Tech Talks Network

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Technologies

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26 juil.
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11 août
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11 août
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17 juil.
Technologies

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-2 J

AlgoSec on AI, Automation, and the Next Era of Network Management

The enterprise network is under pressure like never before. Hybrid environments, cloud migrations, edge deployments, and the sudden surge in AI workloads have made it increasingly difficult to keep application connectivity secure and reliable. The old model of device-by-device, rule-based network management can’t keep up with today’s hyperconnected, API-driven world. In this episode of Tech Talks Daily, I sit down with Kyle Wickert, Field Chief Technology Officer at AlgoSec, to discuss the future of network management in the age of platformization. With more than a decade at AlgoSec and years of hands-on experience working with some of the world’s largest enterprises, Kyle brings an unfiltered view of the challenges and opportunities that IT leaders are facing right now. We talk about why enterprises are rapidly shifting to platform-based models to simplify network security, but also why that strategy can start to break down when dealing with multi-vendor environments. Kyle explains the fragmentation across cloud, on-prem, and edge infrastructure that keeps CIOs awake at night, and why spreadsheets and manual change processes are still far too common in 2025. He also shares why visibility, intent-based policies, and policy automation are becoming non-negotiable in reducing risk and friction. Kyle doesn’t just talk theory. He shares a real-world case study of a European financial institution that automated policy provisioning across firewalls and cloud infrastructure, integrated it with CI/CD pipelines, and reduced its change rejection rate from 25% to 4%. It’s a compelling example of how the right approach to network management can deliver measurable improvements in agility, security, and business satisfaction.

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23 min
-1 J

Fear vs FOMO: Kantar’s View on AI Adoption in Marketing

In this episode of Tech Talks Daily, I speak with Jane Ostler from Kantar, the world’s leading marketing data and analytics company, whose clients include Google, Diageo, AB InBev, Unilever, and Kraft Heinz. Jane brings clarity to a debate often clouded by headlines, explaining why AI should be seen as a creative sparring partner, not a rival. She outlines how Kantar is helping brands balance efficiency with inspiration, and why the best marketing in the years ahead will come from humans and machines working together. We explore Kantar’s research into how marketers really feel about AI adoption, uncovering why so many projects stall in pilot phase, and what steps can help teams move from experimentation to execution. Jane also discusses the importance of data quality as the foundation of effective AI, drawing comparisons to the early days of GDPR when oversight and governance first became front of mind. From Coca-Cola’s AI-assisted Christmas ads to predictive analytics that help brands allocate budgets with greater confidence, Jane shares examples of where AI is already shaping marketing in ways that might surprise you. She also highlights the importance of cultural nuance in AI-driven campaigns across 90-plus markets, and why transparency, explainability, and human oversight are vital for earning consumer trust. Whether you’re a CMO weighing AI strategy, a brand manager experimenting with new tools, or someone curious about how the biggest advertisers are reshaping their playbooks, this conversation with Jane Ostler offers both inspiration and practical guidance. It’s about rethinking AI not as the end of creativity, but as the beginning of a new partnership between data, machines, and human imagination.

-1 j

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28 min
-3 J

Claroty on Combating Model Poisoning and Adversarial Prompts

AI is rapidly becoming part of the healthcare system, powering everything from diagnostic tools and medical devices to patient monitoring and hospital operations. But while the potential is extraordinary, the risks are equally stark. Many hospitals are adopting AI without the safeguards needed to protect patient safety, leaving critical systems exposed to threats that most in the sector have never faced before. In this episode of Tech Talks Daily, I speak with Ty Greenhalgh, Healthcare Industry Principal at Claroty, about why healthcare’s AI rush could come at a dangerous cost if security does not keep pace. Ty explains how novel threats like adversarial prompts, model poisoning, and decision manipulation could compromise clinical systems in ways that are very different from traditional cyberattacks. These are not just theoretical scenarios. AI-driven misinformation or manipulated diagnostics could directly impact patient care. We explore why the first step for hospitals is building a clear AI asset inventory. Too many organizations are rolling out AI models without knowing where they are deployed, how they interact with other systems, or what risks they introduce. Ty draws parallels with the hasty adoption of electronic health records, which created unforeseen security gaps that still haunt the industry today. With regulatory frameworks like the UK’s AI Act and the EU’s AI regulation approaching, Ty stresses that hospitals cannot afford to wait for legislation. Immediate action is needed to implement risk frameworks, strengthen vendor accountability, and integrate real-time monitoring of AI alongside legacy devices. Only then can healthcare organizations gain the trust and resilience needed to safely embrace the benefits of AI. This is a timely conversation for leaders across healthcare and cybersecurity. The sector is on the edge of an AI revolution, but the choices made now will determine whether that revolution strengthens patient care or undermines it. You can learn more about Claroty’s approach to securing healthcare technology at claroty.com.

