INFORMAZIONI SU QUESTO EPISODIO
In-house data centers are a hot topic again! Companies of all sorts are repatriating cloud workloads. Many want to ramp up in-house AI development, training, and production deployment. However much (or little) you know about building a data center, the rules have all changed in the last few years. From political/regulatory concerns to economics to... Read more »
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CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di Heavy Strategy.
ALTRI EPISODI IN QUESTO PODCAST
VDI (Virtual Desktop Infrastructure) and Desktop as a Service (DaaS) have been arriving “real soon now” for the past couple of decades. Will the advent of vendors’ AI spyware (as Google is introducing through Chrome) be the accelerant that finally makes it happen? John and Johna discuss why the cha…
By now most organizations have AI strategies (among their other tech strategies). But how do you know when it’s time to make a midcourse correction? Better still: How can you predict when, and what kind of corrections you might need? John and Johna discuss, and tell the story of how a university pr…
AI can generate working code quickly. Building reliable software to run infrastructure platforms is still a multi-year engineering challenge. In this sponsored episode, BlueCat chief strategy officer Andrew Wertkin joins John Burke and Scott Robohn to talk through the difference between code genera…
Some enterprises are finding reasons to pull back from a cloud-first IT strategy and run workloads in on-premises data centers. John and Johna dig into why companies are making the change, including cost and AI security. They also discuss and the strategic implications for IT, and what organization…
“Everybody codes” was an enterprise buzzword. In this era of AI vibe-coding and single-use coding, should everyone code? Should anyone code? John and Johna talk about enterprise strategies with respect to coding in the AI era, including what expertise to look for in employees. AdSpot Sponsor: Meter…
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