Episodes
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Talking wireless at Cisco Live brings you face to face with what tomorrow’s connectivity looks like, and my recent chat with Matt McPherson, Enterprise Wireless CTO at Cisco, and Jerome Henry, standards guru and author, did precisely that. When two people this deep in the trenches start describing how our networks cope with thousands of devices at concerts, hospitals, or homes brimming with smart gadgets, it hits you how invisible yet vital great wireless is.
Matt walked me through how Cisco’s approach has evolved over the years, from the early days when the solution to every problem was to throw more bandwidth at it to now, where Wi-Fi 7 serves as a smarter, more reliable safety net. His stories about the transition from Wi-Fi 5 and 6 to what we have now made it clear that what happens above our heads is anything but simple, yet the result for us should feel seamless.
Jerome gave this technical backdrop a human touch by explaining the decisions that went into the new standard. His book, Wi-Fi 7 In Depth, pulls back the curtain on what drives choices in protocols and frequency use. We discussed why multilink operation, which people often hear about, is just one piece of a puzzle that addresses real-time performance and lower waiting times, even in areas where radio waves become unstable quickly.
One part that stood out was Matt describing what happens when a venue like Cisco Live fills up with people. Walls go up, exhibitors build stands, and thousands of bodies, each mostly water, flood the space. That messes with signals, but Wi-Fi 7’s new scheduling tools help keep things running smoothly despite the chaos.
We could not ignore the current buzzword either. AI is being folded into the wireless playbook more deeply than most realize. Cisco has been using AI quietly to manage channels and power levels for years, but now, these tools can learn and adjust without requiring an engineer to intervene. For businesses juggling a flood of devices and constant pressure to operate leanly, this is more than helpful; it is becoming a standard practice.
Then there is Cisco Spaces. Jerome and Matt explained how this feature helps companies understand how their offices are utilized. Knowing exactly where an access point is located is more than trivia; it grounds everything from location tracking to indoor maps. Add in new chips that can measure tiny distances with great precision, and you get navigation tools that know exactly where your phone is yet respect your privacy by keeping control of the user.
Throughout, one message was repeated: wireless is getting smarter, so humans do not need to babysit it. AI handles routine decisions. Security layers keep new traffic safe. Automation reduces the time spent hunting for issues or second-guessing configurations.
Whether it is robots moving in a warehouse, nurses paging each other without drops, or a teenager streaming games while someone else hops on a video call, the backbone is ready to keep up.
Before we wrapped up, I asked both guests what excites them most. Jerome wants the day to come when connectivity works without fuss or expert intervention. Matt added that Cisco’s goal is to ensure companies can support a growing array of devices without needing a vast team of specialists monitoring every light and graph.
If you want to see how this new chapter unfolds, watch the sessions from Cisco Live, pick up Wi-Fi 7 In Depth for a real peek behind the scenes, and maybe keep an eye out for Jerome’s next book. I have my copy ready for the flight home, and after this conversation, I know we will have plenty more to talk about next year.
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What does it take to future-proof the modern workplace? For Softcat, one of the UK’s top IT infrastructure providers, it started with reimagining their own headquarters in London.
In this episode, I speak with Thomas Rowley, Chief Technologist for Networking and Connectivity at Softcat, about the real-world challenges of managing a high-density office and how the company turned to Cisco to create a more intelligent, responsive environment.
As more employees returned to the office, Softcat began to notice a hidden problem. Rising CO2 levels were affecting the comfort and productivity of their teams. Rather than treat it as a facilities issue, they tackled it head-on with technology. Working with Cisco, they rolled out a combination of access points, collaboration tools, and Meraki sensors that transformed their workspace into a data-informed, adaptive environment.
But this story isn’t just about devices. It’s about inspiration too. A visit to Cisco’s Experience Center opened Softcat’s eyes to what was possible, not just in terms of hardware, but in how unified tech strategies can drive better decisions. That visit ultimately sparked the idea for their own internal innovation space, showcasing how operational excellence can become a cultural value, not just a technical outcome.
