Latest / Best of LinkedIn: Digital Transformation & Tech / Best of LinkedIn: ICT & Tech Insights CW 11/ 12

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Best of LinkedIn: ICT & Tech Insights CW 11/ 12 · Best of LinkedIn: Digital Transformation & Tech

• 0:00
  Speaker 1: This episode is provided by Thomas Allgaier and Frennis, based on the most relevant LinkedIn posts about ICT and tech insights from CW-Eleven & Twelve.
• 0:08
  Speaker 1: Frennis supports ICT enterprises in the form of delivering precise ICT market and pricing intelligence that analyst subscriptions and existing databases cannot provide.
• 0:17
  Speaker 1: you can find more info in the description.
• 0:20
  Speaker 0: Welcome to The Deep Dive everyone.
• 0:21
  Speaker 0: Yeah
• 0:22
  Speaker 1: we are so glad your here.
• 0:23
  Speaker 1: We've got a lot ground to cover today.
• 0:27
  Speaker 0: heavily curated tech and ICT insights from calendar weeks, eleven and twelve of twenty-twenty six.
• 0:33
  Speaker 1: Right?
• 0:33
  Speaker 1: And if there is one overarching theme across the market right now it's a massive urgent pivot
• 0:39
  Speaker 0: Exactly!
• 0:39
  Speaker 0: The era just broad hyped up.
• 0:42
  Speaker 0: ambition especially around AI is completely over.
• 0:45
  Speaker 0: Oh
• 0:45
  Speaker 1: totally over.
• 0:46
  Speaker 1: people are tired at the hype.
• 0:47
  Speaker 0: Yeah...the focus has completely shifted to deployable operating models.
• 0:51
  Speaker 0: It all about execution resilience and rock solid architecture
• 0:55
  Speaker 1: And we're going to unpack that across a few different clusters today.
• 0:58
  Speaker 1: We're talking cyber resilience, the maturation of AI security digital sovereignty and quantum computing finally becoming practical
• 1:07
  Speaker 0: which is wild.
• 1:08
  Speaker 0: but let's start with Cyber Resilience because the baseline is shifting so fast
• 1:12
  Speaker 1: it Is.
• 1:13
  Speaker 1: I saw a post from Brad Fraser That just perfectly captured this.
• 1:16
  Speaker 1: he argued that The absolute most expensive word in cybersecurity Today is the word assume
• 1:22
  Speaker 0: oh man Assume, that is so true.
• 1:24
  Speaker 1: Wait like assuming your backups work or assuming Your staff won't click that one highly targeted phishing link.
• 1:30
  Speaker 1: He says it's a massive business
• 1:32
  Speaker 0: trap.
• 1:32
  Speaker 0: It really does.
• 1:33
  Speaker 0: I mean verification Is completely changing the defensive playbook before we even hit Q to
• 1:37
  Speaker 1: yeah and Laura Vaughn actually expanded on That exact failure mode specifically looking at compliance.
• 1:43
  Speaker 0: okay What did she say?
• 1:44
  Speaker 1: She pointed out that organizations routinely fail because they just treat A cybersecurity framework as The finish line.
• 1:50
  Speaker 0: ah yes the classic checkbox compliance.
• 1:54
  Speaker 1: Exactly!
• 1:55
  Speaker 1: They get their green scores, they finalize their perfect documentation and then just put it on a shelf until next audit.
• 2:01
  Speaker 0: But an audit doesn't actually test if your multi-factor authentication is genuinely enforced across your legacy systems right?
• 2:10
  Speaker 1: Bingo.
• 2:11
  Speaker 1: Or If you're backups can restore active database while actively under pressure.
• 2:17
  Speaker 1: It creates this really dangerous illusion of security.
• 2:20
  Speaker 0: Well, it makes me think about how companies are trying to solve this.
• 2:24
  Speaker 0: Like I always look at this through the lens of performance engineering.
• 2:27
  Speaker 1: How do you mean?
