– Business adoption of AI is growing.
– Companies using more sophisticated tools and practices are reaping benefits.
– Companies using more sophisticated AI tools and practices have higher bottom-line benefits.
– The most popular AI use cases span various functional activities.
– Organizations following both core and advanced best practices see higher returns from AI.
– AI can lead to revenue increase and cost decrease in organizations.
– Cybersecurity is seen as a relevant AI risk, especially in developed economies.
– Companies using more sophisticated AI tools and practices are reaping bottom-line benefits.
– Popular AI use cases include logistics-network optimization, sales forecasting, and product enhancements.
– Respondents report higher levels of cost decreases from AI adoption during the pandemic.
– AI high performers prioritize training data, model documentation, and monitoring for bias.
– Regular retraining and human-in-the-loop verification are important in model deployment.
– Companies with more sophisticated AI tools and practices have higher bottom-line benefits.
– The most popular AI use cases span various functional activities.
– Organizations with AI high performers engage in advanced best practices.
– AI high performers prioritize training, testing, and monitoring of models.
– Model bias and accuracy are important considerations for AI high performers.
– Companies with more sophisticated AI tools and practices have higher bottom-line benefits.
– The most popular AI use cases span various functional activities.
– AI high performers engage in practices such as training and testing data, measuring model bias and accuracy, and regularly monitoring for data drift.
– Model users are taught how to monitor for issues and test for different outcomes based on protected characteristics.
