Tech Talks Daily

Tech Talks Network

If every company is now a tech company and digital transformation is a journey rather than a destination, how do you keep up with the relentless pace of technological change? Every day, Tech Talks Daily brings you insights from the brightest minds in tech, business, and innovation, breaking down complex ideas into clear, actionable takeaways. Hosted by Neil C. Hughes, Tech Talks Daily explores how emerging technologies such as AI, cybersecurity, cloud computing, fintech, quantum computing, Web3, and more are shaping industries and solving real-world challenges in modern businesses. Through candid conversations with industry leaders, CEOs, Fortune 500 executives, startup founders, and even the occasional celebrity, Tech Talks Daily uncovers the trends driving digital transformation and the strategies behind successful tech adoption. But this isn't just about buzzwords. We go beyond the hype to demystify the biggest tech trends and determine their real-world impact. From cybersecurity and blockchain to AI sovereignty, robotics, and post-quantum cryptography, we explore the measurable difference these innovations can make. Whether improving security, enhancing customer experiences, or driving business growth, we also investigate the ROI of cutting-edge tech projects, asking the tough questions about what works, what doesn't, and how businesses can maximize their investments. Whether you're a business leader, IT professional, or simply curious about technology's role in our lives, you'll find engaging discussions that challenge perspectives, share diverse viewpoints, and spark new ideas. New episodes are released daily, 365 days a year, breaking down complex ideas into clear, actionable takeaways around technology and the future of business.

  1. 2시간 전

    How Kahoot! Is Using AI and Gamification to Reignite Student Engagement

    What does meaningful engagement look like in today's classroom? And as AI becomes part of everyday teaching, how can technology help teachers inspire curiosity without adding even more pressure to an already demanding profession? In this episode of Tech Talks Daily, I'm joined by Jon Neale, Growth Director for UK and Ireland at Kahoot!, and one of the UK's most respected voices in education technology. With more than a decade in the classroom before moving into EdTech, Jon brings the perspective of someone who understands both the realities teachers face every day and the opportunities that technology can create when it is used with purpose. Our conversation begins by exploring why student engagement has become more challenging in a world filled with digital distractions. Jon explains why gamification should never be confused with entertainment and how thoughtfully designed learning experiences can encourage participation, collaboration, and confidence without turning education into a competition. We also discuss how Kahoot! has evolved far beyond the classroom quiz that many people know. Today's platform helps teachers create interactive lessons, collaborative learning experiences, and personalised activities that support learners across schools, higher education, workplace learning, and professional development. AI is another major focus of our discussion. Jon shares practical examples of how teachers are using AI to enhance existing lesson materials, generate engaging classroom activities, personalise learning, and identify where students may need extra support before small learning gaps become bigger challenges. Rather than replacing educators, AI is helping teachers spend more time doing what drew them into the profession in the first place: teaching. We also explore one of the biggest challenges facing education today, teacher workload. Jon explains why successful technology adoption starts with confidence rather than features, and why professional development plays such an important role in helping educators choose the right tool for the right situation instead of feeling overwhelmed by an endless stream of new platforms. Whether you're a teacher, school leader, learning and development professional, or simply interested in how AI is changing education, this episode offers practical insight into how technology can create richer learning experiences while keeping people firmly at the centre of education. As classrooms continue to change, what do you think will have the greatest impact on learning: AI itself, or the teachers who know how to use it well?

    33분

  2. 1일 전

    Atlassian on AI Agents, Teamwork Graph, and the Future of Work

    What if the biggest barrier to successful AI isn't the model itself, but the lack of context behind every decision your teams make? As AI agents become more capable, how do organisations ensure they understand the people, projects, documentation, and history that shape real work? In this episode of Tech Talks Daily, recorded at Team '26, I'm joined by Taroon Mandhana, CTO of AI and Teamwork at Atlassian. His responsibilities span engineering for products including Jira, Confluence, Loom, and Trello, alongside the company's AI strategy and the development of Rovo. Our conversation explores why Atlassian believes AI should become a teammate rather than simply another chatbot. Taroon explains why enterprise context has become one of the most valuable assets in the AI era. While today's foundation models continue to improve at an incredible pace, they still lack the organisational knowledge that human teams naturally accumulate over time. Atlassian's Teamwork Graph aims to bridge that gap by connecting people, projects, documentation, code, goals, and conversations into a living knowledge network that AI agents can use to produce more accurate, relevant outcomes. We also discuss why Atlassian has chosen an open approach, making its Teamwork Graph available through technologies such as MCP rather than limiting it to its own AI products. Taroon shares why interoperability will become increasingly important as businesses adopt multiple AI platforms and why organisations should be free to use the agents that best suit their needs without losing access to valuable business context. Another fascinating part of our conversation focuses on how Atlassian's own engineering teams are changing the way they build software. Smaller teams, tighter collaboration, AI-assisted development, and faster iteration cycles are allowing products to move from concept to release in weeks rather than months. Taroon explains how AI is changing both software development and the structure of engineering teams themselves. We also examine where AI should take ownership of work inside platforms like Jira, where human judgement remains essential, and why successful organisations are treating AI adoption as an ongoing product journey rather than a one-time technology deployment. If your business is looking beyond isolated AI experiments and wondering how to build AI into everyday work, this conversation offers valuable insight into the role context, openness, and organisational change will play in the next generation of enterprise software. As AI becomes part of every workflow, what do you think will become the real competitive advantage: better models, or better organisational knowledge?