• 2:28
  Speaker 0: well a lot organizations try to solve these foundational gaps by just going out and buying an AI tool.
• 2:33
  Speaker 0: but Think of AI like a massive supercharged formula engine.
• 2:38
  Speaker 0: Okay
• 2:38
  Speaker 1: i like this analogy
• 2:39
  Speaker 0: if You take that f-one engine And drop It into A car with The rusted Out chassis you know Crack Steering Column and Literally No brakes!
• 2:48
  Speaker 1: You're not wheeling the race.
• 2:49
  Speaker 0: no You're just going to crash into a wall at two hundred miles an hour.
• 2:52
  Speaker 1: Yeah, Marcel Velika actually pointed this out in his recent analysis.
• 2:55
  Speaker 1: he said AI will absolutely not fix a weak security architecture.
• 2:59
  Speaker 0: Right it just makes the weakness execute faster.
• 3:02
  Speaker 1: Exactly real capability requires the strict non-negotiable sequence.
• 3:07
  Speaker 1: first you have to build the architecture Then you establish visibility, detection response recovery and automation.
• 3:15
  Speaker 1: And then only after all of that is functioning seamlessly.
• 3:18
  Speaker 1: do you layer in the AI?
• 3:20
  Speaker 0: because otherwise if your underlying detection logic is flawed adding a I just generates false positives at machine speed.
• 3:27
  Speaker 1: yeah it Just completely buries Your security team an alert noise.
• 3:31
  Speaker 0: and speaking of noise Sarah Flutch highlighted A really fascinating point from Bryson Bort's recent session at S four by twenty six
• 3:39
  Speaker 1: about operational technology.
• 3:40
  Speaker 0: Yeah, OT visibility.
• 3:42
  Speaker 0: so think of manufacturing floors power grids water treatment plants that kind of stuff.
• 3:46
  Speaker 0: right board argues that aiming for one hundred percent asset visibility in ot environments is actually vastly overrated.
• 3:53
  Speaker 1: wait really i feel like everyone is always pushing for total visibility.
• 3:56
  Speaker 0: I know it's totally counterintuitive but his point is that visibility is useless if it's not actionable.
• 4:02
  Speaker 1: okay that makes sense.
• 4:03
  Speaker 0: Knowing a vulnerable, obscure programmable logic controller exists on your factory floor doesn't help you if you physically lack the operational capability to patch it or isolate.
• 4:15
  Speaker 1: So what's the alternative then?
• 4:17
  Speaker 0: He suggests flipping the script entirely.
• 4:19
  Speaker 0: focus on one hundred percent visibility in your IT network instead
• 4:23
  Speaker 1: because that's The Gateway
• 4:24
  Speaker 0: exactly.
• 4:25
  Speaker 0: That is almost always how attackers reach the OT environment in the first place.
• 4:29
  Speaker 1: so You locked down the IT side.
• 4:31
  Speaker 1: What about the Factory Floor itself?
• 4:33
  Speaker 0: Instead of mapping every single asset, you establish strategic control points.
• 4:37
  Speaker 0: You build level three perimeters basically tripwires.
• 4:41
  Speaker 0: I see.
• 4:42
  Speaker 0: yeah so even if a perimeter firewall eventually fails the attacker is forced to interact with that tripwire which creates a highly actionable alert
• 4:49
  Speaker 1: Which gives you the exact signal?
• 4:51
  Speaker 1: You need to respond and we need those trip wires more than ever right now
• 4:54
  Speaker 0: because it's silent threats.
• 4:56
  Speaker 1: Yeah Threat actors are moving away from that noisy smash and grab ransomware.
• 5:01
  Speaker 1: They're moving towards silent pre-positioning.
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  Speaker 1: Christopher Clark shared a deeply concerning report recently about the Iranian threat group Seedworm
• 5:09
  Speaker 0: Also known as Muddy Water, right?
• 5:10
  Speaker 1: Yes!
