Best of LinkedIn: ICT & Tech Insights CW 43/ 44
Show notes
We curate most relevant posts about ICT & Tech Insights on LinkedIn and regularly share key takeaways.
This edition provides a broad overview of digital transformation and the intersecting fields of cybersecurity, AI, and quantum computing. Several authors discuss the escalating cyber threats, specifically emphasizing the need for robust defences against brute-force attacks and the strategic importance of treating cyber risk as a business issue, moving beyond simple technical compliance. A significant focus is placed on the rapid advancements in artificial intelligence, covering its use in due diligence, its role in both advancing threats and enabling defence mechanisms, and the crucial requirement to build trust in AI agents. Furthermore, the sources explore the accelerating quantum computing industry, noting major investments, the transition to commercial applications, and the necessity for organizations to prepare for quantum-safe security and hybrid quantum-classical systems that will revolutionize computation. Finally, several authors address digital infrastructure, highlighting the criticality of data centres for AI growth, the push for edge computing, and European regulatory efforts like the EU Data Act to promote data sovereignty and reduce vendor lock-in.
This podcast was created via Google NotebookLM.
Show transcript
00:00:00: 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.
00:00:08: Frennus supports ICT enterprises with market and competitive intelligence, decoding emerging technologies, customer insights, regulatory shifts and competitor strategies.
00:00:18: So product teams and strategy leaders don't just react but shape the future.
00:00:22: Welcome back to the deep dive.
00:00:23: 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.
00:00:33: Yeah, and it's more than just, you know, headlines this time.
00:00:36: Looking through the posts, there's a clear convergence happening.
00:00:38: AI, cybersecurity, quantum.
00:00:41: Right.
00:00:41: They're not really siloed topics anymore.
00:00:43: Right.
00:00:43: We're seeing this definite shift, moving past pilot projects, past isolated R&D.
00:00:48: and really into, well, mandatory production grade systems.
00:00:51: So our job today is to unpack the actionable insights and all that.
00:00:54: Okay, let's get right into it then.
00:00:56: Starting with what feels like the most urgent convergence.
00:01:00: AI
00:01:01: and cybersecurity.
00:01:02: It feels like the whole narrative has changed, hasn't it?
00:01:05: Security isn't just defense, not just a cost center anymore.
00:01:08: Definitely not.
00:01:09: It's becoming a strategic profit driver.
00:01:11: And AI is really accelerating that.
00:01:13: How
00:01:14: so?
00:01:14: Well, it's this duality.
00:01:16: Kaushik Jay highlighted this point.
00:01:18: AI-driven cyber threats, they're advancing incredibly fast.
00:01:22: Think sophisticated deception, massive automated attacks.
00:01:25: Serious stuff.
00:01:26: It is.
00:01:27: But at the same time, that exact same AI tech is powering a revolution in defense.
00:01:33: We're talking AI tools that drastically speed up threat detection.
00:01:37: response times the whole nine yards.
00:01:39: So it's an AI arms race.
00:01:41: Pretty much.
00:01:42: And think about what happens when the old idea of a corporate perimeter just dissolves, you know, with remote work, cloud everywhere.
00:01:48: Crest
00:01:48: becomes the central issue.
00:01:49: Exactly.
00:01:50: Yeah.
00:01:50: Which is why zero trust isn't just a buzzword now.
00:01:52: It's fundamental.
00:01:53: Yeah.
00:01:54: Mark Trump laid out that blueprint, continues verification, micro segmentation, and always assuming breach.
00:02:00: You just can't trust by default.
00:02:02: And then you layer on AI agents.
00:02:04: Patnissary Warrior brought this up, moving from human to software interaction to, well, human to agent.
00:02:11: That demands a whole new layer of trust, right?
00:02:14: A zero trust framework to constantly vet what these agents are doing.
00:02:17: Makes
00:02:17: it exponentially more complex, yeah.
00:02:19: And that's why cybersecurity can't be seen as just like an IT department fix anymore.
00:02:24: Ok, and Yilda's really stressed this.
00:02:26: It's a complex ecosystem.
00:02:28: Ecosystem.
00:02:29: Yeah,
00:02:29: involving risk management, GRC, app security.
00:02:33: automation.
00:02:34: it's miles away from that old stereotype of the hacker in a hoodie.
