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What is digital transformation? A necessary disruption

CIO Business Intelligence

Once a vanguard business strategy, digital transformation has become a perennial objective for business survival. Digital transformation is the integration of digital technologies into all aspects of business operations.

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13 essential skills for accelerating digital transformation

CIO Business Intelligence

Digital transformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. Data skills are also vital, says NCC Group’s Fox.

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Dubai-based GMG invests in next-gen tech to improve customer needs

CIO Business Intelligence

The digital transformation of the Middle East’s retail sector in the last five to seven years has brought immense value in crafting more agile supply chains that accommodate demand. It would be naïve to underestimate the pandemic’s influence on many companies’ digital transformation,” says Sunil Nair, Group CIO at GMG.

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How CIOs Are Addressing The “Unsustainable” Security Challenge

CIO Business Intelligence

Rather than simply investing in technology, and hoping for the best, however, IT leaders need to be strategic and undertake risk management that best suits their business profile. Fortinet research shows that 64 per cent of A/NZ organisations agree that the skills shortage creates additional risks for their businesses.

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How IT leaders are driving new revenue

CIO Business Intelligence

A 2022 report from Info-Tech Research Group revealed that supporting revenue growth was No. 4 on the list of priorities cited by CIOs, after business process improvements, digital transformation, and modernization. Co-creating with their business unit colleagues. In other words, walk in your own customer’s shoes.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

As of 2022, the EAM market was valued at nearly $6 billion , with a compound annual growth rate of 16.9% More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. through 2030.