Latest / Best of LinkedIn: Digital Transformation & Tech / Best of LinkedIn: ICT & Tech Insights CW 43/ 44

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Best of LinkedIn: ICT & Tech Insights CW 43/ 44 · Best of LinkedIn: Digital Transformation & Tech

• 0:00
  Speaker 0: This episode is provided by Thomas Allgeier and Frennus, based on the most relevant LinkedIn posts about ICT and tech insights in CW- forty three and forty four.
• 0:08
  Speaker 0: Frennus supports ICT enterprises with market and competitive intelligence, decoding emerging technologies, customer insights, regulatory shifts and competitor strategies.
• 0:18
  Speaker 0: So product teams and strategy leaders don't just react but shape the future.
• 0:22
  Speaker 0: Welcome back to the deep dive.
• 0:23
  Speaker 0: Today, we're aiming to give you that essential shortcut, um, synthesizing the really vital ICT and tech trends that we're driving conversations on LinkedIn back in calendar weeks, forty-three and forty-four.
• 0:33
  Speaker 1: Yeah, and it's more than just, you know, headlines this time.
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  Speaker 1: Looking through the posts, there's a clear convergence happening.
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  Speaker 1: AI, cybersecurity, quantum.
• 0:41
  Speaker 1: Right.
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  Speaker 1: They're not really siloed topics anymore.
• 0:43
  Speaker 1: Right.
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  Speaker 1: We're seeing this definite shift, moving past pilot projects, past isolated R&D.
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  Speaker 1: and really into, well, mandatory production grade systems.
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  Speaker 1: So our job today is to unpack the actionable insights and all that.
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  Speaker 0: Okay, let's get right into it then.
• 0:56
  Speaker 0: Starting with what feels like the most urgent convergence.
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  Speaker 1: AI
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  Speaker 0: and cybersecurity.
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  Speaker 0: It feels like the whole narrative has changed, hasn't it?
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  Speaker 0: Security isn't just defense, not just a cost center anymore.
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  Speaker 1: Definitely not.
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  Speaker 1: It's becoming a strategic profit driver.
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  Speaker 1: And AI is really accelerating that.
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  Speaker 1: How
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  Speaker 0: so?
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  Speaker 1: Well, it's this duality.
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  Speaker 1: Kaushik Jay highlighted this point.
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  Speaker 1: AI-driven cyber threats, they're advancing incredibly fast.
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  Speaker 1: Think sophisticated deception, massive automated attacks.
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  Speaker 0: Serious stuff.
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  Speaker 1: It is.
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  Speaker 1: But at the same time, that exact same AI tech is powering a revolution in defense.
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  Speaker 1: We're talking AI tools that drastically speed up threat detection.
• 1:37
  Speaker 1: response times the whole nine yards.
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  Speaker 0: So it's an AI arms race.
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  Speaker 1: Pretty much.
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  Speaker 1: And think about what happens when the old idea of a corporate perimeter just dissolves, you know, with remote work, cloud everywhere.
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  Speaker 1: Crest
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  Speaker 0: becomes the central issue.
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  Speaker 1: Exactly.
• 1:50
  Speaker 1: Yeah.
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  Speaker 1: Which is why zero trust isn't just a buzzword now.
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  Speaker 1: It's fundamental.
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  Speaker 1: Yeah.
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  Speaker 1: Mark Trump laid out that blueprint, continues verification, micro segmentation, and always assuming breach.
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  Speaker 1: You just can't trust by default.
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  Speaker 0: And then you layer on AI agents.
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  Speaker 0: Patnissary Warrior brought this up, moving from human to software interaction to, well, human to agent.
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  Speaker 0: That demands a whole new layer of trust, right?
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  Speaker 0: A zero trust framework to constantly vet what these agents are doing.
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  Speaker 0: Makes
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  Speaker 1: it exponentially more complex, yeah.
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  Speaker 1: And that's why cybersecurity can't be seen as just like an IT department fix anymore.
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  Speaker 1: Ok, and Yilda's really stressed this.
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  Speaker 1: It's a complex ecosystem.
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  Speaker 1: Ecosystem.
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  Speaker 0: Yeah,
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  Speaker 1: involving risk management, GRC, app security.
• 2:33
  Speaker 1: automation.
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  Speaker 1: it's miles away from that old stereotype of the hacker in a hoodie.
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  Speaker 0: And managing that complexity.
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  Speaker 0: It's expensive.
• 2:40
  Speaker 0: Adrian Buro made a really strong point about the hitting costs if your security architecture is all fragmented.
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  Speaker 0: Operational inefficiencies needing top-tier expensive talent just to manage the mess.
• 2:50
  Speaker 1: Right, so the push for integrated security ecosystems is becoming an economic necessity now, not just a technical one.
• 2:56
  Speaker 0: Which explains the shift in leadership view.
• 2:58
  Speaker 0: You saw Kristoff Foulon and Nick Granak both observing that cyber security is now treated as a core strategic... business issue.