• 5:11
  Speaker 1: Muddy water.
• 5:12
  Speaker 1: they Are quietly embedding this malware called Dindor inside critical infrastructure across The US & Israel.
• 5:20
  Speaker 0: Just waiting
• 5:21
  Speaker 1: just waiting but the mechanism they used to hide is what makes it so wild.
• 5:25
  Speaker 1: They are running this malware inside the Dino JavaScript runtime.
• 5:30
  Speaker 0: Oh wow!
• 5:31
  Speaker 0: For anyone listening who isn't familiar, Dino is normally a highly secure totally legitimate environment.
• 5:37
  Speaker 1: Right developers use it to execute javascript outside of a web browser.
• 5:41
  Speaker 0: So because its a trusted tool security platforms just ignore
• 5:44
  Speaker 1: exactly Most endpoint detection and response platforms, the EDRs.
• 5:49
  Speaker 1: they basically just whitelisted by default.
• 5:51
  Speaker 1: They don't monitor the processes happening inside it Man.
• 5:54
  Speaker 0: so the attackers blend perfectly into normal administrative traffic.
• 5:57
  Speaker 1: Yeah!
• 5:57
  Speaker 1: They are practically invisible.
• 5:59
  Speaker 1: And when you look at your own organization's vendor list You really have to consider the implications of these silent threats
• 6:05
  Speaker 0: Because you inherit their vulnerabilities.
• 6:07
  Speaker 0: Yep
• 6:08
  Speaker 1: Luke Irwin noted recently that you inherently adopt your vendors blast radius.
• 6:12
  Speaker 1: That
• 6:12
  Speaker 0: is a great term.
• 6:13
  Speaker 1: It IS Thread.
• 6:15
  Speaker 1: actors know that breaching a massive well-defended enterprise is hard, but breaching their midsize logistics vendor.
• 6:21
  Speaker 0: The vendor with the stretch IT department running legacy software?
• 6:25
  Speaker 1: Exactly!
• 6:26
  Speaker 1: It's incredibly easy.
• 6:27
  Speaker 1: so if you are not actively verifying your supply chain architecture You're literally just outsourcing your risk.
• 6:33
  Speaker 0: And in some sectors That risk isn't just financial anymore.
• 6:37
  Speaker 0: Robby Munga made this really stark observation regarding health care.
• 6:41
  Speaker 0: What did
• 6:41
  Speaker 1: he say?
• 6:42
  Speaker 0: He said cyberrisk and hospital is now, quite literally a patient safety risk.
• 6:48
  Speaker 0: It's a continuity of care problem?
• 6:49
  Speaker 1: Wow!
• 6:50
  Speaker 1: Yeah that's entirely true.
• 6:52
  Speaker 0: So he is advocating for what he calls a minimum viable hospital mindset.
• 6:57
  Speaker 1: Minimum viable hospital?
• 6:59
  Speaker 1: Okay What does it look like?
• 7:00
  Speaker 0: It means fundamentally re-architecting your workflows.
• 7:03
  Speaker 0: to answer one question What are the absolute minimum offline capabilities required to keep patients alive when the digital systems are completely compromised?
• 7:12
  Speaker 1: That is terrifying, but it's the exact conversation boardrooms need to be having right now.
• 7:17
  Speaker 1: Absolutely
• 7:18
  Speaker 0: because the challenge is human defenders just cannot scale fast enough To counter these attacks anymore.
• 7:24
  Speaker 1: no especially Because the attackers are super charging their efforts with AI automation.
• 7:29
  Speaker 0: Yeah Let's transition into that.
• 7:30
  Speaker 0: theme.
• 7:31
  Speaker 0: two a I security matures
• 7:33
  Speaker 1: bright.
• 7:34
  Speaker 1: Matthew Rosenquist recently shared this Interpol report, and the numbers are just staggering.
• 7:40
  Speaker 1: AI-enhanced fraud is now four hundred fifty percent more effective than traditional methods.
