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Building a vision for real-time artificial intelligence

CIO Business Intelligence

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. These two foundational cores need to be aligned for agility across the edge, on-premises, hybrid cloud, and multi-vendor clouds.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.

Agile 363
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Mastering technology modernization: 6 steps for building your road map

CIO Business Intelligence

For example, my change management motto is, “Humans prefer the familiar to the comfortable and the comfortable to the better.” At a time when technology innovation cycles are getting shorter, we will struggle to keep pace if we have to navigate around legacy systems that act as barriers to speed and agility.

Agile 277
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows.

Strategy 359
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10 top priorities for CIOs in 2025

CIO Business Intelligence

Technology investments, such as in generative AI, are a priority in addressing the need to meet rising expectations while also driving operational agility and resilience. The pace of change in the global market and technology landscape demands organizations that can adapt quickly.

Strategy 351
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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Business leaders expect IT to develop new products, improve customer experiences, automate workflows, and deliver new artificial intelligence capabilities. Many IT teams use agile methodologies to iteratively deliver feature-rich releases, improve capabilities, address technical debt, and experiment with emerging technologies.

Agile 338
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Generative AI’s change management challenge

CIO Business Intelligence

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.