00:02:37: And managing that complexity.
00:02:39: It's expensive.
00:02:40: Adrian Buro made a really strong point about the hitting costs if your security architecture is all fragmented.
00:02:46: Operational inefficiencies needing top-tier expensive talent just to manage the mess.
00:02:50: Right, so the push for integrated security ecosystems is becoming an economic necessity now, not just a technical one.
00:02:56: Which explains the shift in leadership view.
00:02:58: You saw Kristoff Foulon and Nick Granak both observing that cyber security is now treated as a core strategic... business issue.
00:03:05: It's not just a technical checklist item to tick off.
00:03:07: Absolutely.
00:03:08: And the market's validating this.
00:03:09: Look at telecoms, like Andrews Lawler observed.
00:03:12: They're treating securities a profit center now, selling managed detection, secure connectivity.
00:03:17: It's a premium service
00:03:18: and the projected spending reflects that.
00:03:20: over seventy five billion dollars globally by twenty thirty just in that niche.
00:03:25: huge numbers
00:03:26: and just for context on the scale of defense needed Vasu jackall from Microsoft shared that their security stack processes one hundred trillion signals
00:03:36: Daily.
00:03:37: Wow, that's monumental.
00:03:38: intelligence needed just to stay.
00:03:41: and that shared data processing intensity It naturally leads us to the absolute cutting-edge quantum technologies.
00:03:48: 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.
00:03:56: the keyword seems to be hybrid though, right?
00:03:58: It's not purely quantum replacing classical yet
00:04:00: not yet.
00:04:01: Summit Chunder highlighted NVIDIA's NVQ link, which is pretty crucial.
00:04:05: It seamlessly fuses quantum processors with GPU supercomputers.
00:04:09: That high-speed connection unlocks this first wave of hybrid quantum AI computing.
00:04:13: And you need different hardware approaches for that kind of scale.
00:04:17: Bob Clark pointed to what Sequantum is doing, using photons, light, for qubits.
00:04:22: Apparently, that helps solve some of the stability problems you get with the traditional methods.
00:04:26: Innovative stuff.
00:04:27: And then... thinking really big scale.
00:04:29: John Mickelon noted Elon Musk's rather ambitious proposal.
00:04:34: Oh yeah.
00:04:35: Building quantum infrastructure on the moon in the permanently shadowed craters to get those naturally super cold stable environments.
00:04:43: Okay, that's definitely thinking outside the box.
00:04:46: Maybe a bit.
00:04:46: far out for now.
00:04:47: Hey,
00:04:48: perhaps.
00:04:49: Bringing it back down to Earth, Europe is making some serious moves here.
00:04:52: Dr.
00:04:53: Karina Meath shared some interesting metrics.
00:04:54: Europe has about a third of the world's quantum startups and almost half the global QC hardware and software development.
00:05:01: That sounds really strong.
00:05:02: Is there a catch?
00:05:03: There is.
00:05:04: A big one.
00:05:04: Talent.
00:05:05: Europe's looking at a shortfall of maybe a thousand quantum experts a year by twenty twenty five.
00:05:09: So huge opportunity there if you're an ICT Pro thinking of a pivot.
00:05:13: I see.
00:05:13: But we are seeing real commercial steps.
00:05:18: Dr.
00:05:18: Jose Ignasi Latour mentioned Quantanum's Helios machine moving towards commercial clients.
00:05:23: They're even deploying one outside their HQ in Singapore.
00:05:26: So the whole conversation is getting more practical, less speculative?
00:05:29: Definitely.
00:05:30: Jaime Gomez Garcia and Antonio Grasso both emphasize this shift away from vague milestones like Y-to-Q,
00:05:36: remember that?
00:05:37: Vaguely, yeah.
00:05:38: Towards pragmatic things like long-term crypto agility, getting ready for compliance.
00:05:43: And Michael Marthala really hammered this home.
00:05:45: Durable progress means focusing on provable algorithms, ones with super quadratic speed-ups that definitively beat classical methods, not just relying on heuristics.
00:05:55: That's where the real value is.
00:05:56: 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.
00:06:05: Let's shift to our final theme, digital infrastructure, cloud sovereignty, and data alignment.
