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Best of LinkedIn: Cloud Insights & Sovereignty CW 29/ 30 · Best of LinkedIn: Digital Transformation & Tech

• 0:00
  Speaker 1: Provided by Thomas Allguyer and Frennus, based on the most relevant LinkedIn posts about cloud insights in sovereignty.
• 0:06
  Speaker 1: In calendar weeks twenty nine and thirty.
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  Speaker 1: Frenness has built a sovereign Cloud market radar for ICT providers with weekly hot news monthly reports quarterly leadership presentations an AI podcast for field teams.
• 0:19
  Speaker 1: you can find more info in description.
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  Speaker 0: Yeah, and just to set some expectations before we jump in.
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  Speaker 0: Our mission for this deep dive is to unpack the top digital products all across LinkedIn right now.
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  Speaker 1: Exactly, and today we're splitting our focus along two really critical axes for tech.
• 0:37
  Speaker 1: professionals basically were looking at where your workloads actually run.
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  Speaker 1: And then who is actually controlling the spend?
• 0:42
  Speaker 1: Right
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  Speaker 0: which are massive questions right Now.
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  Speaker 0: so let's start with that first theme Which is sovereign cloud.
• 0:48
  Speaker 0: you know sovereignty Is really shifting from just being this theoretical high-level talking point to actual physical deployment.
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  Speaker 1: Yeah it's not Just policy debates in Brussels anymore right?
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  Speaker 1: It's tangible infrastructure.
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  Speaker 0: It really is.
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  Speaker 0: I mean, Eidt-Vomberg shared a great example of this shift.
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  Speaker 0: AWS is currently building its European sovereign cloud and the data centers are literally the size of IKEA stores.
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  Speaker 1: Just massive concrete warehouses?
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  Speaker 1: Huge!
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  Speaker 0: But the concrete isn't even the main point it's the operational isolation.
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  Speaker 0: they are staffing these facilities exclusively with European residents and citizens to meet those strict jurisdictional requirements.
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  Speaker 1: Oh wow that is huge investment in localization.
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  Speaker 1: You're basically quarantining the operational control.
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  Speaker 1: Exactly!
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  Speaker 1: And, you know we are seeing that same appetite for physical resilience on the client side too.
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  Speaker 1: Thomas Saueraseig pointed out a major move by Airbus recently.
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  Speaker 1: Yeah
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  Speaker 0: with SAP right?
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  Speaker 1: They are adopting Rise With SAP which is moving their massive ERP systems to cloud but they do it through an end-to-end sovereign deployment model
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  Speaker 0: Which makes total sense for aerospace.
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  Speaker 0: I mean they want the agility of a cloud based ERP But absolutely cannot compromise data boundaries.
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  Speaker 1: Right, it's a core business strategy now.
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  Speaker 1: It's actually becoming a competitive differentiator like Dr.
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  Speaker 1: Ferry Appelhausen brought up Deutsche Telekom T-Cloud campaign.
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  Speaker 0: Oh how they're framing around trust
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  Speaker 1: Exactly.
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  Speaker 1: They're pitching digital sovereignty entirely as a trust and business decision for their seven thousand customers.
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  Speaker 1: It's no longer just.
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  Speaker 1: you know buy this so you don't get fine it's Buy This because we guarantee total control over your data footprint.
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  Speaker 0: Yeah, and some providers are leaning into that even harder.
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  Speaker 0: Damien Luke has noted that scaleway.
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  Speaker 0: Just publish a manifesto where they are actively demanding European jurisdiction across the board in
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  Speaker 1: price and transparency too right?
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  Speaker 0: yeah there really drawing on line in the sand against traditional, more opaque hyperscaler models.
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  Speaker 1: Okay but let me push back for a second here.
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  Speaker 1: because you build data centers this size of furniture warehouse You restrict staff to very specific citizens and publish these aggressive manifestos.
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  Speaker 1: It kinda sounds like we're just building massive walled fortresses into cloud.
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  Speaker 1: So bringing that CSIS research.