-3 j

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35 min
-6 J

Communication Skills Every Tech Leader Needs

What do you do when your technical brilliance doesn’t translate into clear, compelling communication? That’s where Salvatore Manzi comes in. With a background in business communication and a career spent coaching leaders across tech, finance, and global policy, Salvatore helps bold thinkers bring clarity and connection to even the most complex ideas. In this episode, we talk about the communication challenges that many technical leaders face—especially when speaking to non-technical stakeholders. Whether you’re leading a product team, presenting in a high-stakes board meeting, or trying to assert your voice in a fast-paced discussion, Salvatore offers practical strategies that go far beyond public speaking tips. His insights are grounded in two decades of real-world experience, from coaching TEDx speakers and United Nations delegates to guiding SVPs through business model pivots and helping raise hundreds of millions in funding. We explore how data-driven leaders can use storytelling without compromising accuracy, how to manage energy and presence when nerves kick in, and what leadership looks like when you lean more analytical than charismatic. Salvatore shares a refreshing take on body language, framing it not as performance but as a tool for genuine alignment between your message and your intention. We also dig into the nuance of communicating uncertainty—how to be honest and credible without losing influence. For anyone in a technical role looking to lead more effectively, this episode is packed with insight. Salvatore’s mission is to help people speak with clarity and lead with authenticity. After this conversation, you may just find yourself doing both a little differently.

-6 j

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29 min
-4 J

From Deliverables to Outcomes: Emergn’s New Playbook for Digital Success

In November, Alex Adamopoulos, CEO of Emergn, joined me on Tech Talks Daily to talk about transformation fatigue and why so many well-intentioned change programs leave people drained rather than inspired. This time, he’s back with a sharper question: if traditional transformation is broken, what actually works? His answer is refreshingly direct. Product thinking is strategic thinking, and it belongs everywhere in the enterprise, not just in product teams. In our conversation, Alex explains why HR, finance, and even legal teams now need product strategy skills as much as engineers or designers. He introduces Praxis, Emergn’s newly launched platform that rebrands their long-standing VFQ approach and now embeds product thinking across entire organizations. With its AI-powered coach Stella, Praxis is designed to support continuous learning while helping teams make better day-to-day decisions. We also discuss why outcomes, not deliverables, have become the accurate measure of digital success. Alex likens it to leaders constantly returning to their boards like entrepreneurs on Shark Tank, demonstrating incremental value before securing the next round of support. This shift in accountability changes how teams plan, learn, and invest. Another essential thread is the link between burnout and broken transformation models. Alex recently co-authored a paper with Harvard professor Amy Edmondson on “Breaking the Failure Cycle,” and he shares how adopting a product mindset can help organizations move past fatigue by focusing on outcomes, embracing uncertainty, and avoiding the endless reinvention trap. Whether you’re in a global enterprise grappling with AI adoption or a smaller company rethinking strategy, this episode is a reminder that transformation is not a program but a continuous practice. Product thinking offers a practical path forward, one that makes strategy executable, measurable, and, most importantly, sustainable.

