– 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.
– AI adoption can lead to revenue increase and cost decrease.
– Companies face challenges in mitigating AI risks and prioritizing them.
– Uncertainty about AI risks and regulations affects risk mitigation strategies.
– Companies using more sophisticated AI tools and practices are reaping bottom-line benefits.
– Popular AI use cases include logistics-network optimization, sales and demand forecasting, and product-feature optimization.
– Respondents report higher levels of cost decreases and steady revenue increases from AI adoption.
– Companies prioritize risks due to lack of capacity and unclear exposure to AI risks.
– Respondents in emerging economies wait for clearer regulations for risk mitigation.
– Companies with more sophisticated AI tools and practices have higher bottom-line benefits.
– The most popular AI use cases span various functional activities.
– AI adoption can lead to revenue increase and cost decrease.
– Companies face challenges in mitigating AI risks due to capacity limitations and unclear exposure.
– Emerging economies prioritize clearer regulations for risk mitigation in AI.
– Companies with more sophisticated AI tools and practices have higher bottom-line benefits.
– The most popular AI use cases span various functional activities.
– AI adoption leads to revenue increase and cost decrease.
– Companies face challenges in mitigating AI risks due to capacity limitations and unclear exposure.