in multiple strategic directions at once. “Leaders that embrace options for workers, enhanced enterprise efficiency and accelerated transformation plans have greater resilience in dealing with change. Resilience, opportunity and risk have always been components of good business strategy, but today these issues hold new meaning. This year’s predictions embody how resilience must be built in more non-traditional ways, from talent to business modularity, while opportunity and risk must be viewed with a greater sense of urgency than ever before.”

    By 2024, 40% of consumers will trick behavior tracking metrics to intentionally devalue the personal data collected about them, making it difficult to monetize and by 2024, 30% of corporate teams will be without a boss due to the self-directed and hybrid nature of work. By 2025, synthetic data will reduce personal customer data collection, avoiding 70% of privacy violation sanctions. By 2024, a cyberattack will so damage critical infrastructure that a member of the G20 will reciprocate with a declared physical attack. By 2024, 80% of CIOs surveyed will list modular business redesign, through composability, as the top 5 reasons for accelerated business performance. By 2025, 75% of companies will “break up” with poor-fit customers as the cost of retaining them eclipses good-fit customer acquisition costs. Through 2026, a 30% increase in developer talent across Africa will help transform it into a world-leading startup ecosystem, rivaling Asia in venture fund growth. By 2026, non-fungible token (NFT) gamification will propel an enterprise into the top 10 highes

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  • Edge computing is making inroads into organizations’ IT infrastructure

    Edge computing is making inroads into organizations’ IT infrastructure

    #RBI #VMware #Mutualfunds


    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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