Tech Talks Daily

Tech Talks Network
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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. 1 天前

    How JLL Is Reshaping Commercial Real Estate Through AI

    Have you ever wondered what it takes to run technology for one of the largest commercial real estate companies in the world? That question shapes my conversation with Yao Morin, Global CTO at JLL, as we look at how AI is changing the places where we work, shop, and gather. Real estate may seem traditional from the outside, yet inside JLL the pace is intense. With more than 5 billion square feet under management and huge volumes of daily activity, the pressure on property teams is real and the limits of manual work are easy to see. Yao explains how this reality led to the creation of Property Assistant, JLL's new AI solution built on JLL Falcon. Falcon acts as the company's enterprise AI foundation, giving teams a secure and scalable way to use data across global operations. She describes how the platform hides complexity so developers and property teams can work with AI without thinking about which model sits behind it. We talk through everyday examples, like overcrowded meeting rooms and confusing layouts, that the assistant can flag and address through recommendations drawn from live sensor data. The assistant goes far beyond space planning. It helps teams understand rising tenant concerns, patterns in work orders, and hidden risks before they grow into larger operational issues. Yao sees AI as a partner that handles heavy data processing so people can focus on the messy, human context. That balance is central to how JLL builds its tools, and she explains why this approach gives property teams more confidence and clarity in fast-changing environments. We also explore how AI is influencing the future design of buildings. As hybrid work, flexible retail, and rising industrial needs continue to shift demand, AI can gather layouts, analyze usage, and offer guidance at a speed traditional methods cannot match.  This creates a continuous feedback loop that helps teams adjust space before frustrations grow. For Yao, it is a way to bring real-time understanding into a sector that once relied on long cycles and guesswork. Security surfaces often in our conversation. Yao details how Falcon enforces monitoring, privacy controls, and consistency across the company, which is vital when working with sensitive client data across many regions. A centralized platform allows JLL to invest deeply in safeguards rather than spreading risk across scattered tools. She highlights how trust sits at the center of the brand and why it shapes every AI decision they make. As we shift toward the future, Yao shares how JLL is expanding its pipeline to more than fifty AI assistants aimed at productivity, client insight, and sustainability. She gives examples of tools that adjust energy usage and support portfolio planning, offering a view into how AI will support both performance and environmental goals. It is clear that AI has moved from experimentation to daily use inside JLL, with real business impact already taking shape. The episode closes with a powerful reflection on leadership and representation. Yao talks openly about her own journey, the weight of visibility, and how she learned to turn moments of feeling out of place into motivation. She explains why active sponsorship matters, why belonging is a measurable business priority, and how diverse viewpoints reduce blind spots in product design. Her message is heartfelt, practical, and filled with hope for the next generation of leaders. As you listen, I would love to know which part of Yao's story stays with you. Do you see AI changing your own workplace or the spaces you pass through every day? And how do you think better representation shapes the products we build? Share your thoughts and join the conversation. Useful Links Connect With Yao Morin Learn more about JLL Tech Talks Daily is Sponsored By Denodo. To learn more, visit denodo.com

    35 分鐘

  2. 2 天前

    How Dropbox Is Rethinking Work With AI And Dropbox Dash

    Did you ever stop and wonder how many hours you lose each week hunting for files, tabs, links, or half-written ideas scattered across your apps? It is a familiar frustration, and it sits at the center of today's conversation with Dropbox VP of Engineering, Josh Clemm. Josh has spent two decades building products shaped around scale, personalisation, and clarity, and he brings that mix of experience to Dropbox's push into AI and knowledge management. In this episode, Josh shares stories from his time at LinkedIn and Uber, including the surprising Krispy Kreme promotion that took down Uber Eats across the globe and triggered a major rethink of architecture and resiliency. That experience shaped his belief that chaos often teaches the most. It also sets the stage for why he sees AI fluency as a leadership requirement rather than a trend.  You will hear how Dropbox is approaching internal experimentation, why context rot and work slop are real problems inside companies, and why the empty chat box often creates more anxiety than opportunity. Josh walks through the thinking behind Dropbox Dash, a standalone AI powered knowledge layer that connects all of your cloud apps, understands their content, and turns search into something sharper and faster. He explains why context aware AI is the next leap, how Dash builds knowledge graphs across apps, and why the future of AI might look less like single player workflows and more like tools that sit inside the flow of teamwork. It is a wide ranging conversation that moves from engineering history to the practical steps behind building AI products that feel useful rather than overwhelming. So here is the question that sits underneath everything Josh shared. What would your day look like if your information finally made sense without you having to chase it? Tech Talks Daily is Sponsored By Denodo. To learn more, visit denodo.com

