Cloud usage in all its forms continues to grow in importance. However, in 2022, despite the ease of use, there will be a greater focus portability and connectivity, on reining in the cost of these elastic services, and on a rebalancing of cloud versus on-prem workloads. Here, IT leaders share their perspectives on where cloud services are headed and what can be expected to change in 2022. From the impact of the Great Resignation to the possibility of a cloud vendor making its services available on another public cloud, find out what these leaders are thinking.
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Cloud migration benefits center primarily around increased efficiency. The ideal results of a successful cloud migration yield a more intelligent allocation of resources that allows companies to focus on their core competencies. Within that, successful migrations reduce IT costs, improve the end-user experience and increase scalability and security. Once adopted, cloud computing users can reduce capital expenditures and decrease maintenance and operational costs—ensuring maximum results with minimal expenses. However, not every migration is successful, and the process can be complex, leading to mistakes that can hinder the journey and incur negative ramifications.
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The value of analytics is fairly easy to realize when implemented correctly. As businesses start to see increased operational efficiency, more successful marketing campaigns, improved customer retention, and many other benefits, adoption will continue to improve and analytics will soon be driving the decision making of the entire organization.
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We can count on seeing more cyberattacks and there are two reasons for that. First, as AI becomes more ubiquitous and embedded in our everyday lives, it presents yet another threat surface hackers will seek to exploit to wreak havoc at scale. More AI, more attacks. Second, the Silicon Valley "move fast and break things" model has meant that historically teams have pushed a lot of code into production without putting security guard rails in place. The same thing is now happening with AI. We're so focused on getting novel capabilities into production—that we prioritize first-to-market movements over security, leaving the door open for exploitation.
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