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Roles in the workplace have evolved and they continue to evolve fast . Under the widespread adoption of AI technologies , menial and routine tasks previously performed by humans are now handled by machines .
With AI and automation acting as ‘ behind the scenes ’ sidekicks , plenty of workers are feeling the benefits of getting time back to focus on more strategic work . Meanwhile , some are capitalising on opportunities to reskill into more advanced roles .
The ability to harness , analyse and act on data is what will continue to set businesses apart in this competitive era .
CIOs are going to need to get all their data out of their systems of intelligence and into their systems of record to ensure the business is not only data-rich but insights-driven .
This is where integration is crucial .
Nigel Nisbett , Director of Professional Services for Asia-Pacific Japan , Boomi
By 2025 , the World Economic Forum predicts 85 million jobs will be lost to automation .
The average enterprise has about 850 apps , yet less than 30 % of them actually talk to each other .
But at the same time , it is expected 97 million jobs will be created in fields such as AI and data science .
Meanwhile , IDC expects to see Asia Pacific technology leaders allocating half of R & D , staffing and CAPEX investments to AI and automation by 2026 . This makes the role and leadership of the CIO crucial .
CIO positions have undergone a significant transformation over the past few years . From keeping the lights on to business model improvement , the pandemic saw the primary objective of CIOs shift from basic IT maintenance to Driving competitive advantage .
When systems are separated , data is disconnected . This means critical information lives siloed or completely hidden – a poor data practice that sets a poor precedent to leverage the power of AI .
In this time of change , there ’ s an imperative to innovate , integrate and automate in order to grow .
We thought we ’ d seen it all – then came the promise of AI .
Today , CIOs are being tasked to transform their technical workforce and invest in AI technologies , while running their respective businesses and ensuring the technologies they already manage nurture the organisation and provide return on investment .
It ’ s big work – and that work can ’ t be done by sitting on the fence trying to balance change the business versus run the business .
So , integration isn ’ t just about connecting systems and processes ; it ’ s about integrating entire business ecosystems – from internal operations to external partnerships and customer interfaces – to gain visibility and agility .
It means users gain a comprehensive and accurate view to extract maximum value from their business and deliver to their customers .
And with data inextricably tied together and made accessible , a company can better lean on AI and
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