    29분

  3. 2일 전

    AI, Voice, and the Future of Contact Centers with Zendesk

    What happens when customer service moves beyond answering questions and starts anticipating needs, coordinating actions, and resolving problems with AI? And what does that mean for the future of the contact center? In this episode of Tech Talks Daily, I'm joined by Jonathan Barouch, Vice President and General Manager of Contact Center at Zendesk, to discuss the company's vision for the next generation of customer experience following the integration of Local Measure into the Zendesk platform. Jonathan explains why the contact center is entering a new chapter, where AI is becoming part of every interaction rather than existing as a standalone feature. We discuss the announcements from Relate 2026 and how Zendesk is bringing together customer service, voice, automation, and AI to create a more connected experience for both customers and agents. A major part of our conversation focuses on the acquisition and integration of Local Measure. Jonathan shares why bringing enterprise voice capabilities into the Zendesk platform creates new opportunities for organisations looking to modernise their contact centres without adding unnecessary complexity. Rather than treating voice as a separate channel, Zendesk is building an experience where every customer interaction contributes to a complete understanding of the customer journey. We also discuss how AI is changing the day-to-day reality for contact center teams. Instead of replacing people, Jonathan explains how AI can remove repetitive work, surface the right information at the right time, and allow agents to spend more time solving problems that require empathy, judgement, and human conversation. Looking further ahead, we examine what the future of Contact Center as a Service could look like as AI agents become increasingly capable. Jonathan shares his perspective on how businesses should prepare for this shift, where automation fits alongside human expertise, and why success will depend on creating experiences that customers genuinely value rather than simply reducing costs. If your organisation is rethinking customer service, investing in AI, or planning the next stage of its contact center strategy, this conversation offers practical insight into where the industry is heading and what business leaders should be thinking about today. What role do you think AI should play in customer service? Where should businesses draw the line between automation and the human touch?

    28분

  4. 2일 전

    What Every CEO Can Learn from Chamberlain Group's Reinvention

    What happens when a company best known for garage door openers decides to compete with the biggest names in smart home technology? Can a business built on hardware reinvent itself as an AI-powered software company without losing the trust that made it successful in the first place? In this episode of Tech Talks Daily, I welcome Jeff Meredith, CEO of Chamberlain Group, to discuss one of the more fascinating business transformations happening in the technology sector. Chamberlain Group has spent more than 70 years building products that millions of homeowners rely on every day. Under Jeff's leadership, the company has expanded that heritage into intelligent access, creating a connected ecosystem through the myQ platform that now serves more than 15 million users worldwide. Jeff shares why leaving a successful career at Lenovo to join what many dismissed as "a garage door company" became the biggest leadership challenge of his career. Rather than following the comfortable route, he chose what he describes as the hardest path, helping reshape an established manufacturer into a technology business built around software, data, AI, and recurring customer relationships. Our conversation looks at what it really takes to attract software engineers, AI specialists, and data scientists into a company with an industrial heritage. Jeff explains why interesting problems often matter more than fashionable brands, and how Chamberlain Group's combination of trusted hardware, millions of existing customers, and ambitious software projects created an environment that appealed to top technical talent. We also spend time discussing leadership. Jeff believes the best leaders teach rather than direct, preferring to stand at the whiteboard alongside colleagues instead of issuing instructions from the corner office. He speaks openly about mistakes he made when joining the business, why vulnerability has strengthened trust across the organisation, and why admitting when you're wrong can become a strength rather than a weakness. Looking ahead, Jeff explains how AI could reshape intelligent access, moving beyond notifications to systems that understand patterns, recognise context, and help people secure their homes and businesses in smarter ways. Instead of viewing AI as technology searching for a purpose, he believes access control offers one of its most practical everyday applications. From leadership philosophy and organisational change to connected homes, AI, and the future of intelligent access, this conversation offers valuable lessons for anyone leading transformation inside an established business. What part of Jeff's story resonated most with you? Is the biggest challenge in business transformation changing the technology, or changing the mindset of the people building it?