Thomas also shares insight into the evolving role of connectivity in hybrid work, how Softcat supports over 1,500 salespeople with scalable IT solutions, and why the partnership with Cisco continues to shape their global ambitions. From sustainability to scalability, this episode offers a practical look at how two leading tech firms collaborate to solve problems that many businesses are only just beginning to understand.
If your office still treats infrastructure as an afterthought, this conversation might change your mind. Are your workplace systems ready to handle both people and performance?
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Missing episodes?
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As AI continues to dominate the conversation at Cisco Live, the infrastructure needed to support this transformation often gets overshadowed. That’s why I was eager to visit the Panduit booth and explore the physical backbone enabling the shift from cloud to on-prem. I sat down with several Panduit experts including Renee Lang, Mason Khan, Vince, and Mike to understand how their high-density power, fiber, and sustainability solutions are equipping organizations for the AI-powered future.
This episode goes beyond surface-level hype to focus on real-world preparation. Renee opened our discussion by highlighting the shift in customer questions this year. AI may be driving the vision, but enterprises are still asking how to take that first step. From gradual upgrades to strategic power planning, the conversation is about progress, not perfection. We looked at how Panduit is helping customers implement solutions today that will still support their goals tomorrow.
Mason shared how Panduit’s high-density power units are evolving to meet the surging demands of AI servers, with advanced features like cybersecurity compliance and automatic orientation. Vince then walked me through the game-changing concept of fault-managed power. With the ability to deliver significant power safely over long distances using standard pathways, this technology could reshape how we power devices in smart campuses, data centers, and industrial spaces.
Finally, Mike brought it all together by showing how fiber infrastructure ties these innovations into a cohesive strategy. His insights into structured cabling and reflective polishing offered practical takeaways for engineers trying to stay ahead of the AI curve.
This episode captures the customer conversations, unexpected use cases, and future-facing solutions that make events like Cisco Live so valuable. What steps are you taking now to prepare your infrastructure for the next wave of transformation?
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Walking the show floor at Cisco Live, it’s impossible to ignore the rising volume of conversations around network resilience. But what does resilience actually look like in today’s distributed, AI-driven enterprise environment? To explore this, I sat down with Patrick Quirk, President and GM of Opengear, right at their booth near the center of the event.
In our conversation, Patrick explained how Opengear has become a platform focused on proactive infrastructure management. As AI workloads expand into both data centers and edge environments, network reliability is now a critical part of business operations. Patrick shared how their approach with the phrase "First Day. Worst Day. Every Day." helps ensure continuity even in the most challenging conditions.
What stood out during this discussion was Opengear’s impact in practical situations. From supporting major retailers during service disruptions to helping organizations recover quickly from incidents similar to the CrowdStrike event, they deliver more than basic monitoring. We also discussed Lighthouse, their fleet management platform, and how it enables zero-touch provisioning at scale. This concept clearly resonated with many attendees at the event.
Patrick also talked about findings from a Cisco report that estimated global losses from network outages reached 160 billion dollars last year. He explained how attitudes are shifting at the leadership level. Network resilience is no longer treated as a secondary concern. Risk mitigation, compliance, and consistent service delivery are now at the core of business conversations.
Whether you're managing thousands of switches or preparing your infrastructure for the growing demands of AI, this episode provides insights that apply directly to today's connected world. How are you preparing your network to stay up and running when it matters most?
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Earlier this year, I spoke with Dennis Woodside, CEO of Freshworks, about why speed and ROI matter more than ever in AI adoption. Today, we continue that conversation—this time from the IT frontline.
In this episode, I’m joined by Ashwin Ballal, CIO of Freshworks and a 30-year tech industry veteran with a track record of driving transformation across global enterprises. From his days leading intelligence and data strategy at KLA to his role as CIO at Medallia, Ashwin knows what it takes to modernize without overcomplicating.
