AI adoption is accelerating across small and medium-sized enterprises (SMEs), but many businesses lack the in-house expertise to build and manage AI infrastructure effectively.

In this episode of The AI Forecast, Paul Muller speaks with Hyve’s Marketing and Operations Director, Charlotte Webb, about how managed service providers (MSPs) are reshaping AI adoption for SMEs. They explore the build vs. buy debate in AI solutions and why cloud computing alone doesn’t guarantee lower costs, better performance, or compliance.

Charlotte explains how Hive takes a consultative approach to AI managed services—helping businesses align AI initiatives with long-term business strategy, digital transformation goals, and operational efficiency.

Charlotte and Paul dive headfirst into:

The risks of unmanaged AI workloads in the cloud

The role of managed services in reducing complexity and cost

Data sovereignty and regulatory compliance in AI deployments

Misconceptions about cloud computing and AI performance

Hybrid cloud and GPU infrastructure for scalable AI workloads

Real-world AI success stories, including e-commerce growth and operational gains

For those navigating AI adoption, evaluating cloud strategy, or exploring managed AI services, this episode provides actionable insights into building sustainable AI capabilities without overextending internal resources.

Stay in touch with Charlotte:

Charlotte on LinkedIn

Want to hear more about the build vs buy debate and lessons from the cloud computing era? Check out Ep 28 | Engineering for GenAI: Lessons from Past Hype Cycles with Ryan Ries of Mission Cloud

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AI Managed Services: A Smarter Path for SMEs