• 7:46
  Speaker 0: Four hundred fifty per cent?
• 7:48
  Speaker 0: That's an epidemic!
• 7:49
  Speaker 0: It
• 7:49
  Speaker 1: is—and the sheer scale of that increase really comes down to the adaptive learning loop
• 7:54
  Speaker 0: Right —the AI learning from its mistakes
• 7:55
  Speaker 1: Exactly!
• 7:56
  Speaker 1: Criminals are utilizing massive computing scales.
• 7:59
  Speaker 1: every single failed scam serves as training data.
• 8:03
  Speaker 0: So if a deep fake voice clone fails... Or, If
• 8:05
  Speaker 1: a spearfishing email doesn't bypass the target's skepticism.
• 8:08
  Speaker 1: The AI instantly analyzes why it failed It refines its tone It adjusts timing and generates more persuasive variant for next ten thousand targets.
• 8:18
  Speaker 0: It is evolving social engineering at machine speed.
• 8:22
  Speaker 1: How do you even fight an adversary that iterates quickly?
• 8:25
  Speaker 1: Human reaction times are basically useless.
• 8:27
  Speaker 0: You have to fight machines with machines There no other way.
• 8:30
  Speaker 0: Harpreet Sidhu announced that Accenture is heavily expanding their agentic AI-powered managed extended detection and response, they're MXDR for Microsoft.
• 8:40
  Speaker 1: Okay so autonomous defense?
• 8:41
  Speaker 0: Yeah the objective is to deploy defensive AI agents that autonomously handle routine threat scenarios and actually execute proactive remediation without
• 8:51
  Speaker 1: waiting for a human to click approve
• 8:52
  Speaker 0: exactly.
• 8:53
  Speaker 0: Vasu Jackal at RSAC reinforced this too stating autonomous.
• 9:00
  Speaker 0: But wait,
• 9:01
  Speaker 1: handing the keys of your enterprise security over to Autonomous AI agents that requires an airtight framework of trust?
• 9:08
  Speaker 1: Oh
• 9:08
  Speaker 0: massive governance reality check!
• 9:10
  Speaker 1: Yeah because deploying these large language models is no longer a localized experimental free-for all
• 9:15
  Speaker 0: not at all.
• 9:15
  Speaker 0: Christopher Apolla highlighted a huge shift in public sector deployment recently
• 9:19
  Speaker 1: with USAI platform.
• 9:20
  Speaker 0: right yep NIST and the GSA are partnering to evaluate AI tools through this USI Platform
• 9:26
  Speaker 1: which fundamentally changes the compliance landscape.
• 9:30
  Speaker 0: It really does, because now before an AI tool can touch federal operations it must be systematically measured for security reliability and bias.
• 9:39
  Speaker 1: It's essentially an authority to operate in ATO specifically tailored for AI systems
• 9:46
  Speaker 0: Exactly And look regardless of the shifting political currents or whatever recent executive orders are driving tech policy right Now.
• 9:54
  Speaker 0: The pure governance risk and compliance impact is absolute
• 9:58
  Speaker 1: Right, you can't just plug in off-the-shelf AI model into a sensitive workflow anymore without rigorous standardized vetting.
• 10:04
  Speaker 0: And that rigorous vetting is becoming mandatory everywhere because AI's embedding itself to the very core of business operations too?
• 10:11
  Speaker 1: Yeah Sandra Veller pointed out we are officially entering an era of agentic ERP with systems like SAP Egentic
• 10:18
  Speaker 0: ERP, that's a huge shift.
• 10:20
  Speaker 0: It
• 10:20
  Speaker 1: is!
• 10:20
  Speaker 1: AI is transitioning from being just this helpful little chatbot on the periphery to The actual operating layer of the enterprise.
• 10:27
  Speaker 0: it's actively guiding supply chains and financial decisions.
• 10:30
  Speaker 1: right but she points out That when these integrations fail they rarely fail because the underlying algorithm Is bad.
