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7 signs it’s time to modernize your IT systems

CIO

The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Kar advises taking a measured approach to system modernization.

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CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO

According to recent data from IDC’s CIO Sentiment Survey (Figure 1), only 38% of organizations have reached a high level of maturity in their digital transformation efforts (with only about 13% claiming full transformation). And yet, these types of metrics are the limpets of IT measurement — encrusted, intractable, and creating drag.

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AI market evolution: Data and infrastructure transformation through AI

CIO

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Nutanix commissioned U.K.

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CIOs are bullish on AI agents. IT employees? Not so much.

CIO

While 53% of tech execs see AI agents being core to business operations in the next two years, only 29% of IT practitioners see that coming to pass, according to a new survey from uptime monitoring vendor PagerDuty. During testing, the AI began hallucinating data due to inconsistencies in catalog structures, he adds.

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7 signs you may not be a transformational CIO

CIO

Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.

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Dulling the impact of AI-fueled cyber threats with AI

CIO

These days, digital spoofing, phishing attacks, and social engineering attempts are more convincing than ever due to bad actors refining their techniques and developing more sophisticated threats with AI. Moreover, this can cause companies to fall short of regulatory compliance, with these data potentially being misused.

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Unlocking the full potential of enterprise AI

CIO

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Without the necessary guardrails and governance, AI can be harmful.