    27분

  5. 3일 전

    Nitro Software: The Hidden AI Risks Lurking In Everyday Document Workflows

    What happens when the biggest AI security risk isn't the technology itself, but the people using it? In this episode, I sit down with Cormac Whelan, CEO of Nitro Software, to discuss why organizations need to rethink their approach to AI adoption. With research showing that 68% of C-suite executives are bypassing approved AI tools in favor of their own, we explore how an "ask forgiveness, not permission" culture is creating new security and compliance challenges for businesses around the world. Cormac shares why successful AI adoption begins with business outcomes rather than the latest model or headline-grabbing announcement. Drawing on his experience leading Nitro and previously building an AI company acquired by Apple, he explains why AI should be an enabler rather than the destination, and why organizations that focus on trust, transparency, and practical business value will ultimately pull ahead. Our conversation also looks at why documents, contracts, PDFs, and e-signatures have become some of the most overlooked parts of the enterprise AI conversation. As AI systems increasingly interact with sensitive business information, protecting document workflows is becoming just as important as securing networks and endpoints. We also discuss how European privacy standards are becoming a competitive advantage rather than simply another compliance requirement, how to separate genuine AI innovation from expensive security theater, and why AI should quietly improve the way people work instead of becoming the center of attention. If you're trying to balance AI innovation with security, governance, and business value, this conversation offers practical advice without getting lost in the hype. After listening, I'd love to hear your thoughts. Is your organization focusing on outcomes first, or is it still chasing the latest AI headline?

    28분

  6. 4일 전

    Binalyze: The Culture Change Cybersecurity Can No Longer Ignore

    What if the biggest weakness in cybersecurity isn't the technology, but the way defenders communicate with each other? Cybercriminals openly exchange techniques, vulnerabilities, and attack methods, constantly learning from one another. Meanwhile, many organizations remain reluctant to share details of breaches, investigations, or lessons learned. In this episode, I sit down with Lee Sult, Chief Investigator at Binalyze, to discuss why that imbalance is creating an advantage for attackers and what the industry can do to change it. Drawing on almost two decades in digital forensics and incident response, including work with Palantir, law enforcement agencies, and government organizations, Lee explains why cybersecurity should learn from industries such as aviation and emergency services, where every major incident becomes an opportunity for everyone to improve. We discuss why incident response needs to move beyond reacting to alerts, how proactive threat hunting can reduce attacker dwell time, and why repeatable investigation processes are becoming just as important as the security tools themselves. We also explore the growing influence of AI, not because it is making attackers dramatically smarter, but because it is lowering the barrier to entry and increasing the volume of attacks security teams must handle. Lee shares why automation is becoming essential for investigators, how organizations can move from hours to minutes when responding to threats, and why cybersecurity is steadily becoming a boardroom issue rather than simply an IT concern. If cybersecurity is truly an information war, what would happen if defenders became just as collaborative as the attackers they face every day? After listening, I'd love to hear your thoughts. Should organizations be more open about cyber incidents if it helps strengthen security for everyone?

    20분

  7. 5일 전

    How zeb Rebuilt Consulting Around AI With Substrate

    What happens when a consulting company decides that adding AI to existing workflows isn't enough? In this episode, Mal Vivek, CEO and co-founder of zeb, joins me to discuss the launch of Substrate, an AI-native operating architecture that challenges many assumptions about enterprise consulting, software delivery, and AI adoption. Rather than layering AI onto legacy processes, zeb made the bold decision to scrap its own operating model and rebuild the company from the ground up with AI at its core. The result is Substrate, a system designed to learn from every project it completes, continuously improving through a Plan, Execute, Evaluate operating loop while helping organizations move from experimentation to measurable business outcomes. Our conversation goes far beyond another AI product announcement. Mal explains why so many organizations remain trapped in what she calls "pilot purgatory," investing heavily in AI without producing measurable returns. We discuss why treating AI as an assistant often limits its potential, and why businesses may need to rethink their organizational structures, workflows, and even leadership models if they want AI to become part of their operational foundation. We also explore one of the most talked-about aspects of zeb's business model: a 100 percent outcome guarantee. Instead of charging for time or software licenses, zeb only gets paid when agreed business outcomes have been delivered. That raises interesting questions about accountability, risk, and whether the traditional consulting model still makes sense in an era where AI can dramatically compress delivery timelines. Mal also shares why zeb gives customers ownership of their own version of the Substrate engine instead of locking them into a traditional SaaS subscription, how AI changes the relationship between technology vendors and their customers, and why she believes future organizations will become flatter, faster, and increasingly focused on builders rather than management layers. If you're a technology leader trying to move beyond AI proofs of concept, or a business executive searching for a practical path to measurable AI value, this conversation offers plenty of fresh thinking on what AI-native organizations could look like over the next few years. Can businesses continue adapting yesterday's operating models for tomorrow's technology, or is it time to rebuild from the ground up? I'd love to hear where you stand after listening to this episode.

