These are some of the ways I see AI, especially GenAI, being used in businesses and organizations around the globe. In reality, though, use cases that provide real-world value to organizations either through cost-savings or new ways to monetize their products and services. What is clear is that whatever the use case, providing clean, connected, contextualized data to your AI – in a governed and secure fashion – will be critical. Providing your business with an architecture that can thailand rcs data support rapid changes, provide fluid data environments, and power multiple use cases will be key.
Beyond 2025: Continuous Evolution
Beyond these trends, 2025 will see new models, new ways of harnessing AI, and new aspects of the technology being discovered by businesses and academic institutions. This evolution will demand changes within organizations. Companies that don’t invest in AI – that don’t adapt and innovate – will eventually have to pay a higher price to catch up or risk being replaced by AI-native competitors.
The Age of AI Collaboration
No matter what happens next year, one thing is certain: we’re moving out of the information age into a new epoch – an age where humans and AI co-exist. We might even be on the brink of creating a new form of intelligence – one not born of natural evolution but built by us, unfamiliar to its creators. It’s an exciting, transformative, and perhaps slightly unnerving prospect. But it’s also an opportunity to shape a future where AI augments human potential in ways we’re only beginning to understand.