-4 j

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22 min
15 AOÛT

MariaDB’s Roadmap for Cloud, AI, and Performance Leadership

MariaDB is a name with deep roots in the open-source database world, but in 2025 it is showing the energy and ambition of a company on the rise. Taken private in 2022 and backed by K1 Investment Management, MariaDB is doubling down on innovation while positioning itself as a strong alternative to MySQL and Oracle. At a time when many organisations are frustrated with Oracle’s pricing and MySQL’s cloud-first pivot, MariaDB is finding new opportunities by combining open-source freedom with enterprise-grade reliability. In this conversation, I sit down with Vikas Mathur, Chief Product Officer at MariaDB, to explore how the company is capitalising on these market shifts. Vikas shares the thinking behind MariaDB’s renewed focus, explains how the platform delivers similar features to Oracle at up to 80 percent lower total cost of ownership, and details how recent innovations are opening the door to new workloads and use cases. One of the most significant developments is the launch of Vector Search in January 2023. This feature is built directly into InnoDB, eliminating the need for separate vector databases and delivering two to three times the performance of PG Vector. With hardware acceleration on both x86 and IBM Power architectures, and native connectors for leading AI frameworks such as LlamaIndex, LangChain and Spring AI, MariaDB is making it easier for developers to integrate AI capabilities without complex custom work. Vikas explains how MariaDB’s pluggable storage engine architecture allows users to match the right engine to the right workload. InnoDB handles balanced transactional workloads, MyRocks is optimised for heavy writes, ColumnStore supports analytical queries, and Moroonga enables text search. With native JSON support and more than forty functions for manipulating semi-structured data, MariaDB can also remove the need for separate document databases. This flexibility underpins the company’s vision of one database for infinite possibilities. The discussion also examines how MariaDB manages the balance between its open-source community and enterprise customers. Community adoption provides early feedback on new features and helps drive rapid improvement, while enterprise customers benefit from production support, advanced security, high availability and disaster recovery capabilities such as Galera-based synchronous replication and the MacScale proxy. We look ahead to how MariaDB plans to expand its managed cloud services, including DBaaS and serverless options, and how the company is working on a “RAG in a box” approach to simplify retrieval-augmented generation for DBAs. Vikas also shares his perspective on market trends, from the shift away from embedded AI and traditional machine learning features toward LLM-powered applications, to the growing number of companies moving from NoSQL back to SQL for scalability and long-term maintainability. This is a deep dive into the strategy, technology and market forces shaping MariaDB’s next chapter. It will be of interest to database architects, AI engineers, and technology leaders looking for insight into how an open-source veteran is reinventing itself for the AI era while challenging the biggest names in the industry.

15 août

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27 min
18 AOÛT

How Veritone Is Making AI Work for Media, Government, and Beyond

What does it take to make AI actually work at enterprise scale? In this episode of Tech Talks Daily, I’m joined by Ryan Steelberg, CEO of Veritone, to unpack the very real challenges and opportunities that come with bringing artificial intelligence into complex industries like media, law enforcement, and government. Ryan has been building AI solutions long before it became headline news. He co-founded Veritone in 2014 with a mission to solve the unstructured data problem. Think audio, video, and other media that doesn't fit neatly into rows and columns. Now, Veritone isn’t just talking about AI. It’s powering more than 3,000 clients across sectors with real applications that drive measurable ROI. We get into what it means to work with unstructured data at scale, and how Veritone processed over 58 million hours of media in 2024 alone. Ryan explains why traditional enterprises struggle to operationalize AI and how Veritone has evolved from a platform company into a creator of end-user applications designed for impact. This includes ad optimization for ESPN and video redaction for law enforcement. What’s especially compelling is Veritone’s growing footprint in high-barrier sectors like federal defense and law enforcement. Ryan talks through what it took to become a prime contractor for the U.S. Air Force and Defense Logistics Agency, how Veritone adapted its stack for secure deployments, and why the key to adoption in these sectors isn’t just tech. It’s trust and proximity to mission-critical outcomes. We also discuss the company’s push into the $17 billion global training data market through the Veritone Data Repository. Ryan shares why VDR is gaining traction fast and how it positions the company as a key partner for the next generation of AI models. This isn’t a story of hype or futuristic promises. It’s a grounded look at what it really takes to scale AI in some of the most demanding enterprise environments. Whether you’re deep in the AI world or still figuring out where your business fits, Ryan’s perspective is honest, strategic, and full of lessons you can apply right now.

18 août

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34 min
13 JUIL.