    30분

  8. 6일 전

    How Precisely Is Closing the AI Data Integrity Gap

    Can organizations really call themselves AI-ready if their data foundations still have gaps? In this episode of Tech Talks Daily, I sit down with Dave Shuman, Chief Data Officer at Precisely, to discuss the findings from the company's latest State of Data Integrity and AI Readiness Report. Drawing on insights from more than 500 senior IT leaders across the US and Europe, Dave explains why many organizations are confident in their AI readiness while simultaneously identifying infrastructure, data quality, and governance as their biggest obstacles. Our conversation focuses on what Dave describes as the AI data integrity gap, the growing disconnect between ambitious AI initiatives and the quality, consistency, and context of the data powering them. We explore why successful AI projects often perform well in controlled pilot environments before struggling when deployed at scale, and why many organizations continue to underestimate the importance of data lineage, semantic layers, governance, and observability. Dave also shares why he believes data governance and AI governance should be treated as a single discipline rather than separate initiatives. We discuss how businesses can move beyond vanity metrics such as token usage and agent counts to focus on outcomes that genuinely matter, including revenue growth, cost reduction, customer experience, and risk management. As the conversation turns to the future of agentic AI, Dave offers a practical perspective on what autonomous systems will require of organizations and why trust in data will become increasingly important as AI assumes greater responsibility behind the scenes. If your organization is investing heavily in AI and looking for measurable business value, this episode offers a timely reminder that successful AI strategies begin long before the first model is deployed. They begin with data integrity. Based on Precisely's latest research, Dave explains why companies making progress are focusing less on the latest AI tools and more on laying the foundations that enable those tools to deliver reliable outcomes. What role does data integrity play in your organization's AI strategy, and are you confident your data is truly AI-ready?

    26분
모두 보기(2천개)

호스트 및 게스트

소개

If every company is now a tech company and digital transformation is a journey rather than a destination, how do you keep up with the relentless pace of technological change? Every day, Tech Talks Daily brings you insights from the brightest minds in tech, business, and innovation, breaking down complex ideas into clear, actionable takeaways. Hosted by Neil C. Hughes, Tech Talks Daily explores how emerging technologies such as AI, cybersecurity, cloud computing, fintech, quantum computing, Web3, and more are shaping industries and solving real-world challenges in modern businesses. Through candid conversations with industry leaders, CEOs, Fortune 500 executives, startup founders, and even the occasional celebrity, Tech Talks Daily uncovers the trends driving digital transformation and the strategies behind successful tech adoption. But this isn't just about buzzwords. We go beyond the hype to demystify the biggest tech trends and determine their real-world impact. From cybersecurity and blockchain to AI sovereignty, robotics, and post-quantum cryptography, we explore the measurable difference these innovations can make. Whether improving security, enhancing customer experiences, or driving business growth, we also investigate the ROI of cutting-edge tech projects, asking the tough questions about what works, what doesn't, and how businesses can maximize their investments. Whether you're a business leader, IT professional, or simply curious about technology's role in our lives, you'll find engaging discussions that challenge perspectives, share diverse viewpoints, and spark new ideas. New episodes are released daily, 365 days a year, breaking down complex ideas into clear, actionable takeaways around technology and the future of business.

정보

  • 채널
    Tech Talks Network
  • 제작진
    Neil C. Hughes
  • 방송 연도
    2015년 - 2026년
  • 에피소드
    2천
  • 등급
    전체 연령 사용가
  • 저작권
    © Neil C. Hughes - Tech Talks Daily 2015
  • 웹사이트 보기
    Tech Talks Daily

Tech Talks Network의 콘텐츠 더 보기

좋아할 만한 다른 항목