This episode will stream live at 9am ET

As AI continues to reshape industries, companies are exploring how they can leverage its capabilities without making sizable upfront investments. This has given rise to AI as a Service (AIaaS) which promises businesses access to AI infrastructure, tools and models. However in the AI ‘hype cycle’, it is key to discern whether AIaaS is really the silver bullet it is made out to be, particularly for large, complex workloads. This episode will analyse the following to help shed light on this question:

• Unpacking the AIaaS offering: Benefits and limitations
• Do as a service products diminish our control and customisation abilities
• The rise of GPU as a Service and its role in next gen workloads
• Evaluating the practicality of AIaaS for heavy AI demands