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Avoiding Gen AI Pilot Fatigue: Leading with Purpose
- Generative AI (Gen AI) pilots are causing fatigue due to the lack of structure, purpose, and measurable goals in organizations.
- Issues with Gen AI pilot fatigue include infinite possibilities, ease of deployment, lacking sustainment plans, poor measurability, integration hurdles, and high resource demand.
- Organizations need to optimize processes before introducing advanced tech like AI to ensure meaningful value is delivered.
- Lessons from RPA and Cloud Migration emphasize the importance of establishing foundations and data quality for successful AI deployment.
- The low barrier to entry in generative AI leads to numerous fragmented initiatives within organizations, causing fatigue and lack of tangible returns.
- To break the cycle, organizations should focus on strategic deployment, process optimization, data validation, setting clear KPIs, and considering other tools besides Gen AI.
- As development practices improve and cross-functional AI literacy increases, there is optimism for better management of Gen AI pilots in the future.
- Successful AI implementation hinges on intent, strategy, clean data, and outcome measurement, rather than simply chasing the latest technology trend.
- To avoid Gen AI pilot fatigue, organizations are advised to prioritize purpose over pilots and build a strategy around it.
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