Artificial intelligence (AI) continues to gain traction worldwide in a range of applications and usage scenarios. However, AI is still in the early part of the “early majority” phase with many organizations sitting on the sidelines waiting for do-or-die reasons to implement AI. In reality, global adoption of AI is strong, especially when looking past the buzzwords of AI and focusing on the individual patterns of AI, such as conversational systems, recognition systems, autonomous systems including process automation, hyperpersonalization efforts, pattern and anomaly detection using AI, AI-enabled predictive analytics, and goal-driven systems leveraging reinforcement learning. In this research document, we share the results of the latest survey of public and private sector companies and their current stance with regards to AI adoption and usage.
- By 2025, over 40% of respondents say they will implement AI in one or more identified patterns. However, almost 90% respond that they will have some sort of in-progress AI implementation within the next 2 years.
- On the whole, however, it seems that the world is moving mostly in lockstep with AI adoption happening at the same relative rates throughout the world, regardless of any region’s lead in current implementation.
- 54% of respondents plan to implement AI approaches to process automation within the next few years, and 52% of respondents plan to implement AI-enabled conversational systems by 2025.
- The biggest barrier to AI adoption is insufficient quantity or quality of data, followed by limited availability of AI talent and skills. For those companies not planning to implement AI within the next two years, the primary “show stopper” was lack of ROI justification for AI projects and an insufficient advantage of AI projects over non-AI approaches.
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