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Gartner's annual Symposium/IT Expo emphasized the distinction between 'AI-steady' and 'AI-accelerated' companies. Analysts Hung LeHong and Mary Mesaglio discussed the importance of setting a pace in AI adoption, especially as many CIOs report unmet ROI expectations. The conversation highlighted the dual nature of the AI landscape, where rapid technological advancements coexist with challenges in achieving meaningful outcomes.
The analysts noted that AI-steady firms focus primarily on productivity, while AI-accelerated firms seek broader advancements. Examples from cities like Austin and companies like John Deere illustrate how AI can transform industries and improve efficiency. The need for real-time cost monitoring and effective governance in AI projects was also stressed, as organizations navigate the complexities of integrating AI into their operations.
• AI-steady vs. AI-accelerated firms require different strategies for success.
• By 2026, over 80% of software vendors will embed AI capabilities.
AI-steady firms focus on productivity and gradual integration of AI technologies.
AI-accelerated firms seek broader advancements beyond productivity gains through AI.
TRiSM technologies manage trust, risk, and security in AI implementations to ensure compliance.
Gartner provides insights and analysis on AI trends and strategies for businesses.
Allstate utilizes AI to enhance data management and improve customer service processes.
John Deere employs AI to optimize agricultural practices and reduce resource usage.
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