Businesses need an AI strategy that fosters a culture of innovation and collaboration, requiring multiple teams to break silos across data, processes, and workflows. The buzz surrounding Generative AI (GenAI) was mirrored at every iteration of the AI trajectory. However, translating the hype into real-world impact is another story. A 2024 IBM report found that 40% of organizations experimenting with AI remain stuck in the sandbox, while IDC estimates that 20% of AI initiatives fail to deliver business outcomes. This is because the pace at which AI advancements have accelerated is yet to be matched by the pace at which enterprises can adapt and adopt the technology. Despite this, investments in AI will continue to outpace IT investments by as much as five times over the next three years. As per a BCG survey, 54% of enterprise leaders expect AI to deliver cost savings in 2024, with half of them expecting cost savings of more than 10% through productivity gains. For AI to deliver on these expectations, enterprises need to address the following opportunity gaps in their approach to AI: Develop an AI vision : Enterprises often look at AI for what it can do rather than what they […]