Tech Talks Daily

• 3203: The Creator of Spotify Playlists on the Future of Music and Fan Engagement

  How are fan relationships reshaping the music industry and beyond? In this episode of Tech Talks Daily, I sit down with Nick Holmstén, the visionary behind Spotify Playlists and former Global Head of Music at Spotify, to explore how fandom is becoming the driving force behind brand and artist success. Nick shares his journey from building Tunigo—acquired by Spotify to leading TSX Entertainment in Times Square and now focusing on the future of artist-fan connections. With streaming, social media, and emerging technologies shifting the power dynamic, fans are no longer passive listeners or consumers. They’re shaping culture, promoting artists, and setting new industry trends. We discuss how the rise of independent artists and direct-to-fan platforms is changing music distribution, why brands should rethink their audiences as communities rather than customers, and how blockchain could introduce new transparency and reward systems for engagement. Nick also shares insights from his new book, Fan-Powered Futures, which explores how companies and creators can thrive in this new landscape. With more industries embracing engagement-driven models, what lessons can businesses take from the evolution of the music industry? And how will AI, Web3, and digital innovation further transform entertainment? Tune in to hear Nick’s thoughts on what’s next for artists, brands, and fan-powered economies.

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• 3202: How OpenUK is Driving Open Technology, AI Transparency, and Global Standards

  How is open source shaping the future of technology, governance, and AI regulation? In this episode of Tech Talks Daily, I sit down with Amanda Brock, CEO of OpenUK, to explore the evolving role of open source in the age of AI, the shifting geopolitical landscape, and the ongoing push for diversity in tech. Since our last conversation, AI has taken center stage, raising urgent questions about transparency, intellectual property, and the future of open innovation. Amanda shares insights on how OpenUK advocates for open technology frameworks, the importance of sustainable funding for open-source projects, and the growing influence of standards in shaping global AI policy. She also discusses the UK's unique position between the EU's regulatory-heavy approach and the US's innovation-driven model—offering a glimpse into how policymakers grapple with the balance between governance and technological progress. With the episode airing on International Women's Day, we also dive into the state of diversity in tech. While open source has historically been a gateway for talent from all backgrounds, Amanda highlights the challenges ahead as many organizations scale back DEI initiatives. She shares how OpenUK fosters inclusivity through events like State of Open Con and why open source remains a critical entry point for aspiring developers worldwide. We also discuss the AI Action Summit and its impact on global AI policy, the rise of open-weight AI models, and why the phrase "tools, not rules" could define the future of AI governance.  Amanda also discusses her work on AI openness at AI for Good in Geneva and sustainability initiatives at COP30 in Brazil. She also shares how businesses and policymakers can contribute to a more open, collaborative future. How can open source drive innovation while ensuring accountability in AI? And what role will the UK play in shaping the global tech landscape? Tune in for a thought-provoking discussion with one of the leading voices in open technology.

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• 3201: How Boomerang Is Using AI to Turn Lost & Found Into A CX Advantage

  How can something as simple as returning a lost item transform customer experience and brand loyalty? In this episode of Tech Talks Daily, I sit down with Skyler Logsdon, CEO & Co-founder of Boomerang, to explore how his company is redefining the lost & found process through AI-powered automation. Boomerang isn’t just helping businesses return lost belongings—it’s turning those moments of frustration into powerful customer engagement opportunities. With major brands like Wells Fargo Center, Universal Studios, and top MLB & NFL teams using Boomerang’s platform, lost & found has become more than just an operational challenge—it’s a differentiator in customer experience. Skyler explains how AI-driven matching streamlines the process, reducing the burden on businesses while dramatically increasing the chances of reuniting customers with their valuables. But more than efficiency, it’s about trust. Every successfully returned item creates a meaningful connection between a business and its customers, reinforcing loyalty in a way that no marketing campaign can. We also discuss how Boomerang’s rapid expansion is building a global network of trust. From sports stadiums to theme parks and hotels, businesses are recognizing that lost & found is no longer just a back-office function—it’s a key touchpoint in the customer journey. Looking ahead, Skyler shares how Boomerang plans to scale its impact in 2025 and beyond, with the goal of making lost item recovery seamless across industries worldwide. How can businesses turn small moments of frustration into lasting customer loyalty? And what role does AI play in creating frictionless, trust-building experiences? Tune in to hear how Boomerang is revolutionizing lost & found and changing the game for customer experience.

