Each month editors from Íæż½ã½ã's global team discuss hot technology topics and give insights from IT buyers in markets around the world.
Employing a staff with the right blend of skills and experience is a challenge for Íæż½ã½ãs building AI-ready organizations. We explore some of the issues they need to resolve.
As Íæż½ã½ãs build AI-ready organizations the balance between public cloud and data center is tilting back toward on-premise infrastructure. But what is the right blend of cloud, data center, and edge computing? Here are 7 talking points to consider.
AI-ready organizations need to consider factors such as value, scalability, data sovereignty and sustainability as they weigh up infrastructure options including cloud computing, on-premise data center and edge computing.
Four areas in which IT leaders can angle their leadership approach to foster success with agentic AI.
Spend time building IT infrastructure that can support AI-infused analytics capabilities, or jump straight to AI regardless of AI preparedness? Smart IT leaders are doing both.
For those who manage enterprise IT ‘what can AI do for us’ has to be balanced against ‘what might AI do to us.’
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