• 10:36
  Speaker 0: why do they fail them?
• 10:38
  Speaker 1: They fail because the organization's data is siloed.
• 10:41
  Speaker 1: Ownership is ambiguous, internal processes are disconnected... You basically have to fix your operating model before AI can optimize
• 10:49
  Speaker 0: it.
• 10:49
  Speaker 0: That makes perfect sense.
• 10:50
  Speaker 1: Yeah
• 10:51
  Speaker 0: And you know if AI agents act as a literal operating system for core business and government functions It raises an urgent strategic question
• 11:00
  Speaker 1: Which is?
• 11:01
  Speaker 1: Who
• 11:01
  Speaker 0: actually governs that data feeding those agents?
• 11:04
  Speaker 0: Yes.
• 11:05
  Speaker 0: This operational reality is driving a massive shift in the boardroom regarding digital sovereignty, which is our third theme today.
• 11:11
  Speaker 1: and it's not just about data localization anymore?
• 11:13
  Speaker 1: Is it
• 11:14
  Speaker 0: no?
• 11:14
  Speaker 0: Andy Lane noted that European leaders have moved way past Just asking where my data physically located.
• 11:19
  Speaker 1: It's about control
• 11:20
  Speaker 0: exactly.
• 11:21
  Speaker 0: The demands are now about governance.
• 11:24
  Speaker 0: who controls access?
• 11:25
  Speaker 0: How does a nation adopt hyper scale AI without creating an unbreakable dependency on a foreign vendor?
• 11:31
  Speaker 1: Sovereignty is no longer about geographic isolation.
• 11:34
  Speaker 1: It's about transparency and operational control
• 11:37
  Speaker 0: And we're seeing two drastically different approaches to executing that control on a national level right now.
• 11:43
  Speaker 1: Yeah, let's talk about Estonia first because hofford elfson recently analyzed their approach through peak Their health in information systems center.
• 11:51
  Speaker 0: the stony is always so ahead of the curve On this stuff.
• 11:54
  Speaker 1: they really are.
• 11:55
  Speaker 1: and what is absolutely wild?
• 11:57
  Speaker 1: About those?
• 11:57
  Speaker 1: strategy deliberately employs zero in-house developers.
• 12:03
  Speaker 0: Wait, really?
• 12:04
  Speaker 0: Zero for a national digital health system.
• 12:06
  Speaker 1: Zero, they only employ architects product owners and data quality specialists.
• 12:10
  Speaker 0: That is fascinating.
• 12:11
  Speaker 0: their
• 12:12
  Speaker 1: entire System Is built on procuring thin while They retain strict absolute control over the architecture And The Data Standards
• 12:19
  Speaker 0: so they achieve Sovereignty Through Radical Transparency Rather Than Building A walled Garden.
• 12:23
  Speaker 0: Exactly
• 12:24
  Speaker 1: Citizens Can log into the system and see a Clear Immutable Log of exactly who has access Their Medical Data when They Access it and why
• 12:32
  Speaker 0: And because that trust architecture is so robust, the buy-in is incredible.
• 12:37
  Speaker 0: Only what?
• 12:38
  Speaker 0: Zero point zero.
• 12:39
  Speaker 0: two percent of Estonians have chosen to opt out of data sharing.
• 12:42
  Speaker 0: Yep,
• 12:42
  Speaker 1: zero point zero.
• 12:43
  Speaker 1: Two percent.
• 12:44
  Speaker 1: they built trust by proving The citizen holds the ultimate access controls.
• 12:47
  Speaker 0: okay now contrast That architectural approach with the heavy Regulatory approach we are seeing unfold in Brazil right Now.
• 12:54
  Speaker 1: oh...the new ECA digital law.
• 12:58
  Speaker 1: Renda Mathias Fernandez shared some great insights on this.
• 13:01
  Speaker 0: Yeah, Brazil is effectively trying to end the digital Wild West for minors.