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  Speaker 0: It's not just a technical checklist item to tick off.
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  Speaker 1: Absolutely.
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  Speaker 1: And the market's validating this.
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  Speaker 1: Look at telecoms, like Andrews Lawler observed.
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  Speaker 1: They're treating securities a profit center now, selling managed detection, secure connectivity.
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  Speaker 1: It's a premium service
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  Speaker 0: and the projected spending reflects that.
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  Speaker 0: over seventy five billion dollars globally by twenty thirty just in that niche.
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  Speaker 1: huge numbers
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  Speaker 0: and just for context on the scale of defense needed Vasu jackall from Microsoft shared that their security stack processes one hundred trillion signals
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  Speaker 1: Daily.
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  Speaker 1: Wow, that's monumental.
• 3:38
  Speaker 1: intelligence needed just to stay.
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  Speaker 1: and that shared data processing intensity It naturally leads us to the absolute cutting-edge quantum technologies.
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  Speaker 1: the post we saw show this field is moving fast Really fast out of the pure academic labs and towards well potential real-world use.
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  Speaker 0: the keyword seems to be hybrid though, right?
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  Speaker 0: It's not purely quantum replacing classical yet
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  Speaker 1: not yet.
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  Speaker 1: Summit Chunder highlighted NVIDIA's NVQ link, which is pretty crucial.
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  Speaker 1: It seamlessly fuses quantum processors with GPU supercomputers.
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  Speaker 1: That high-speed connection unlocks this first wave of hybrid quantum AI computing.
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  Speaker 0: And you need different hardware approaches for that kind of scale.
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  Speaker 0: Bob Clark pointed to what Sequantum is doing, using photons, light, for qubits.
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  Speaker 0: Apparently, that helps solve some of the stability problems you get with the traditional methods.
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  Speaker 1: Innovative stuff.
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  Speaker 1: And then... thinking really big scale.
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  Speaker 1: John Mickelon noted Elon Musk's rather ambitious proposal.
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  Speaker 1: Oh yeah.
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  Speaker 1: Building quantum infrastructure on the moon in the permanently shadowed craters to get those naturally super cold stable environments.
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  Speaker 0: Okay, that's definitely thinking outside the box.
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  Speaker 0: Maybe a bit.
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  Speaker 0: far out for now.
• 4:47
  Speaker 0: Hey,
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  Speaker 1: perhaps.
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  Speaker 1: Bringing it back down to Earth, Europe is making some serious moves here.
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  Speaker 1: Dr.
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  Speaker 1: Karina Meath shared some interesting metrics.
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  Speaker 1: Europe has about a third of the world's quantum startups and almost half the global QC hardware and software development.
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  Speaker 0: That sounds really strong.
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  Speaker 0: Is there a catch?
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  Speaker 1: There is.
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  Speaker 1: A big one.
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  Speaker 1: Talent.
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  Speaker 1: Europe's looking at a shortfall of maybe a thousand quantum experts a year by twenty twenty five.
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  Speaker 1: So huge opportunity there if you're an ICT Pro thinking of a pivot.
• 5:13
  Speaker 1: I see.
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  Speaker 1: But we are seeing real commercial steps.
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  Speaker 1: Dr.
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  Speaker 1: Jose Ignasi Latour mentioned Quantanum's Helios machine moving towards commercial clients.
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  Speaker 1: They're even deploying one outside their HQ in Singapore.
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  Speaker 0: So the whole conversation is getting more practical, less speculative?
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  Speaker 0: Definitely.
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  Speaker 1: Jaime Gomez Garcia and Antonio Grasso both emphasize this shift away from vague milestones like Y-to-Q,
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  Speaker 0: remember that?
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  Speaker 0: Vaguely, yeah.
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  Speaker 1: Towards pragmatic things like long-term crypto agility, getting ready for compliance.
• 5:43
  Speaker 1: And Michael Marthala really hammered this home.
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  Speaker 1: Durable progress means focusing on provable algorithms, ones with super quadratic speed-ups that definitively beat classical methods, not just relying on heuristics.
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  Speaker 1: That's where the real value is.
• 5:56
  Speaker 0: That focus on real value is a good segue, actually, because none of this high-tech stuff, AI, security, quantum works without a solid digital foundation.
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  Speaker 0: Let's shift to our final theme, digital infrastructure, cloud sovereignty, and data alignment.
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  Speaker 0: AI scale seems to have put data centers firmly back on the board's agenda.
• 6:15
  Speaker 1: Absolutely essential.
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  Speaker 1: A part of K gave that stark reminder.
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  Speaker 1: infrastructure strategy is business strategy, especially when.
• 6:23
  Speaker 1: what was it?
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  Speaker 1: Sixty percent of IT outages cost over a hundred thousand dollars.
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  Speaker 1: The financial risk is massive.
• 6:29
  Speaker 0: And the investment needed just for AI scale.
• 6:31
  Speaker 0: Olga Meiler highlighted a projection of six point seven trillion dollars in total capex by twenty thirty.