00:06:11: AI scale seems to have put data centers firmly back on the board's agenda.
00:06:15: Absolutely essential.
00:06:16: A part of K gave that stark reminder.
00:06:19: infrastructure strategy is business strategy, especially when.
00:06:23: what was it?
00:06:23: Sixty percent of IT outages cost over a hundred thousand dollars.
00:06:27: The financial risk is massive.
00:06:29: And the investment needed just for AI scale.
00:06:31: Olga Meiler highlighted a projection of six point seven trillion dollars in total capex by twenty thirty.
00:06:37: Huge numbers.
00:06:38: But she also noted it's complex, right?
00:06:40: High barriers to entry and most tenants are just a few hyperscalers.
00:06:44: Exactly.
00:06:45: And that concentration of power, that's the core of the sovereignty.
00:06:48: debate, especially in Europe.
00:06:50: Christine Ackfuss-Nicolakes stressed how urgent it is for Europe to cut its reliance on non-European hydroscalers.
00:06:56: Because
00:06:56: they handle, what, seventy percent of European workloads currently?
00:06:59: That's
00:06:59: the figure.
00:07:00: So initiatives like T-Cloud Public are explicitly about reducing that financial and, frankly, geopolitical risk.
00:07:05: And we're seeing investment follow that strategy.
00:07:07: Lauren Eccles reported on that.
00:07:09: NVIDIA and Deutsche Telekom collaboration, potentially a billion-euro data center in Munich, aimed squarely at European enterprise clients needing local AI.
00:07:17: infrastructure.
00:07:18: Makes sense.
00:07:19: But remember, the best infrastructure is useless without good data.
00:07:24: Christian Klein's point was fundamental.
00:07:26: Trusted data is the absolute prerequisite for AI value.
00:07:30: Garbage in garbage out.
00:07:32: Still applies.
00:07:33: And it needs to be fast data, too.
00:07:35: 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.
00:07:47: That integration piece is key.
00:07:49: And beyond the tech, regulation is pushing for more agility, too.
00:07:52: Alexander Pokrant detailed the EU Data Acts goal.
00:07:56: fight vendor lock-in.
00:07:57: By twenty twenty seven they want to slash the barriers even get rid of switching fees for changing data processing providers.
00:08:03: That's a significant push for flexibility.
00:08:05: It is and all this regulation.
00:08:07: the tech shifts its changing architectures.
00:08:09: Dr.
00:08:09: Yocontin Malinowski pointed out how edge computing enables new hybrid models pushing processing closer to where data is actually created faster more resilient.
00:08:17: And Abby went had a good reminder too that even with all this complexity, you don't have to boil the ocean immediately.
00:08:23: Digitalization can start small.
00:08:25: Model one process first, perhaps.
00:08:27: It really was a packed couple of weeks reflected in those posts.
00:08:31: We saw cybersecurity fundamentally redefine.
00:08:34: It's now a strategic profit engine, not just defense.
00:08:38: We saw quantum making that critical shift from theory towards, you know, the beginnings of hybrid scalable production.
00:08:45: Right.
00:08:46: And maybe.
00:08:47: Most importantly, digital infrastructure got reframed.
00:08:50: It's now seen as a strategic, even sovereign, national level asset.
00:08:56: Yeah, the acceleration across all three themes is what really stands out.
00:09:00: 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?
00:09:10: There absolutely is.
00:09:11: And maybe that's the final thought to leave you with today.
00:09:13: Given that pace and complexity, how should organizations best prioritize their long-term infrastructure investments?
00:09:20: Is it about owning the physical assets like data centers to guarantee sovereignty?
00:09:24: Or is it more about optimizing the agility and resilience of hybrid architectures, spreading across multiple cloud and edge providers?
00:09:31: Where do you place your bets?
00:09:32: That is a tough question and one that will likely shape ICT strategy for the next decade.
00:09:37: If you enjoyed this episode, new episodes drop every two weeks.
00:09:40: Also check out our other editions on cloud, defense tech, digital products and services, artificial intelligence, sustainability and green ICT, defense tech and health
00:09:50: tech.
00:09:51: Thank you for joining us for this deep dive into the latest tech insights.
00:09:54: Don't forget to subscribe for your next deep dive into the source material.
00:09:57: We catch you next time.
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