We explore:
The real impact AI is having inside IT teams and where the hype still outweighs reality
Why simplifying IT environments is becoming a strategic priority for CIOs
How AI is being used to augment, not replace, human capability
The pressure to deliver measurable outcomes with fewer resources—and what leaders are doing about it
Ashwin also shares a candid view on upskilling, internal adoption, and how CIOs can keep innovation moving forward while managing complexity and cost.
This conversation is released in time for Freshworks’ ‘Refresh’ event and ties into broader industry trends around operational efficiency, human-centered AI, and IT’s changing role in business strategy.
If you're a CIO, tech leader, or just trying to cut through the noise around AI in the enterprise, this one’s worth your time.
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Customer service has undergone significant changes in just a few years. We’ve moved from clunky chatbots with limited menus to sophisticated AI agents that understand, respond, and solve problems in real-time. But we’re now standing on the edge of something even bigger.
In today’s episode, I spoke with Matthias Goehler, EMEA CTO at Zendesk, about what the next wave of AI-powered customer experience looks like and how businesses can prepare for it.
According to Matthias, up to 80 percent of customer interactions can now be automated with modern AI tools. This is not the frustrating automation many remember. We’re talking about orchestrated systems where multiple AI agents work together.
One agent might interpret a customer’s request, another retrieves information, while others take care of backend integrations. The goal is not to deflect but to resolve quickly, clearly, and with the consistency that customers expect.
This shift is also reshaping internal support. Zendesk’s Employee Experience Suite brings the same AI capabilities used for customer service into HR and IT workflows. Employees now have access to fast, intelligent support that mirrors the consumer-grade service they’re used to in their personal lives.
Crucially, we explored what this means in a European context. With strict privacy regulations, Zendesk has developed tools that enable businesses to see precisely how AI decisions are made. Matthias explained how AI reasoning controls ensure transparency, maintain trust, and allow for complete visibility into what the AI is doing and why.
We also looked ahead. What happens when AI agents not only support us but begin to represent us? What if a customer reaches out, not through a human, but through their virtual assistant? That future may not be far off.
Is your organization ready for this shift in how service is delivered and experienced?
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Most of the noise around AI focuses on developers, creatives, and knowledge workers. But what about everyone else? The nurses, store associates, logistics teams, and warehouse staff make up nearly 80 percent of the global workforce.
In today's conversation, I sat down with Tom Bianculli, Chief Technology Officer at Zebra Technologies, to talk about AI that meets people where they work. Not in a document editor or code repository but on the shop floor, in hospital corridors, and inside fulfillment centers.
Tom shared how Zebra's strategy, built on research, acquisitions, and strategic partnerships, is helping to bring practical, purpose-built AI to frontline industries. From generative assistants to machine vision systems, Zebra is developing tools that support real-world tasks without replacing the people doing them.
Whether it's improving shelf visibility in retail, enabling rapid quality control in manufacturing, or automating picking assistance through wearable cameras, the focus is on helping workers complete their tasks more efficiently, accurately, and with greater satisfaction.
One of the standout topics was Zebra Companion, the company's AI-powered assistant for frontline teams. With four dedicated agents covering knowledge, sales, merchandising, and device support, it is a tool designed for immediacy, speed, and seamless integration with the daily workflow.
Tom explained how Zebra is utilizing feedback from pilot programs to enhance the experience and why a human-centered approach to automation is crucial for reducing attrition and boosting morale.
We also examined how AI and machine vision are driving measurable improvements in logistics and manufacturing.Recent acquisitions have strengthened Zebra's capabilities in 3D vision and high-speed industrial scanning. Looking ahead, we discussed omniscient store concepts, collaborative robotics, and the increasing value of real-time operational data.
While much of the AI conversation stays focused on the office, Zebra is showing what happens when intelligence meets physical work. This episode is a reminder that AI is not just about prompts and pixels. It is also about boxes, shelves, scanners, and real people doing real jobs.
