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What Causes AI Project Failures?

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In the current landscape, many businesses are integrating AI tools, but research indicates that returns on AI investments remain minimal. Understanding the pitfalls of AI adoption is crucial for organizational leaders looking to enhance their ROI. Alan Trefler, founder and CEO of Pegasystems, highlights common mistakes businesses make, such as not fully understanding AI’s limitations and succumbing to vendor hype, which obscures critical decision-making. A significant issue lies in strategic errors during the design phase, leading to failures in actual deployment; nearly 95% of AI projects fail to reach production due to these missteps. Trefler emphasizes the need for better comprehension at both the board and technical levels to navigate AI challenges effectively. For deeper insights and strategic guidance, sign up for our Future Focus 2025 report, which addresses key IT issues including AI and cybersecurity, informed by over 700 senior executives. Stay ahead in the evolving tech landscape!

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