Designing the next frontier in enterprise AI innovation
In the last 2 years and more, of the gen AI evolution, we have already seen three sweeping waves. The first was focused on building larger frontier models – with more compute, more data, and more scaling. This wave led to the development and deployment of AI assistants. In the second wave, we saw the emergence of small- and mid-sized AI models – open weight or open source – performing on par with frontier models; and models started to be commoditized. In the ongoing third wave, there is greater focus on test-time scaling and reasoning, with AI agents and agentic platforms driving process reengineering. As the pace of evolution accelerates, AI leaders will continuously realize more meaningful outcomes from AI. Companies, across business domains, that are AI high performers, are already embracing this evolutionary approach when it comes to building out the foundational capabilities that allow them to generate value. Here’s how the forerunners among these AI powerhouses are realizing their AI potential:
