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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] Reliability and security is paramount.

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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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10 ways to kill your IT culture

CIO

Without a strong IT culture, inspiring IT teams to extend beyond their “run the business” responsibilities into areas requiring collaboration between business colleagues, data scientists, and partners is challenging. Additionally, 84% of leaders believed their organizations had strong teamwork compared to 60% of team members.

Culture 211
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The lazy CIO’s guide to better IT investment

CIO

One approach would be to create an IT capabilities map, develop data-driven scoring metrics, populating a dashboard, and using the result to construct an IT organizational transformation roadmap. At a rough guess the CIO of an average-size enterprise, following this methodology, would be ready to launch sometime in 2026.

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CIOs must mind their own data confidence gap

CIO

Moreover, 68% of vice presidents in charge of AI or data management already see their companies making decisions based on bad data all or most of the time, versus 47% of C-level IT leaders. Then, after the internal service is finished, IT teams move onto the next thing, Agarwal says.

Data 195
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Can AI solve your technical debt problem?

CIO

But t echnical debt can undercut an organizations ability to innovate long term, and the shortcuts taken during initial development likely resulted in a codebase thats convoluted, slow, or difficult for devs to understand. Sometimes tech debt arises not because your code is bad, but because code it depends on has changed or gone sour.

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Building a better future: The enterprise architect’s role in leading organizational transformation

CIO

On a bad day, we get CrowdStrike…or worse. They excel at bridging gaps between different business units, fostering cross-functional teams, and ensuring integrated solutions that work for the entire organization. Their leadership style fosters collaboration and empowers teams, making them not just leaders, but enablers of innovation.