To accelerate value creation during the pandemic, CIOs and IT leaders need to focus on three key areas – leading from anywhere, nurturing connections and going beyond, a Gartner report said on Tuesday.
As organizations continue to emerge from the disruption of the Covid-19 pandemic, CIOs and IT leaders will need to look to generate value in fundamentally new ways, said Mbula Schoen, senior research director at Gartner, during its IT Symposium / Xpo India.
By the end of 2022, the share of knowledge workers working remotely will increase to 47%, from 27% in 2019.
“CIOs and IT managers need to focus on their leadership anywhere ensuring business and talent readiness; maintain links to ensure ecosystem readiness; and go above and beyond using technology and social preparation, ”according to the report.
Research shows that currently 41% of employees identify as corporate technologists, which means they report outside of IT departments and build technological or analytical capabilities for internal or external business use. .
“Organizations that enable business technologists to be successful are 2.6 times more likely to accelerate digital business results than organizations that don’t empower business technologists,” according to the report.
“Where we work, where technology leadership comes from and where IT is produced have changed,” Schoen said. “CIOs and IT leaders need to capitalize on changes in the future of work to propel their teams and businesses forward. “
Senior Vice President of Research and Gartner Fellow Daryl Plummer said CIOs need to reconsider their perception of value and how they get there.
“They need a bigger picture of the role that technology plays in this area. And they have to be bold to go beyond the place to discover freedom, ”he added.
Technology can help CIOs break free from historical information, legacy business practices, and prejudices.
According to Gartner, until 2024, 40% of people will intentionally devalue their personal data, making it difficult to monetize.
“AI-based systems can create artificial – or man-made – data sets that are valid, predictive, and so accurate that there may not be a need to breach privacy in the future,” he said. he added.
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