Veeva Systems and the Future of Agentic AI in Pharma

AI is racing ahead, but for industries like life sciences, the stakes are higher and the rules more complex. In this episode, recorded just before the July heatwave hit its peak, I spoke with Chris Moore, President of Europe at Veeva Systems, from his impressively climate-controlled garden office. We covered everything from the trajectory of agentic AI to the practicalities of embedding intelligence in highly regulated pharma workflows, and how Veeva is quietly but confidently positioning itself to deliver where others are still making announcements. Chris brings a unique perspective shaped by a career that spans ICI Pharmaceuticals, PwC, IBM, and EY. That journey taught him how often the industry is forced to rebuild the same tech infrastructure again and again until Veeva came along. He shares how Veeva’s decision to build a life sciences-specific cloud platform from the ground up has enabled a deeper, more compliant integration of AI. We explored what makes Veeva AI different, from the CRM bot that handles compliant free text to MLR agents that support content review and approval. Chris explains how Veeva’s AI agents inherit the context and controls of their applications, making them far more than chat wrappers or automation tools. They are embedded directly into workflows, helping companies stay compliant while reducing friction and saving time. And perhaps more importantly, he makes a strong case for why the EU AI Act isn’t a barrier. It’s a validation. From auto-summarising regulatory documents to pulling metadata from health authority correspondence, the real-world examples Chris offers show how Veeva AI will reduce repetitive work while ensuring integrity at every step. He also shares how Veeva is preparing for a future where companies may want to bring their LLMs or even run different ones by geography or task. Their flexible, harness-based approach is designed to support exactly that. Looking ahead to the product’s first release in December, Chris outlines how Veeva is working hand-in-hand with customers to ensure readiness and reliability from day one. We also touch on the broader mission: using AI not as a shiny add-on, but as a tool to accelerate drug development, reach patients faster, and relieve the pressure on already overstretched specialist teams. Chris closes with a dose of humanity, offering a book and song that both reflect Veeva’s mindset, embracing disruption while staying grounded. This one is for anyone curious about how real, applied AI is unfolding inside one of the world’s most important sectors, and what it means for the future of medicine.

13 juil.

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31 min
-5 J

From Wallets to Agents: The Next Chapter for Magic Labs

In this episode of Tech Talks Daily, Neil sits down with Sean Li, co-founder and CEO of Magic Labs, to explore the intersection of crypto wallets, artificial intelligence, and the future of autonomous finance. Sean shares how Magic Labs has already onboarded over 50 million crypto wallets by pioneering simple login methods using email and SMS. Now, with Magic Newton, Sean is pushing into new territory where AI agents could securely manage digital assets on our behalf. From AI "concierges" executing investment strategies to cryptographic policy engines enforcing trust and control, the vision is clear: a financial internet where humans set the intent and machines handle the execution. We discuss the challenges of today’s fragmented crypto experience, how smart wallets and AI could abstract away complexity, and why Sean believes everyone with an email address will eventually have multiple agents acting on their behalf. You'll also hear why he compares this shift to building a digital institution or constitution for autonomous finance. Whether you're a developer, investor, or simply crypto-curious, this episode offers a fascinating look at where Web3, AI, and programmable trust may be heading next.

-5 j

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40 min
19 AOÛT

What Wikidata Reveals About the Good Side of the Internet

When most people think of Wikipedia, they picture an endless scroll of human-readable pages. But there’s another side to this ecosystem, one designed not just for people but also for machines. It’s called Wikidata, and if you haven’t heard of it, that’s exactly why this conversation matters. In this episode of Tech Talks Daily, I’m joined by Lydia Pintscher, Wikidata Portfolio Manager at Wikimedia Deutschland, for a deep look into how structured, open data is quietly powering civic tech, cultural preservation, and knowledge equity across the globe. Wikidata is the backbone that helps turn static knowledge into something living, adaptable, and scalable. With over 117 million items, 1.65 billion semantic statements, and more than 2.34 billion edits, it's become one of the largest collaborative datasets in the world. But it’s not just the size that makes it impressive. It’s what people are doing with it. Lydia shares how volunteers and developers are building tools for everything from investigative journalism to public libraries, all without needing deep pockets or proprietary infrastructure. This isn’t big tech. It’s a global, grassroots movement making open data work for the public good. We explore how tools like Toolforge and the Wikidata Query Service lower the barrier to entry, allowing civil society groups to build sophisticated applications that would otherwise be out of reach. Whether it’s helping connect citizens to government services or preserving disappearing languages, the use cases are multiplying fast. Lydia also reflects on how Wikidata fosters a sense of purpose for contributors, offering a rare example of what many call the good internet, where collaboration outweighs competition and building something meaningful beats chasing virality. If you’re curious about where open knowledge is headed, how structured data can be a force for social impact, or why Wikidata might be the most important project you’ve never fully explored, this episode offers a window into a future where machines help humans build something better, together.

19 août

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19 min

The Tech Talks Network is a curated ecosystem of podcasts designed to inform, challenge, and inspire business and technology leaders navigating digital transformation. With a growing portfolio of specialized shows, the network brings together diverse voices from across the enterprise technology space—offering nuanced perspectives on the trends shaping our digital future. Whether you're exploring AI integration, cybersecurity strategy, IT infrastructure, or startup innovation, the Tech Talks Network connects you to the insights that matter, from the people making it happen.

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