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• 3200: CitiusTech on Trust, Transparency, and AI in Healthcare

  How can AI drive the next wave of innovation in healthcare while ensuring trust, security, and compliance? In this episode of Tech Talks Daily, I sit down with Rajan Kohli, CEO of CitiusTech, to explore how agentic AI is reshaping healthcare. From personalized patient care to streamlining clinical workflows. As AI systems take on more decision-making responsibilities, the challenge is not just about advancing technology but ensuring it operates transparently, ethically, and securely. Rajan shares insights into the biggest trends shaping healthcare technology in 2025, including the resurgence of value-based care, the shift toward on-demand personalized healthcare, and the urgent need to break down data silos for better insights. With agentic AI moving beyond passive data analysis to active decision-making, we discuss how it can improve efficiency, support medical professionals, and transform everything from diagnostics to patient engagement. But with these advancements come critical concerns. How do we ensure that AI-driven decisions are explainable and auditable? How can organizations comply with stringent healthcare regulations like HIPAA and GDPR while leveraging AI to enhance care delivery? Rajan breaks down the key trust-building frameworks needed to make AI adoption both responsible and effective. We also dive into real-world use cases, such as AI-powered virtual agents that support medication adherence, optimize clinical trials, and even assist with claims processing. These applications demonstrate how AI can ease the burden on healthcare providers while improving patient outcomes. However, cybersecurity remains a major challenge, with the healthcare industry increasingly targeted by data breaches and cyber threats. Rajan explains how leaders can strengthen AI security, prevent data manipulation, and implement strong governance models to mitigate risks. As healthcare undergoes a massive digital transformation, what will it take to balance AI innovation with the ethical and regulatory demands of the industry? And how can AI truly enhance—not replace—human expertise in healthcare? Tune in to hear Rajan Kohli’s expert perspective on the future of AI-driven healthcare.

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• 3199: How Deloitte is Helping Businesses Combat AI-Driven Fraud

  How can businesses stay ahead of the rapidly evolving risks of AI-driven fraud? In this episode of Tech Talks Daily, I sit down with Bradley Niedzielski, Audit & Assurance Partner, Digital Transformation at Deloitte, to explore the growing threat of generative AI in financial fraud and how organizations can strengthen their defenses. With deepfake technology, synthetic identities, and AI-generated forgeries becoming more sophisticated, traditional fraud detection methods are struggling to keep up. Deloitte projects that AI-driven fraud losses in the U.S. could reach $40 billion by 2027—more than tripling from 2023. Bradley shares insights from Deloitte’s latest research, including a startling statistic: over 25% of businesses have already faced a deepfake financial fraud attack, and more than half expect these threats to escalate within the next year. Despite this growing concern, only 7.4% of companies prioritize technology as their primary defense, and less than half feel confident in their ability to combat AI-powered fraud. So, what’s holding them back? And what steps should organizations be taking right now to strengthen their fraud risk management frameworks? We discuss the critical role of AI governance, the importance of transparency in AI decision-making, and why human oversight is still essential—even as AI becomes more autonomous. Bradley also highlights how finance departments increasingly embed AI into their workflows, from automating financial close processes to leveraging AI-driven scenario planning. But as AI becomes a core part of financial operations, ensuring data integrity and preventing blind trust in AI-generated outputs is more critical than ever. Beyond risk mitigation, we explore how businesses can prepare their teams for the AI-driven future. Bradley shares best practices for upskilling finance professionals, fostering a culture of innovation, and ensuring AI adoption aligns with broader organizational goals. With AI reshaping finance functions at an unprecedented pace, how can companies implement it securely while maintaining regulatory compliance and operational efficiency? As generative AI continues to disrupt the financial landscape, how can businesses balance innovation and risk management? And what strategies will define the next generation of AI-powered finance operations? Tune in to hear Bradley Niedzielski’s expert take on navigating the opportunities and challenges of AI in finance.

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