How is your business planning to bring AI to the teams that keep everything moving?
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The last time Philipp Pointner joined me on the podcast, AI was just a whisper on the horizon. We discussed the foundational role of digital identity in establishing trust between individuals and platforms. But fast forward to 2025, and the conversation has shifted dramatically. We're no longer just discussing verification for compliance. We're reckoning with synthetic identities, deepfake armies, and the growing push for reusable digital credentials.
In today's episode, Philipp returns to unpack how much has changed since 2022. As Chief of Digital Identity at Jumio, he's right at the intersection of where AI meets trust. Fraud has evolved from lone hackers into coordinated operations that run on an industrial scale. ID fraud is no longer a matter of bad actors copying documents. Its entire networks generate tens of thousands of AI-manipulated identities with the click of a button.
So, how are businesses adapting? Philipp breaks down the layered approach required for modern identity verification, touching on risk signals across various channels, including documents, devices, faces, emails, and more. He also points to an encouraging trend: cross-industry collaboration. Companies, regulators, and tech vendors are no longer working in silos. They are coordinating efforts to counter this new breed of threats.
But this isn't just about fraud. We explore how identity solutions are now a key part of improving onboarding, boosting customer satisfaction, and even reducing operational costs. With significant regulatory shifts underway in Europe, the UK, and the US, from mobile driver's licenses to national digital identity schemes, businesses can't afford to fall behind.
Philipp also tackles the AI paradox. The same technology that enables deepfakes is now critical for combating them. Jumio is using AI to detect fakes, verify liveness, and stay one step ahead of fraudsters. Biometrics, meanwhile, are becoming mainstream, not just in airports but as part of everyday onboarding and authentication.
If you're thinking about what identity means for your business in 2025 and beyond, this episode offers a practical, timely look at what's here now and what's coming next. Whether you care about compliance, conversion rates, or protecting your users, it all starts with knowing who you're dealing with. And increasingly, that requires more than just asking for a photo ID.
What role will your organization play in the future of digital trust?
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Enterprise security has always been a moving target, but with the surge of AI adoption, it's entering a whole new era of complexity. In this episode of Tech Talks Daily, I speak with Bradon Rogers, Chief Customer Officer at Island, who brings over 25 years of cybersecurity experience to a conversation that cuts through the noise on AI, data protection, and the evolving role of the browser.
Bradon warns that AI isn't just creating new opportunities. It's also generating what he calls a derivative data nightmare. Large language models are now producing massive volumes of unstructured outputs that differ in formatting but carry the same meaning. These subtle variations are already overwhelming traditional data loss prevention tools, and the challenge is only growing.
Yet Bradon doesn't stop at the warning. He believes AI might also be the solution.
We discuss why businesses need to move beyond old data-centric approaches and start designing application-centric frameworks that mirror how people work. In a world where banning AI is no longer realistic, organizations need practical ways to guide users toward safe, sanctioned tools. Bradon explains how enterprise browsers can serve as that safe space, combining usability with security and offering a familiar interface that doesn't get in the way of productivity.
He also addresses the new breed of shadow IT emerging from embedded AI features in everyday apps, as well as the importance of understanding how third-party providers utilize your data behind the scenes. For anyone still thinking of AI adoption as a checkbox exercise, Bradon makes it clear this is a complex governance challenge that demands a new mindset.
From call center automation to real-time coaching workflows, the conversation explores how AI can enhance precision, minimize false positives, and support teams without overwhelming them. We wrap up with a powerful music recommendation that perfectly reflects the winding road many tech leaders now find themselves navigating.
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What happens when machine identities outnumber human ones by a hundred to one?
That’s not a future scenario. It’s already happening. In this episode, I’m joined by David Higgins, Senior Director at CyberArk, for a deep conversation about identity security in an environment increasingly shaped by AI agents, autonomous systems, and blurred digital boundaries.
