If the pandemic has done anything for AI, it has seen increased investment in information technology and data centers.

Legacy systems have been given a kick as brands seek to accelerate upgrade plans.

These upgrades have resulted in increased automation and cloud tools.

That was in 2021. Should the market expect the same in 2022? Seven experts from major IT and data center companies presented their forecasts for the coming year.

On-Premises Data Centers Are Here to Stay as Enterprises Refine Hybrid Approaches

Paul Speciale, CMO, Scality

“Even as public cloud investment continues, enterprises will keep their data center infrastructure on-premises for control, performance, and cost-effectiveness. This will lead to a new level of sophisticated IT management capabilities to optimize multi-data center, multi-cloud application and data management solutions.

“Most enterprises have realized that a smart and balanced approach to applications and infrastructure across enterprise (private) data centers and public cloud services leads to the most optimal service delivery, agility, best time to market and profitability.”

Tech leaders will focus on evolution, not revolution

Henrik Nilson, VP EMEA, Apptio

“The increased adoption of new technologies to adapt to the pandemic means that most large organizations use complex and advanced technology stacks to meet business needs. As a result, in 2022 and beyond, many technology leaders will focus not on revolutionizing their use of technology, but on evolving it to a lower level through the use of agile, refining their infrastructure cloud. However, these smaller-scale technology changes need clear data and information to be successful, unlike transformation projects where a drastic change would always be warranted.

“The challenge that comes with this evolutionary approach is that it requires clear data and insights to be successful. While the benefits of big transformation initiatives may be clear, working on continuous improvement requires a culture of measurement and analysis. that many organizations still don’t have.

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