• 6:37
  Speaker 0: Huge numbers.
• 6:38
  Speaker 0: But she also noted it's complex, right?
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  Speaker 0: High barriers to entry and most tenants are just a few hyperscalers.
• 6:44
  Speaker 1: Exactly.
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  Speaker 1: And that concentration of power, that's the core of the sovereignty.
• 6:48
  Speaker 1: debate, especially in Europe.
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  Speaker 1: Christine Ackfuss-Nicolakes stressed how urgent it is for Europe to cut its reliance on non-European hydroscalers.
• 6:56
  Speaker 1: Because
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  Speaker 0: they handle, what, seventy percent of European workloads currently?
• 6:59
  Speaker 0: That's
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  Speaker 1: the figure.
• 7:00
  Speaker 1: So initiatives like T-Cloud Public are explicitly about reducing that financial and, frankly, geopolitical risk.
• 7:05
  Speaker 0: And we're seeing investment follow that strategy.
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  Speaker 0: Lauren Eccles reported on that.
• 7:09
  Speaker 0: NVIDIA and Deutsche Telekom collaboration, potentially a billion-euro data center in Munich, aimed squarely at European enterprise clients needing local AI.
• 7:17
  Speaker 0: infrastructure.
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  Speaker 1: Makes sense.
• 7:19
  Speaker 1: But remember, the best infrastructure is useless without good data.
• 7:24
  Speaker 1: Christian Klein's point was fundamental.
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  Speaker 1: Trusted data is the absolute prerequisite for AI value.
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  Speaker 1: Garbage in garbage out.
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  Speaker 1: Still applies.
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  Speaker 0: And it needs to be fast data, too.
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  Speaker 0: Kai Weiner shared insights on real-time processing becoming the norm, using things like Apache Kafka to stream SAP ERP data, ECC, S-for-HANA breaking down silos, speeding up decisions.
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  Speaker 1: That integration piece is key.
• 7:49
  Speaker 1: And beyond the tech, regulation is pushing for more agility, too.
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  Speaker 1: Alexander Pokrant detailed the EU Data Acts goal.
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  Speaker 1: fight vendor lock-in.
• 7:57
  Speaker 1: By twenty twenty seven they want to slash the barriers even get rid of switching fees for changing data processing providers.
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  Speaker 0: That's a significant push for flexibility.
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  Speaker 1: It is and all this regulation.
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  Speaker 1: the tech shifts its changing architectures.
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  Speaker 1: Dr.
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  Speaker 1: Yocontin Malinowski pointed out how edge computing enables new hybrid models pushing processing closer to where data is actually created faster more resilient.
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  Speaker 0: And Abby went had a good reminder too that even with all this complexity, you don't have to boil the ocean immediately.
• 8:23
  Speaker 0: Digitalization can start small.
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  Speaker 0: Model one process first, perhaps.
• 8:27
  Speaker 1: It really was a packed couple of weeks reflected in those posts.
• 8:31
  Speaker 1: We saw cybersecurity fundamentally redefine.
• 8:34
  Speaker 1: It's now a strategic profit engine, not just defense.
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  Speaker 1: We saw quantum making that critical shift from theory towards, you know, the beginnings of hybrid scalable production.
• 8:45
  Speaker 1: Right.
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  Speaker 1: And maybe.
• 8:47
  Speaker 1: Most importantly, digital infrastructure got reframed.
• 8:50
  Speaker 1: It's now seen as a strategic, even sovereign, national level asset.
• 8:56
  Speaker 0: Yeah, the acceleration across all three themes is what really stands out.
• 9:00
  Speaker 0: So as organizations look ahead, considering how fast AI hardware is improving and how complex cybersecurity is getting, demanding that integrated thinking there's a really critical investment choice coming up, isn't there?
• 9:10
  Speaker 1: There absolutely is.
• 9:11
  Speaker 1: And maybe that's the final thought to leave you with today.
• 9:13
  Speaker 1: Given that pace and complexity, how should organizations best prioritize their long-term infrastructure investments?
• 9:20
  Speaker 1: Is it about owning the physical assets like data centers to guarantee sovereignty?
• 9:24
  Speaker 1: Or is it more about optimizing the agility and resilience of hybrid architectures, spreading across multiple cloud and edge providers?
• 9:31
  Speaker 1: Where do you place your bets?
• 9:32
  Speaker 0: That is a tough question and one that will likely shape ICT strategy for the next decade.
• 9:37
  Speaker 0: If you enjoyed this episode, new episodes drop every two weeks.
• 9:40
  Speaker 0: Also check out our other editions on cloud, defense tech, digital products and services, artificial intelligence, sustainability and green ICT, defense tech and health
• 9:50
  Speaker 1: tech.
• 9:51
  Speaker 1: Thank you for joining us for this deep dive into the latest tech insights.
• 9:54
  Speaker 0: Don't forget to subscribe for your next deep dive into the source material.
• 9:57
  Speaker 0: We catch you next time.