David brings clarity to the growing risks tied to machine credentials and explains why so many organisations are still struggling with password reuse, unsecured personal devices, and outdated security awareness efforts. We explore the rise of deepfake scams, AI-powered impersonation, and the worrying trend of attackers bypassing savvy users by targeting helpdesks and support channels instead.
What stood out is how David reframes the conversation around human behaviour and responsibility. Rather than blaming users as the weakest link, he argues that identity security needs to be rooted in context, culture, and proactive design. From adaptive authentication to just-in-time access models, there are smarter ways forward that balance security and user experience without turning employees into roadblocks.
And we go even further. We talk about the next phase of risk, where AI agents aren't just tools but semi-autonomous actors capable of learning and adapting. What happens when one of these agents goes off-script? What safeguards are in place if they begin to behave in ways their developers didn’t anticipate?
This episode is not about hype. It’s a practical look at what identity-first security really means in a machine-dominated environment.
So let’s hear it: do you think your business is ready for this shift? Or are we still relying too much on assumptions that no longer hold up?
Let me know what you think after listening.
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In today’s episode, I sit down with John Adam, Chief Revenue Officer at Aimprosoft, for a direct conversation on what it really takes to implement AI inside a business.
With AI hype dominating headlines, many companies are either rushing in without a clear plan or standing still out of fear of making the wrong move. John brings a grounded perspective, shaped by years of helping mid-sized firms and enterprise teams move beyond buzzwords and into real, measurable outcomes.
We explore how Aimprosoft guides clients to focus on AI projects that are low in complexity but high in impact. These early wins are often the key to building internal buy-in and unlocking wider adoption across departments. John shares why modular implementation strategies are becoming more popular, especially for companies that want to avoid getting locked into any one vendor or platform.
Our conversation goes beyond the technical. We discuss where AI tools actually deliver value and where they fall short. John highlights that AI performs well in rules-based, repetitive environments but still struggles with nuance, edge cases, and anything that requires emotional intelligence. He also outlines the importance of ethics, especially in regulated industries, and offers a pragmatic approach to mitigating bias, protecting data, and maintaining brand voice.
With examples drawn from Aimprosoft’s client work, including success stories involving scalable platform rebuilds and cost-saving test automation, this episode offers a clear-eyed view of how AI is being used today. John emphasizes that the right starting point is a good data strategy, supported by simple pilot projects that prove value early.
If you’re a leader trying to separate substance from noise in AI conversations, this episode offers an honest look at what works, what doesn’t, and how to move forward without overcommitting. What’s the smartest first step your team can take with AI right now? Let’s find out.
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In this episode of Tech Talks Daily, I sat down with Ashley Stevenson, VP of Product and Solution Marketing at DigiCert, to explore the shifting landscape of digital trust. We are living in a time where certificate-related outages still disrupt critical systems, identity management is becoming more complex, and the arrival of quantum computing is no longer a distant concern. Ashley brought clarity to these issues with a practical look at how DigiCert is helping organizations manage trust at scale.
Our conversation began with the foundational role DNS and PKI play in digital infrastructure. While most users never think about them, every secure connection begins with DNS resolving a domain and PKI establishing trust. DigiCert has combined these layers in a single platform, DigiCert1, designed to automate and simplify how trust is managed across networks, users, and connected devices.
We explored the increasing importance of certificate lifecycle management. With certificate lifespans moving from 398 days to just 47 by 2029, and domain validations required every 10 days, automation is no longer a convenience. It is a necessity. DigiCert1 addresses this through centralized inventory, policy enforcement, proactive notifications, and full automation from issuance to installation.
Ashley also shared insights on the convergence of PKI and identity and access management. From IoT to human users, digital identities are multiplying and evolving. PKI is playing a larger role in enabling passwordless authentication and supporting verifiable credentials, especially as organizations move toward privacy-enhancing and standards-based models.
