Tech Talks Daily

When we think about innovation in technology, power grids rarely enter the spotlight. Yet, they are the foundation for everything from artificial intelligence to electric vehicles and data centers.

In this episode, I spoke with Adrian Guggisberg, President of the Electrification Distribution Solutions Division at ABB, to unpack the evolving role of electrical power distribution in a world shifting rapidly toward digital infrastructure and clean energy.

Adrian joined me from Zurich to share how ABB is helping grid operators navigate an increasingly complex landscape. With rising pressure from extreme weather, surging energy demand, and growing decentralization of power sources, the traditional grid model is being challenged on multiple fronts. We explored recent high-profile outages like the Heathrow disruption and the cascading blackouts in Spain and Portugal, and what these incidents reveal about systemic vulnerabilities.

What stood out was Adrian's clear message that resilience is no longer optional. He walked me through how switchgear plays a vital role in controlling flow, isolating faults, and restoring power with precision. Rather than waiting for outages to happen, ABB is championing a smarter, decentralized approach that supports microgrids and localized decision-making. The transition to intelligent infrastructure requires investment, digital tools, and collaboration across public and private sectors.

We also discussed the cultural and political shift required to truly modernize the grid. Adrian pointed out that while grid operators understand the urgency, public awareness and policymaker support will be key to driving progress. His optimism came through clearly, especially when he talked about ABB's purpose in powering a more sustainable future.

If energy is the backbone of society, then conversations like this are the starting point for building something stronger. What would a smarter grid mean for the communities and industries you serve?

In a digital-first world where cybersecurity often dominates headlines, the conversation around physical security can sometimes feel like an afterthought. But what if technology could bring a new level of intelligence, proactivity, and efficiency to protecting real-world environments? In this episode, I sat down with Ryan Porter, co-founder and CEO of LVT, to learn how his team is reshaping physical security through innovation rooted in both technology and field experience.

What began in Ryan's garage as a way to monitor construction projects through live video has evolved into a powerful enterprise platform used by 30 of the Fortune 50. LVT provides mobile security units equipped with cameras, lights, solar power, and edge-based AI capabilities that don't just observe but actively deter criminal behavior. From parking lots to retail environments, and even the Super Bowl, LVT's presence is being felt wherever safety is at risk.

Our conversation uncovered how LVT's approach differs from traditional reactive security models. Rather than reviewing footage after incidents happen, LVT creates controlled environments designed to prevent events before they occur. This shift toward deterrence, combined with a visible and multi-sensory presence, is producing measurable results. In cities like Paducah and Opelika, LVT's Access Task Force program contributed to a ten percent reduction in citywide crime.

We also explored how the company overcomes the challenges of deploying AI in environments with limited power and bandwidth. By running intelligent models on edge devices, LVT delivers real-time insights in places that lack the infrastructure for heavy cloud computing. The result is a system that delivers value instantly, improves business intelligence, and enhances community safety.

This is not just about technology for its own sake. It is about building systems that serve people, keep environments secure, and foster collaboration between businesses, law enforcement, and local communities.

How are you using technology to create safer, smarter spaces in the real world?

In today's episode of Tech Talks Daily, I connected with Brittany Christenson, CEO of AidKit, to explore how cutting-edge technology is being used not to disrupt markets or chase margins, but to deliver real, measurable social impact. AidKit is a public benefit corporation building infrastructure that helps vulnerable communities access aid quickly, securely, and with dignity.

While many tech conversations orbit around scale and efficiency, Brittany brings a different kind of energy, one grounded in values, user empathy, and purpose-built innovation. She shared how AidKit's journey began as a nonprofit initiative during the pandemic, evolved into a for-profit startup to attract engineering talent, and most recently achieved B Corp certification, reinforcing its long-term commitment to balancing people, planet, and profit.

We discussed what dignity and equity look like in real-world software experiences, and how user-centric design can transform burdensome forms and gatekeeping processes into streamlined, accessible interfaces that actually work for people in need. Aidkit doesn't stop at technology. Their model also includes multilingual support, advisory councils made up of program beneficiaries, and robust fraud prevention tools that protect both funds and privacy.

One of the standout takeaways was how Brittany views trust and transparency as core features, not afterthoughts. Governments rely on Aidkit to deliver programs with high stakes and public scrutiny, and that trust is earned through a combination of technical competence, clear communication, and reliable systems. AidKit is already supporting over 200 agencies and nonprofits, has processed more than half a million applications, and recently surpassed 330 million dollars in aid disbursements, including nine million dollars in a single week.

This conversation is not just about scaling a social impact startup. It is about leading with conviction, refusing to compromise mission for growth, and using the best of what technology offers to serve communities with care.

How can your tech strategy support social outcomes without losing sight of the people it's built for?

When we talk about the future of enterprise software, AI is front and center. But behind the buzzwords, real transformation is happening in how businesses plan, execute, and deliver professional services. In this episode, I sat down with Raju Malhotra, Chief Product and Technology Officer at Certinia, to explore how AI is shifting from theory to practice in high-scale environments.