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  Speaker 1: I have to ask critical question Do these EU sovereignty policies, these sovereign walls actually undermine innovation without genuinely improving security?
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  Speaker 0: Well that right.
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  Speaker 0: there is the defining debate of the Sovereign Cloud movement.
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  Speaker 0: I mean building a fortress sounds great until you realize you've locked yourself inside and can't trade with the outside world.
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  Speaker 1: Right!
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  Speaker 1: You just cannot operate an AI ecosystem in a vacuum
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  Speaker 0: Exactly.
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  Speaker 0: but if look at the forestry research they address this dynamic beautifully.
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  Speaker 0: They argue that true sovereignty isn't really about achieving total independence, it's actually about managing dependence.
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  Speaker 1: Oh!
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  Speaker 1: That is an interesting way to frame it.
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  Speaker 1: so you are managing the risk rather than isolating entirely.
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  Speaker 1: Right
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  Speaker 0: You want know exactly who holds master keys and have legal right change locks but even then proving incredibly difficult.
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  Speaker 0: I mean European Commission recently ran a sovereign cloud tender process Ironically revealed that literally no provider has achieved full sovereignty yet.
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  Speaker 1: Nobody has the perfect fortress
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  Speaker 0: nobody.
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  Speaker 0: The dependencies are just too deep.
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  Speaker 1: Yeah, just look at France.
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  Speaker 1: they've been struggling in this highly publicized effort to replace Palantir's intelligence software with a homegrown alternative.
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  Speaker 1: It just proves how incredibly sticky foreign software dependency really is.
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  Speaker 0: Oh absolutely ripping out intelligent software That's woven into the daily habits of thousands of analysts.
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  Speaker 0: it's like Well, it's like performing a heart transplant on someone running a marathon.
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  Speaker 1: Right!
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  Speaker 1: Which perfectly validates the commentary coming out of the UK.
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  Speaker 1: They're arguing that before we dump billions into sovereign infrastructure We desperately need a clearer vocabulary and much better workload classification.
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  Speaker 0: Yeah you can't just slap a sovereign sticker on everything.
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  Speaker 0: You have to classify what actually demands extreme isolation
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  Speaker 1: Exactly, and you know managing that classification actually transitions us perfectly to the second big shift in the market.
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  Speaker 0: Right?
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  Speaker 0: The cost side of things?
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  Speaker 0: Yeah
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  Speaker 1: If sovereign cloud is about controlling the physical location of your infrastructure AI Finops is about Controlling the wildly unpredictable costs running on it!
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  Speaker 0: The AI Cost Curve Is Completely Rewriting Cloud Economics.
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  Speaker 0: right now
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  Speaker 1: It really is.
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  Speaker 1: Shreedhar Ramaswamy shared a staggering snowflake stat That blew my mind.
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  Speaker 1: In just two years, the share of Phenops teams managing AI spend jumped from thirty one percent to ninety eight percent.
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  Speaker 0: That is a massive leap in twenty four months.
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  Speaker 0: but you have look at mechanism behind it.
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  Speaker 0: AI token spend is no longer just a standard line item.
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  Speaker 1: No, it's totally variable
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  Speaker 0: right?
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  Speaker 0: It has mutated into a full-blown engineering control problem.
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  Speaker 0: You need a formal governance operating model because reports are consistently showing that AI token costs are running way above initial projections.
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  Speaker 1: And since generative AI models are kind of commoditizing the baseline intelligence, The real differentiation between vendors is narrowing.
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  Speaker 1: So execution is actually the real competitive advantage now.
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  Speaker 1: Oh
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  Speaker 0: one hundred percent?
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  Speaker 0: Yeah!
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  Speaker 0: How efficiently you govern that spend is everything.
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  Speaker 1: By the way if you are navigating these exact AI governance challenges in your own stack right Now make sure you hit subscribe so don't miss our future deep dives.
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  Speaker 1: We track this stuff constantly.
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  Speaker 0: Definitely You're gonna need those strategies.
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  Speaker 1: Yeah, because honestly traditional cloud spend was like a predictable utility bill.