• 13:05
  Speaker 0: They are treating digital platforms as a literal public health issue which
• 13:10
  Speaker 1: has huge paradigm shift.
• 13:12
  Speaker 1: what do they actually banning?
• 13:13
  Speaker 0: They're legally banning The Addiction Engine Wow!
• 13:16
  Speaker 0: Meaning infinite scrolling and default autoplay Are completely prohibited from miners.
• 13:21
  Speaker 0: There also outlawing behavioral profiling For targeted advertising aimed at children.
• 13:26
  Speaker 0: That's
• 13:26
  Speaker 1: massive But how did you enforce that?
• 13:29
  Speaker 1: You have know who was a miner.
• 13:30
  Speaker 0: That is the most consequential part of legislation.
• 13:33
  Speaker 0: It's end-of self declared age verification.
• 13:36
  Speaker 0: Platforms must now implement reliable, auditable methods to prove a user s age.
• 13:41
  Speaker 1: And that has ignited profound debate between protection and privacy?
• 13:46
  Speaker 0: A huge debate!
• 13:47
  Speaker 0: Because to reliably verify age online systems generally require government ID or biometric scan
• 13:55
  Speaker 1: And parents and child safety advocates are saying, look this is a necessary step to defang predatory algorithms.
• 14:01
  Speaker 0: Exactly.
• 14:02
  Speaker 0: but on the flip side privacy advocates argue that effectively ends online anonymity.
• 14:07
  Speaker 0: Yeah
• 14:07
  Speaker 1: they argue it forces every single user into surveillance architecture.
• 14:11
  Speaker 1: just browse internet.
• 14:12
  Speaker 0: It really is defining clash over what digital sovereignty actually costs individual.
• 14:17
  Speaker 1: But while those massive policy debates play out, the technical standards required to actually operationalize data sovereignty are quietly falling into place.
• 14:25
  Speaker 0: You're talking about the new EU standard?
• 14:27
  Speaker 1: Yeah.
• 14:28
  Speaker 1: Stefan Schwalhm highlighted this major milestone—the publication of the new CENTS-OneEtwoSixFour Standard for Ida's Qualified Ledger Trust Services.
• 14:38
  Speaker 0: That is a mouthful!
• 14:39
  Speaker 0: What does it do?
• 14:40
  Speaker 1: Prior to this standard, if you used a blockchain or distributed ledger... ...to track a sensitive supply chain across European borders.
• 14:46
  Speaker 1: Which
• 14:46
  Speaker 0: a lot of companies want to do!
• 14:48
  Speaker 1: Right but it was incredibly difficult to prove the legal validity.. ..of those transactions under EU law.
• 14:54
  Speaker 1: Ah I see This standard bridges that gap.
• 14:57
  Speaker 1: It makes blockchain legally binding and usable in highly regulated European environments.
• 15:02
  Speaker 0: So it paves the way for innovations like digital product passport where you need absolute sovereign trust in decentralized data exactly.
• 15:11
  Speaker 1: but you know protecting our sovereign data today relies entirely on the mathematical complexity of modern cryptography.
• 15:17
  Speaker 1: yes and that brings us back to the threat we discussed at the very beginning of this deep dive
• 15:22
  Speaker 0: quantum.
• 15:23
  Speaker 1: Yes, theme four The rapidly accelerating timeline.
• 15:29
  Speaker 0: Dennis E. Lieber issued a really stark warning about this, he said.
• 15:32
  Speaker 0: quantum computing is not future problem.
• 15:34
  Speaker 0: it's present day security deadline
• 15:36
  Speaker 1: Because of the store now decrypt later strategy?
• 15:39
  Speaker 0: Exactly Threat actors are harvesting encrypted proprietary data financial records state secrets today just scooping all up
• 15:47
  Speaker 1: Just putting in cold storage.
• 15:48
  Speaker 1: so if you have data that must remain confidential for next ten to fifteen years your clock has effectively already run out.
