The overwhelming majority of leaders today consider their success dependent on strategies using artificial intelligence as tools to help them find and apply insights that improve decisions and outcomes.
Top challenges in getting started include proving AI’s business value, a lack of executive commitment, and the need to choose the right tools. Additional challenges to scaling AI projects include insufficient funding or technical skills to use it. While much of the labor force once viewed AI with suspicion, 82% of survey respondents say the workforce now believes AI can help boost their performance and satisfaction as a collaborative tool to help humans make better decisions.
To embrace a transformational AI strategy, organizations need to take such steps as following documented machine-learning operations procedures, using documented processes for governance and quality of data, using common and consistent platforms for AI model and application development, and using risk-management processes to assess AI for bias and other risks.
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