Looking ahead, we discussed quantum readiness and crypto agility. DigiCert is already helping customers evaluate which systems are most vulnerable and preparing them to adopt quantum-safe algorithms when needed. Whether the concern is policy change, an unexpected breach, or emerging tech, the ability to adapt quickly is key.
How do you build a strategy for trust that adapts to this pace of change? This episode offers an inside look at how DigiCert is answering that question.
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When I sat down with Leon Butler, the newly appointed CEO of IBM UK and Ireland, it felt like a timely check-in with one of the most influential forces in enterprise technology. Having taken on the role in January 2025 after leading IBM’s global data and AI division, Leon brings both technical depth and a clear strategic lens to what lies ahead. Our conversation couldn’t have been better timed, following the IBM Think conference and the company’s latest wave of announcements around agentic AI, enterprise models, and quantum computing.
Leon offered an inside look at how IBM is responding to real-world business challenges with purpose-built, domain-specific AI tools. While the industry often gravitates toward large, generic models, IBM has chosen a different route, focusing on smaller, more efficient models that deliver measurable business outcomes. Their Granite model family and WatsonX orchestrate platform are helping companies streamline complex workflows, boost productivity, and integrate AI into operations without adding more layers of complexity.
We also explored how AI agents are evolving from basic chat interfaces into tools that can coordinate multi-step processes across HR, procurement, and customer service. Leon shared concrete examples from inside IBM, including how their own HR systems are now 94 percent automated through AI agents. The company has also achieved over $2 billion in productivity gains through AI and automation internally, a figure that sets a strong precedent for its clients.
Our conversation also touched on IBM’s quantum roadmap, with expectations that their systems will surpass today’s most powerful supercomputers by 2033 and reach error-free capability by 2029. Alongside this, IBM is pushing forward with a global commitment to close the AI skills gap, aiming to equip 2 million people with AI skills by 2026.
How does a company of IBM’s scale remain agile while reshaping industries with AI and quantum computing? This conversation offers a glimpse into the strategy, leadership, and technology shaping that future.
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When I last spoke with Tony Jamous in November 2020, we were navigating the early days of a remote-first world. The shift was sudden and widespread, but what followed was even more transformative.
In this episode of Tech Talks Daily, I reconnect with Tony to explore how the world of work has changed and how Oyster has grown from an ambitious startup into a B Corp-certified unicorn focused on enabling global employment at scale.
Tony is the CEO and founder of Oyster, a company built on the belief that where you live should never limit where you work. We discussed the journey from pandemic-driven remote work to today’s distributed models, the growing need for location-independent hiring, and how AI is now being embedded into every layer of global workforce management. Oyster is helping businesses hire across 180 countries with just a few clicks, solving compliance, payroll, and benefits challenges without the traditional roadblocks.
During our conversation, Tony broke down what it means to build a mission-driven company and why measuring impact matters. More than 40 percent of employees hired through Oyster now come from emerging markets. That shift is not just a statistic. It reflects real people gaining access to economic opportunities they were previously excluded from. Stories like Christina in the Philippines, who now works from home and spends more time with her children, highlight the human impact of Oyster’s platform.
We also talked about Oyster’s recent Series D funding round and how the company is shifting from high-growth to sustainable profitability. AI is a big part of that evolution. From internal operations to customer support, automation is being used to reduce friction and let people focus on work that matters. For Tony, leadership now means focusing on vision and values while letting AI handle repetitive tasks.
What does the future look like when the world becomes one talent pool? This episode offers a grounded, forward-looking take on what happens when mission, technology, and global opportunity intersect.
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What if the biggest delay in healthcare wasn’t a lack of doctors but a broken phone system? In today’s episode, I catch up with Zain Qayyum, the founder of Medsender, who left his path to medical school after witnessing firsthand how slow and outdated healthcare administration really is. His response wasn’t to complain. It was to build a solution.
Zain shares how Medsender uses voice AI, not to replace human interaction, but to support it. The company’s AI agent, Myra, now handles everything from referrals and scheduling to patient queries around the clock. The goal is simple: let staff focus on care while AI deals with the paperwork and the phone queues.