• 15:54
  Speaker 0: The infrastructure keeping its safe is living on borrowed time.
• 15:57
  Speaker 1: And that inflection point is arriving so much faster than most people anticipated?
• 16:02
  Speaker 0: Yeah, Mayor Pellani pointed to twenty-twenty six as the year.
• 16:05
  Speaker 0: quantum is expected to demonstrably beat classical supercomputers in live production environments
• 16:11
  Speaker 1: specifically for challenges like optimizing global supply chains in real time, or simulating molecular structures for drug discovery.
• 16:19
  Speaker 1: Right
• 16:20
  Speaker 0: the hard science is officially transitioning out of the laboratory
• 16:23
  Speaker 1: I met Othmani and Scott Crowder shared this breakthrough from IBM.
• 16:26
  Speaker 1: that just blew my mind.
• 16:28
  Speaker 0: The magnetic material simulation?
• 16:29
  Speaker 1: Yes!
• 16:30
  Speaker 1: IBM successfully ran a quantum simulation Of A Real Complex Magnetic Material Known as KCUF-III.
• 16:37
  Speaker 0: Okay For the listener put into perspective why simulating a magnetic material actually matters
• 16:42
  Speaker 1: Sure.
• 16:43
  Speaker 1: so Trying to simulate complex molecular interactions on a classical computer is basically like trying to map the exact position of every single grain of sand on a beach using a pocket calculator.
• 16:54
  Speaker 1: Right,
• 16:54
  Speaker 0: variables are just too vast
• 16:55
  Speaker 1: Exactly, but IBM's quantum simulation perfectly matched the data from highly expensive real-world physical neutron scattering experiments.
• 17:05
  Speaker 1: Wow We are officially moving past the phase of running theoretical toy problems.
• 17:10
  Speaker 1: we're actually replacing physical material science testing with Quantum calculation.
• 17:16
  Speaker 0: that is incredible and The hardware race to support these calculations is expanding so dramatically right now.
• 17:22
  Speaker 1: Yeah, Yossi Matias announced that Google Quantum AI is running a dual-track hardware strategy now.
• 17:28
  Speaker 0: Right!
• 17:28
  Speaker 0: Historically they focused really heavily on superconducting quivits which
• 17:32
  Speaker 1: they note scale incredibly well in time meaning They can execute millions of operations at microsecond speeds.
• 17:37
  Speaker 0: but Now they are aggressively expanding into neutral atom quivots Which scale incredibly?
• 17:42
  Speaker 0: Well and space
• 17:43
  Speaker 1: okay?
• 17:43
  Speaker 1: explain That to me scaling in space.
• 17:45
  Speaker 0: the traditional microchips even quantum ones Are limited by physical wiring and cooling constraints.
• 17:50
  Speaker 0: right with neutral atoms you are literally using lasers to hold individual atoms in place within a three-dimensional grid, in a vacuum.
• 17:59
  Speaker 1: That sounds like science fiction!
• 18:00
  Speaker 0: I know... but you can pack thousands of these quibbets together with highly flexible connectivity completely bypassing the traditional wiring bottlenecks.
• 18:10
  Speaker 1: So by running both superconducting and neutral atom tracks, Google is cross-pollinating the engineering to overcome physical limitations of scaling.
• 18:18
  Speaker 1: Exactly!
• 18:20
  Speaker 0: And the broader ecosystem is gearing up for this scale too.
• 18:23
  Speaker 0: Resonage Body & Philip Brown highlighted that Cisco was partnering with Atom Computing...
• 18:27
  Speaker 1: To architect actual networking infrastructure right?
• 18:30
  Speaker 1: Yeah
• 18:30
  Speaker 0: The Networking required to connect distributed heterogeneous quantum data centers
• 18:35
  Speaker 1: Okay But we do need to pause here and inject a hard reality check into this momentum.
• 18:39
  Speaker 0: Always good idea!
• 18:40
  Speaker 1: As incredible as these breakthroughs are, David Lindthicom offered very sobering perspective for enterprise leaders.
