Semiconductor technology is the bedrock for AI.
Unlocking AI’s full potential requires a combination of chips, software, memory architecture among other things.
However, tech is only one part of the equation.
Enterprises also need a strong governance layer, workforce readiness and infrastructure readiness before deploying AI systems.
IBM believes as AI goes deeper into an organisation, they also need a flexible tech architecture that allows for the workloads to run where it makes both operational and business sense.
