The delay from existing AI hype to impactful AI adoption comes down to a few key aspects: skillsets and resources, legacy tech impediments, and a lack of data readiness. AI is still so new that many organizations simply don’t have the skills needed to develop and operate AI tools. Furthermore, many industries are still using legacy tech that isn’t conducive to creating an AI-ready workforce. Digital transformation is still in progress at many companies, and they don’t yet have the modern, cloud-based architecture that is ideally suited for AI.
As tech-forward companies continue to make south africa whatsapp number data breakthroughs in AI, the pressure is on for other industries to catch up. More than four in five (84%) decision-makers agree that the business at large holds high expectations for AI, noting the pressure to adopt AI quickly, but without a clear strategy.
For leaders struggling to articulate an AI strategy or move towards AI adoption, the first step in overcoming the hurdle is to identify the challenges they’re facing. The most common factors slowing progress differ depending on where a company is in its AI journey.