We talk about the real challenges of designing AI for healthcare, where privacy is non-negotiable and errors carry serious consequences. Zain explains how Myra is built from the ground up to work with fragmented healthcare systems while strictly respecting HIPAA compliance. Every integration is intentional. Every safeguard is baked in.
He also offers a look at the measurable impact this technology is already having. Referral times have dropped from days to seconds. Scheduling rates have improved. Phone calls are answered without fail. And patients are no longer left on hold or in limbo.
More importantly, Zain paints a compelling vision of what healthcare could look like in five years. Imagine AI agents not just answering patient calls but also speaking to other systems on their behalf. Imagine a future where getting care feels as seamless as booking a taxi or ordering dinner.
Is this the future patients have been waiting for? Or does the human side of care still risk being lost?
Listen in and tell us what you think. Can AI help healthcare find its voice again?
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What happens when customer journeys fall apart behind the scenes, even as AI promises to tie them together? That’s the question at the heart of this conversation with Jochem van der Veer, CEO and Co-Founder of TheyDo. Fresh off a $30 million Series B round, Jochem joins me to unpack what’s really happening inside enterprise organisations that are trying to personalise experiences at scale.
He’s not speaking in theory. TheyDo is already helping companies like Ford, Atlassian, Cisco, and Home Depot shift how they approach customer experience. But instead of chasing the latest automation trend, Jochem urges something far more grounded: a return to clarity. His team’s journey-centric model is designed to bring strategic alignment across departments that are often flying blind, each chasing their own targets without shared context.
We talk about the growing gap between data collection and meaningful insight. While leaders are promised efficiency from AI, many find themselves with more dashboards and fewer answers. In fact, 28 percent say AI is actually worsening the problem by adding to the noise. That’s the paradox.
Jochem shares how journey management can break through these barriers and get teams back on track by focusing on what customers are trying to achieve rather than just what departments are measuring.
You’ll hear why so many personalisation efforts are falling flat, despite all the data, and how a few structural shifts could change that. Jochem also reflects on what the hidden costs of a disconnected experience look like and how businesses can spot trouble before it becomes visible in churn or lost revenue.
This episode is for anyone frustrated by the growing complexity of customer experience. If you’re stuck between data overload and underwhelming results, you’ll find plenty of perspective here. And if you’ve ever wondered whether AI is helping or just making your job harder, this conversation might help you reframe the question.
To learn more about TheyDo, visit theydo.com or connect with Jochem on LinkedIn.
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Cloud cost is no longer just a finance team issue. It is now a business-wide concern, and treating it as a budgeting exercise is holding companies back. In this episode, I’m joined by John Purcell, Chief Product Officer at DoiT, to unpack how organisations can rethink cloud financial management through a risk-first lens.
With the FinOps X conference just around the corner, John also gives us a preview of the themes likely to dominate the agenda this year, from Kubernetes complexity to the role of AI in governance.
DoiT is not just another optimisation tool. Their Cloud Intelligence platform helps companies align performance, reliability, and security with financial strategy. John explains how cost spikes are not just common, they are almost guaranteed. He shares a real example of a ninety-thousand dollar AWS bill caused by a minor configuration error and what could have prevented it.
We talk about the shift from reactive cost reviews to proactive financial defence. Think of it like cybersecurity but applied to your cloud budget. That mindset change is something FinOps teams need to embrace quickly. It is not just about watching what is spent, but understanding intent and outcomes across the business.
John also introduces the concept of the FinOps fabric, a combination of technology, processes, and culture that helps teams align on goals and mitigate risks. And while AI and automation are transforming how teams interact with cloud platforms, they are still responsible for driving most cloud spend today. We dig into what needs to change before AI can truly become an optimisation asset rather than another cost driver.
Whether you're gearing up for FinOps X or trying to get a better grip on cloud cost management, this episode offers practical insight into the tools, strategies, and cultural shifts that can help your team stay ahead.