• 18:47
  Speaker 1: For the vast majority of companies measurable bottom line business value from quantum is still years away.
• 18:52
  Speaker 1: Ah
• 18:53
  Speaker 0: yeah because of error rates
• 18:54
  Speaker 1: The error rate in quantum calculations remain massive shortle And there's severe physical limits.
• 19:00
  Speaker 1: scaling systems reliably
• 19:02
  Speaker 0: Not mention talent shortage
• 19:04
  Speaker 1: Exactly, Amit Singhi made a similar point regarding India's quantum ambitions.
• 19:09
  Speaker 1: A nation or company might have the strategic desire to lead in quantum but you cannot simply hire a deployment-ready quantum engineer off the street.
• 19:19
  Speaker 0: No!
• 19:19
  Speaker 0: The workforce required to scale this just does not exist.
• 19:22
  Speaker 0: yet
• 19:22
  Speaker 1: It really doesn't.
• 19:23
  Speaker 0: But I will say...the bridge between theoretical power of quantum and practical reality lies in integration.
• 19:31
  Speaker 1: Right, Mauritian Mijakovic highlighted IBM's new blueprint for this.
• 19:35
  Speaker 0: The quantum-centric supercomputing, or QCSC?
• 19:38
  Speaker 0: Yeah
• 19:39
  Speaker 1: the future architecture is not a standalone quantum computer sitting in his siloed freezing basement.
• 19:44
  Speaker 0: no it's a seamless tight integration between quantum processors and classical high performance computing.
• 19:51
  Speaker 1: .The classical computers orchestrate the broader workflow they manage the data pipelines only the impossible, highly complex mathematical variables to the quantum processor.
• 20:01
  Speaker 0: Exactly it's a hybrid approach and looking at the entire landscape we've covered today The through line is actually really clear.
• 20:07
  Speaker 1: It is We are moving from world of assumed security into reality of verified resilience
• 20:16
  Speaker 0: from a peripheral tool into the autonomous operating layer of the enterprise.
• 20:20
  Speaker 1: We're seeing nations redefine sovereignty around data governance, and
• 20:24
  Speaker 0: we are witnessing quantum computing transition from theoretical physics in to deployable engineering.
• 20:30
  Speaker 1: It's massive massive shift
• 20:31
  Speaker 0: it really is.
• 20:33
  Speaker 0: And as you listener process these shifts I want you consider this final thought regarding architecture trust currently built
• 20:40
  Speaker 1: on
• 20:40
  Speaker 0: We are rushing to deploy agentic AI that autonomously manages our core enterprise systems.
• 20:46
  Speaker 1: Right?
• 20:47
  Speaker 0: Simultaneously, we are integrating quantum computers into our data centers to handle mathematical variables.
• 20:53
  Speaker 0: classical systems cannot process What happens in the near future when those autonomous AI agents are tasked with orchestrating and optimizing those quantum workflows.
• 21:03
  Speaker 0: Oh wow Who audits the AIs decision-making process When the underlying quanta math that relies on is quite literally beyond Classical human comprehension?
• 21:13
  Speaker 1: That's a chilling thought.
• 21:15
  Speaker 0: We are automating the future, but we may soon not even understand the math.
• 21:19
  Speaker 0: We're trusting something to chew on
• 21:22
  Speaker 1: definitely something a chew-on.
• 21:24
  Speaker 1: Well that is all the time we have for today.
• 21:26
  Speaker 1: if you enjoyed this episode new episodes drop every two weeks.
• 21:29
  Speaker 1: Also check out our other editions on cloud defense tech digital products and services artificial intelligence sustainability in green ICT Defense Tech and
• 21:39
  Speaker 0: HealthTech.
• 21:39
  Speaker 0: Thank you so much for joining us on this deep dive.
• 21:42
  Speaker 0: Stay curious, question your assumptions and we will
• 21:47
  Speaker 1: see.