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10 AI strategy questions every CIO must answer

CIO Business Intelligence

The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. How does our AI strategy support our business objectives, and how do we measure its value?

Strategy 141
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. In addition, despite billions of dollars invested in AI infrastructure and generative AI in 2023, only 20% of businesses reported earnings benefits from AI in 2024.”

ROI 127
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5 tips for better business value from gen AI

CIO Business Intelligence

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. That doesnt mean investments will dry up overnight. Many early gen AI wins have centered around productivity improvements.

Sales 143
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AI potential meets ROI pragmatism: 3 crucial questions every CIO should ask

CIO Business Intelligence

To do so, we need to first ask ourselves three key questions: Question #1: How will we use AI to meet our specific business objectives? The question, then, is not whether you will shift toward more AI-influenced operations in 2024 but how and, more importantly, why. AI is a tool, not a mission statement.

ROI 52
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

Otherwise, companies will struggle to realize business value with AI/ML capabilities left to endure high cloud cost expenses, as it has been for many companies in 2024 for AI solutions. The assessment provides insights into the current state of architecture and workloads and maps technology needs to the business objectives.

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5 IT risks CIOs should be paranoid about

CIO Business Intelligence

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. Now, add data, ML, and AI to the areas driving stress across the organization.

Risk 142