To learn more, visit doit.com or connect with the team at booth G10 if you are attending the FinOps X event in San Diego.
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What does it mean to own something in a world where everything is digital? In this episode of Tech Talks Daily, I sit down with Ian Rogers, Chief Experience Officer at Ledger, to unpack the growing importance of digital ownership in the age of AI, blockchains, and digital identity.
With more than 6 million devices sold and 20 percent of the world’s crypto secured, Ledger has become a trusted name in both consumer and enterprise digital asset security. But this conversation goes far beyond crypto wallets. Ian explains why self-custody matters, how Ledger devices actually work, and what separates them from traditional custodial models.
"Giving people the ability to securely own their own digital private property is fundamentally what we're all about," Ian says, breaking down a complex topic in a way that's both clear and urgent.
We also talk about the convergence of AI and blockchain, the risks of relying on cloud-based security, and why digital proof and provenance are becoming essential in our online lives.
Whether you're just starting out or already immersed in Web3, this is a conversation that connects the dots between identity, security, and personal empowerment. What does responsible digital freedom look like? And are you ready to take ownership?
I'd love to hear what you think. Get in touch and let me know what digital ownership means to you today.
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In today’s episode, I sit down with Ryan Kuhlenbeck, CEO and co-founder of Pico MES, to explore a persistent and costly challenge in manufacturing.
While many OEMs have embraced cutting-edge technology, their suppliers often remain disconnected from the digital conversation. This gap isn’t just inconvenient, it creates delays, quality issues, and serious communication problems on the factory floor. Ryan brings two decades of experience across GM, Tesla, and a range of hands-on manufacturing roles, and shares how that journey inspired the launch of Pico MES.
During our conversation, Ryan walks through how Pico MES was born out of necessity rather than opportunity. After years of building and managing software systems within factories, he became frustrated by the lack of flexible, scalable tools for smaller suppliers. His vision? A modern MES system that can be deployed in weeks, not years, and one that supports rather than hinders the work being done at the operator level.
We unpack how disconnected systems across the supply chain often lead to errors and miscommunication. Ryan explains why shortages are often just the symptom, not the real issue. The real problem is the inability to access or share the right information in time. With a fully connected infrastructure, businesses can address problems long before they snowball into production halts.
Ryan also shares examples from the factory floor, like how a hip-activated switch became a surprise productivity win and how smaller suppliers often drive some of the smartest innovations. For OEMs, there are valuable lessons to learn by observing these smaller, more agile teams.
Whether you're part of a multinational manufacturing company or a small factory operation, this episode provides a grounded, real-world look at what it takes to modernize without breaking what already works. How can we build a smarter, more connected supply chain? Let’s find out.
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In this episode of Tech Talks Daily, I speak with Samit D'Cunha, a legal advisor at the International Committee of the Red Cross (ICRC), about the innovative Digital Emblem Project.
For over 160 years, the Red Cross emblem has symbolized protection in conflict zones, designating medical and humanitarian organizations as safe from attack. Now, as warfare increasingly extends into cyberspace, the ICRC is developing a digital version of this emblem to provide the same legal protections for online infrastructure.
We examine the increasing frequency of cyberattacks on hospitals and aid organizations during armed conflict, and why the Digital Emblem is more crucial now than ever. Samit explains the technical side of the project, including the use of cryptographic certificates and DNS systems to ensure global, decentralized protection. He also discusses the importance of legal recognition and trust-building across governments, tech companies, and humanitarian sectors.
As the digital battleground expands, this emblem could play a crucial role in safeguarding lives and ensuring that humanitarian operations continue uninterrupted. We also explore the challenges of implementing this system without increasing organizations' vulnerability, and why support from over 100 tech companies and states is crucial for its success.
If you’re interested in the intersection of cybersecurity, law, and humanitarian efforts, this is a conversation you won’t want to miss.
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