What’s Next?
AWS, Google and Microsoft have an expanding portfolio of enabling technologies for both data and AI (which is driving some of the aforementioned growth). They want as much of this AI work to stay in their ecosystem as possible, but there is also an
emerging trend of interoperability of data and AI services across cloud computing environments.
For example, the new interoperability of Oracle Cloud Infrastructure across AWS, Azure and GCP will make it easier for enterprises to blend AI and data services across cloud providers.
While deploying data and AI services within large clouds may be getting easier, what will likely not be getting easier is managing the entire cloud estate. Enterprise cloud environments are already complex; this shift to an inter-cloud data and AI architecture could introduce even more complexity.
Almost half of enterprises plan on consolidating the number of MSPs they use to manage cloud over the next 12 months. However, given the enormous amount of demand for data and AI services – and the increased complexity this will likely introduce into enterprise environments – this may not be a realistic goal for sourcing and technology leaders in 2025.