Certinia, a native ISV on Salesforce, is helping global tech and service firms like Cisco, Siemens, and PwC automate their services operations. With over two million users and six million active projects, the platform isn't just adding AI for the sake of it. It's embedding it directly into workflows to solve tangible business challenges. Raju shares a clear framework for understanding how different types of AI are being implemented. Predictive AI is already deeply integrated into enterprise processes. Generative AI is gaining traction for simplifying content and communication. Agentic AI, the most recent frontier, enables digital agents to complete complex tasks independently within enterprise guardrails.

What stood out in our conversation was the emphasis on outcomes over features. Raju makes a compelling case for starting every technology decision by understanding the customer's goals. Certinia's approach avoids chasing trends for the sake of headlines. Instead, the focus is on delivering results like improved margins, higher resource utilization, and smarter project delivery.

We also discussed Certinia's early adoption of Salesforce's Agent Force and how their team works closely with Salesforce engineering to align on AI strategy. Rebranding their ERP Cloud to Financial Management Cloud was another move that reflects their sharper focus on services-centric financials, rather than trying to be everything to everyone.

There's a clear message in this conversation. Innovation in AI must be matched with investment in performance, latency, scale, and user experience. For any tech leader navigating the AI landscape, Raju's insights provide a grounded, real-world guide.

How are you aligning your AI investments with measurable business outcomes?

In this episode of Tech Talks Daily, I had the opportunity to sit down with Amanda Hamilton, patron and director at the National Association of Licensed Paralegals (NALP). While many of our discussions often focus on cutting-edge technology and digital transformation, today's conversation tackled a very different kind of disruption, one happening quietly in the legal industry.

The legal landscape in the UK has shifted dramatically over the last decade, particularly following the 2013 legal aid cuts. This policy change left many without affordable access to legal representation. Amanda walks us through how the paralegal profession stepped in to fill that gap, providing legal support at lower costs while still maintaining high standards of professionalism and care. What stood out was how NALP functions as a voluntary regulatory body, offering credibility and structure to a sector that otherwise lacks statutory regulation.

We also explore how AI and digital tools are reshaping legal work. Amanda offers a grounded view on where technology helps and where it still cannot replace human expertise. From virtual hearings during the pandemic to the efficiency gains through email and digital collaboration, the legal profession is gradually adapting. Amanda stresses the importance of using technology thoughtfully, especially in situations where personal judgment and contextual understanding are critical.

Another important theme was transparency and trust. The National Paralegal Register is a public tool that allows individuals and employers to verify the qualifications and membership levels of licensed paralegals. Amanda believes this kind of openness is vital to building awareness and confidence in the services paralegals can offer.

So, whether you're exploring legal tech, building new professional services, or facing legal challenges yourself, this conversation sheds light on the growing role of paralegals in today's evolving legal system.

How is your industry approaching transparency, training, and the impact of emerging technologies?

What if the average UK tech worker could reclaim almost an entire workday each week without extra hours simply by harnessing AI tools like ChatGPT and robotic process automation more effectively?

In this episode, I sit down with Oliver Latham from Pearson's Enterprise Learning and Skills division, to unpack research revealing how intelligent automation frees tech professionals from repetitive tasks and opens space for creative strategic collaboration.

Instead of fuelling fears of mass job losses, the data reveals a more optimistic human‑centred view of how AI will reshape roles, reshuffling responsibilities rather than replacing people.

Oliver and I discuss which tasks are most ripe for automation, for example code refactoring to backup procedures, and how that shift could alleviate the UK's tech skills shortage by letting workers focus on high impact projects. We weigh potential challenges too and note that organisations will need to rethink job design, invest in upskilling power skills such as communication and learning agility and build a culture of continuous development.

As we look ahead we explore how large language models and robotic process automation differ in their impact across roles, why learning cultures must evolve to deliver micro learning at the point of need alongside robust credentials and how teams can reorganise around a new division of labour that includes both human and AI agents. Oliver offers practical advice for tech leaders wondering where to start and how to maintain agility as change accelerates.

If you've ever felt overwhelmed by AI hype or are curious how automation could give you back precious hours each week, this conversation offers fresh perspectives on AI's real value in tech.

How would you redesign your job if you had an extra day each week, what would you stop doing and what would you start?

What if the biggest leap forward for small businesses wasn't about selling more, but reclaiming time?

In this episode of Tech Talks Daily, I sit down with John Waldmann, CEO and co-founder of Homebase, to unpack how AI isn't just a Silicon Valley toy for large enterprises but a lifeline for the millions of small businesses keeping local economies afloat. John explains how Homebase's newly launched AI Assistants are transforming everyday operations, automating hiring, scheduling, and admin tasks that once drained hours from already stretched owners and managers.

But this is more than a tech play. John shares why he's spent his career championing small business owners, and how Homebase is designed with them, not just for them. We explore how generative AI and real-time personalization are lowering the barrier of entry to entrepreneurship, and why small businesses might actually be outpacing the big players in adopting AI with creativity and speed.

From the realities of running a restaurant to designing software that respects the nuances of hourly work, John's perspective offers a refreshing reminder that the goal of AI isn't to replace people. It is to give them more space to do what makes their business special.