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  Speaker 1: But AI token spend it's giving your engineering team an open corporate card at a casino.
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  Speaker 0: That is the perfect analogy.
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  Speaker 0: every prompt Is a pull on the slot machine and The market is desperately trying to respond to that.
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  Speaker 0: yeah Neiman Jane brought up a fascinating new tool this phenops copilot
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  Speaker 1: though one that generates cost estimates.
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  Speaker 0: yes It literally turns a developer's conversational description of workload into an instant cost estimate.
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  Speaker 0: So you intercept the spend before it even happens!
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  Speaker 1: That is brilliant, so your basically pushing that find-ups discipline left right in to CICD pipelines?
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  Speaker 0: Exactly – You force costs.
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  Speaker 0: checks happen automatically before code ever goes live.
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  Speaker 1: A small engineering team can actually govern massive compute budgets autonomously Right
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  Speaker 0: But there is fierce debate here.
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  Speaker 0: Are these rising prices purely because AI is inherently expensive?
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  Speaker 0: Or, this is a big question.
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  Speaker 0: Is outdated cloud architecture and economic technical debt actually the real constraint on financial transparency?
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  Speaker 1: Oh wow!
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  Speaker 1: Blaming the AI for problem that started ten years ago.
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  Speaker 0: Exactly If you deploy cutting-edge AI On top of highly inefficient legacy infrastructure Your spend will spiral no matter how good your Fedops copilot is.
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  Speaker 1: It's like putting Ferrari engine in a rusty minivan.
• 7:35
  Speaker 1: Yeah
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  Speaker 0: And this cost pressure is causing huge ripples among the hyperscalars themselves.
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  Speaker 0: as they backdrop to all of these.
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  Speaker 0: Look at Google Cloud's Q-to growth outpacing Microsoft and AWS, or IBM running aggressive limited time promos with seventy percent savings!
• 7:50
  Speaker 0: Everyone knows organizations are desperate for better economics...
• 7:54
  Speaker 1: Which honestly creates a massive headache for people actually trying build that stuff….
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  Speaker 1: You have a mandate data in a localized sovereign fortress, but you also need the absolute cheapest public cloud compute for your AI models.
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  Speaker 0: Right those are conflicting demands and
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  Speaker 1: trying to optimize both of those pushes organizations right into
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  Speaker 0: where cloud theory goes to die and reality takes over.
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  Speaker 1: Yeah, Dave McCarthy used that exact phrasing when he was talking about IBM Fusion targeting platform sprawl.
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  Speaker 1: in this messy middle
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  Speaker 0: It's a huge problem.
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  Speaker 0: You're also seeing tools like HPE's Morpheus software trying to offer unified hybrid management.
• 8:37
  Speaker 0: just so IT teams don't lose their minds managing fourteen different dashboards.
• 8:42
  Speaker 1: Right, and for highly regulated sectors one insight noted that multi-cloud banking only succeeds through really deliberate workload and data placement decisions.
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  Speaker 1: you can't just spin up databases randomly anymore.
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  Speaker 0: No the calculus is way too complex now.
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  Speaker 1: And hovering over all of that placement logic Is The Security.
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  Speaker 1: Angle Mandits in Mtrend's report dropped a pretty chilling insight about this messy middle.
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  Speaker 1: Threat actors are moving at machine speed now,
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  Speaker 0: which means human security analysts physically cannot type fast enough to stop them
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  Speaker 1: exactly.
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  Speaker 1: so it requires completely new agentic Security models and strict micro segmentation.
• 9:19
  Speaker 1: just To stop that lateral movement
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  Speaker 0: you have to seal off the bulkheads.
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  Speaker 0: if an attacker breaches one server In that hybrid environment they can't be allowed to Just walk over to The sovereign database next door.
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  Speaker 1: right but wait Managing all that complex placement makes me question the whole AI deployment life cycle.
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  Speaker 1: We keep hearing about cloud first, but one poster noted that public Cloud is actually just for early AI experimentation while on-prem wins at scale.
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  Speaker 1: Why The Sudden Reversal?
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  Speaker 0: It really comes down to data gravity and those token economics we talked about.