Could AI finally tilt the playing field in favour of small businesses? And are we doing enough to ensure that human-first values stay at the centre of this technological shift?

Listen in, then let us know how you see AI transforming the small business landscape in your world.

What if the key to global access to high-quality education isn't policy reform or private investment, but open source software? In this episode of Tech Talks Daily, I sit down with Scott Anderberg, CEO of Moodle, to explore how one of the world's most widely used learning platforms is quietly transforming education in ways that extend far beyond the classroom.

Scott's journey is anything but linear. From helpdesk support in Denver to leading online education efforts across the US, UK, and Australia, his international experience has shaped a clear mission: to make education more accessible, more inclusive, and more creative. His role at Moodle aligns perfectly with that goal.

We discuss what open source really means in the context of education and why it continues to be misunderstood. Scott explains how Moodle's global community of developers and educators contributes everything from security-tested code to deeply localised customisations that enable learning to happen anywhere, even in places without electricity. Projects like MoodleBox and the Inventorium for at-risk students in Australia reveal the power of local innovation when built on flexible, open platforms.

Scott also outlines Moodle's measured approach to AI, focusing on what delivers actual value. Rather than embedding generative tools for novelty, they've released an AI subsystem that allows the community to experiment and share what works. This model not only encourages innovation but also respects the diverse regulatory, cultural, and economic environments their users operate within.

Throughout the conversation, we explore the myths that often discourage adoption of open source solutions. Security, support, and scalability are frequently raised, but Scott shows how Moodle's global ecosystem consistently challenges those assumptions. Innovation doesn't have to be proprietary or top-down. In fact, when communities co-create solutions, the results are often more resilient and more relevant.

We close with a powerful reflection on the importance of diversity in both tech and education. While some organisations are becoming hesitant to talk about inclusion, Scott argues that now is the time to stand firm. Education is about connection, and you cannot truly connect people if only a narrow group is included in the conversation. Open platforms like Moodle make it possible to include everyone, not just in theory but in practice.

So can open source help us rebuild education in a way that is genuinely inclusive and globally relevant? Or are there still barriers that need to be broken? I'd love to hear your thoughts. What role should open platforms play in shaping the next chapter of learning?

In this episode, I sit down with Robin Smith, Chief Technology Officer at TravelPerk, to hear how one of Europe's fastest-growing travel platforms is blending automation with empathy in a sector built on unpredictability.

Robin shares how that continuity has shaped his view of disruption, from the rise of web and mobile booking to the rapid acceleration of cloud platforms and now AI. He explains why staying rooted in a single mission has helped him stay curious and open to change in a way frequent job hopping never could.

We explore how TravelPerk is positioning itself as a consumer-grade experience built with business-grade rigour, serving mid-market companies that want seamless travel and expense tools without compromising on policies, duty of care, or integrations. Robin unpacks why large enterprises often lag in tech adoption and how nimble, decentralised teams are setting a new benchmark for innovation in corporate travel.

The conversation dives into AI's growing role in travel, from Yokoy's AI driven expense automation to the company's internal enablement strategy powered by its partnership with 9x. But Robin also reminds us of something easy to forget amid all the hype: 31 percent of travelers still pick up the phone when disruption hits. The appetite for AI is growing, but human connection isn't going away.

We also look at the invisible complexity behind making global travel feel simple, from airline add ons and multi country compliance to supporting collaborative group travel in a post pandemic world. Robin shares why the real challenge isn't building software, it's hiding the machinery behind a product that "just works."

As we round off the conversation, Robin offers advice to engineers and product leaders hoping to follow a similar path. His takeaway is refreshingly honest: ignore most advice, and fall in love with the problem. It's not about replicating someone else's journey. It's about staying curious and building your own.

So, will AI ever fully automate travel bookings or is the human touch still too valuable to leave behind? And what does building resilience look like when the rules of travel keep changing? Tune in and let me know what you think.

What happens when the world's most popular AI tools become ad platforms? That's the question I put to Aaron Goldman, CMO of Mediaocean, in a candid conversation about the future of advertising, search, and AI-native experiences.

Aaron brings over two decades of industry insight to the table, sharing his perspective on how platforms like ChatGPT are becoming the next digital frontier, not just for consumer interaction but for ad monetization. As generative AI shifts from novelty to utility, the implications for marketers are profound. Google, Meta, OpenAI, and Perplexity are all experimenting with ways to integrate advertising without disrupting user experience. But what happens when the interface you trust for recommendations also serves you tailored promotions?

We explore how AI can shape embedded ads, personalize intent-driven marketing, and even facilitate transactions within the prompt itself. Aaron also reflects on the rise of AIO (AI Optimization), what it means for traditional paid search, and how agencies must adapt to tools like Model Context Protocol to stay relevant.

This episode isn't just about platforms and protocols. It's about empathy, creativity, and critical thinking in a world increasingly automated by algorithms. If AI becomes your co-pilot, how do you stay in the driver's seat?

So what do you think? Will AI advertising be a seamless leap forward or the start of a trust crisis? Let me know your thoughts after the episode.