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  Speaker 0: Public Cloud is great to start because you rent GPUs, run tests shut them down.
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  Speaker 1: Right very flexible.
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  Speaker 0: but when that model scales and needs to ingest petabytes of data moving that data back-and forth to a public cloud will absolutely bankrupt you with egress fees.
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  Speaker 1: oh so bringing the compute physically closer to the data like on-prem or in a regional sovereign data center becomes much cheaper
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  Speaker 0: exactly.
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  Speaker 0: But that means your software architecture has to be fluid.
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  Speaker 0: You can't rewrite millions of lines of code When you move from Azure to his sovereign box in Frankfurt.
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  Speaker 1: Which is why tools like Radius and Dapp are getting so much traction, right?
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  Speaker 0: Right.
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  Speaker 0: They abstract the underlying cloud APIs.
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  Speaker 0: So developers create these portable applications that span both sovereign and public clouds seamlessly.
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  Speaker 0: You
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  Speaker 1: can just shift the workload wherever the economics or laws dictate.
• 10:38
  Speaker 0: Yes But to govern a fluid system like that you need total visibility.
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  Speaker 0: That's why Gartner's Observability Magic Quadrant Is heavily shaping these hybrid decisions even for government buyers in Australia.
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  Speaker 0: If you can't observe the data across the messy middle, You can secure it or
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  Speaker 1: govern.
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  Speaker 1: The cost exactly?
• 10:57
  Speaker 1: well, you know Managing that messy middle securing against machine speed attacks governing all those AI budgets It's not just a software routing problem is completely rewiring the talent stack and careers.
• 11:08
  Speaker 0: Oh, the human element is shifting so fast.
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  Speaker 0: AI has now deeply woven into every single tier of cloud infrastructure careers from technical to management.
• 11:17
  Speaker 1: But despite all that AI hype, Ali Khaja Hussaini shared a really grounding reminder.
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  Speaker 1: Mastering core virtualization concepts is still the absolute foundation for AWS skills.
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  Speaker 0: Yeah because at the end of day The cloud is just someone else's computer.
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  Speaker 0: AI can write a script but if an architect doesn't understand underlying plumbing They won't be able to troubleshoot when the AI inevitably hallucinates.
• 11:39
  Speaker 0: bad template
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  Speaker 1: Right...but it sounds like Just being a technical whiz in the basement isn't enough anymore.
• 11:46
  Speaker 1: You actually need to speak the language of the boardroom and interview process now?
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  Speaker 0: You really do!
• 11:51
  Speaker 0: That's why we're seeing so much rising traction for the STAR method...in interviews.
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  Speaker 1: Situation, task action result
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  Speaker 0: Exactly.
• 11:59
  Speaker 0: Hiring managers are forcing.
• 12:00
  Speaker 0: cloud engineers connect their technical work directly to measurable business outcomes.
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  Speaker 1: So they don't just want hear I deploy dapper.
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  Speaker 1: They wanna hear I deployed Dapper to meet sovereign compliance and reduced our fine-op spend by twenty percent.
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  Speaker 0: Right, cloud architects are basically being forced to evolve from just managing tech stacks... ...to leading what the industry is now calling Intelligent Knowledge Ecosystems.
• 12:24
  Speaker 1: Intelligent knowledge ecosystems?
• 12:26
  Speaker 1: That's a heavy title for one person.
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  Speaker 0: They're orchestrating autonomous AI agents, human engineers financial guardrails and sovereign laws all at the same time.
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  Speaker 1: It's incredible!
• 12:39
  Speaker 0: And honestly that leads to a pretty provocative final thought to ponder as we wrap up.
• 12:43
  Speaker 1: Okay let's hear it.
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  Speaker 0: As our architecture shifts through these intelligent knowledge ecosystems and security moves into agentic models The biggest bottleneck in your digital transformation won't be cloud hardware or software.
• 12:56
  Speaker 0: The real bottleneck is going to be finding the human talent capable of orchestrating machines that are increasingly capable managing
• 13:16
  Speaker 1: themselves.