    39 分鐘

  3. 3 天前

    3512: How D2L's Rob Telfer Sees Universities Adapting to an AI First World

    What does learning look like when technology shifts faster than most university systems can adapt? That question shaped my conversation with Rob Telfer, who leads education strategy for D2L across Europe, the Middle East, and Africa. Rob returned to the show with a clear view of how AI is transforming higher education and why so many institutions are struggling to keep pace with expectations from students, employers, and society. Rob opened by laying out the reality universities face today. Financial strain, fluctuating enrolment, employer demands changing at speed, and a generation of learners preparing for roles that may not even exist yet. Against that backdrop, he described AI as the biggest catalyst the sector has seen in decades and explained how it has already reshaped academic policy, assessment models, and daily teaching practice. We explored practical examples of where AI is already creating meaningful change. Rob shared how D2L is helping institutions introduce adaptive learning, on demand student support, and content creation tools that reduce the pressure on educators. These are not speculative ideas. They are used by universities serving tens of thousands of learners, improving accessibility, easing workloads, and giving students faster, more personal support. The conversation moved to employability, a worry at the centre of almost every higher education debate. Rob explained how curriculum design needs to shift from theory first to skill first, and how deeper collaboration between academia and industry can help close widening gaps. He described why AI should be woven through the learning experience rather than bolted on at the end, and how that alignment can shape graduates who are confident with the tools they will soon use in the workplace. A striking theme came from the mismatch between student behaviour and institutional policy. Many students use AI daily, even where guidance is unclear or restrictive. Rob argued that ignoring the reality only pushes students into the shadows. Universities that teach responsible use, clear evaluation methods, and prompt literacy will better prepare their learners for the world they are about to enter. We ended by looking ahead to 2026. Rob believes the institutions that thrive will be the ones that act with intent, create clear AI policies, invest in meaningful technology, and keep human connection at the centre of learning. Those that resist or delay may find themselves struggling to compete in a sector where expectations rise quickly and alternatives for learners continue to grow. If you work in education or care about the future of learning, Rob's insights offer a candid, practical view of what must change. Which of his observations resonates most with your own experience, and how should universities evolve from here? I would love to hear your thoughts. Useful Links Connect with Rob Telfer on LinkedIn Learn more about D2L Follow on LinkedIn, Twitter, and Facebook Tech Talks Daily is Sponsored By Denodo. To learn more, visit denodo.com

    30 分鐘

  4. 4 天前

    BCG on Closing the Gap Between AI Experiments and Real Business Impact

    *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:221c7553-c733-4456-a06c-c66c0626b35b-7" data-testid= "conversation-turn-16" data-scroll-anchor="true" data-turn= "assistant"> How do you guide a workforce through the fastest shift in technology most of us have seen in our careers? That question shaped my conversation with David Martin from BCG, who works at the intersection of talent, culture, and AI. He joined me from New York and quickly painted a clear picture of what is really happening inside global enterprises right now. We started with the widening split between AI fluent teams and those stuck in endless pilots. David explained why the organizations getting results are the ones doing fewer things with far greater ambition. Many others scatter energy across small use cases, save minutes instead of hours, and never reach a scale where value becomes visible. Training surfaced early as one of the biggest gaps. Not surface level workshops, but the deeper hands-on learning that helps people change how they work. David described why frontline teams lag behind, why engineers still miss major capabilities, and how leadership behaviour dramatically affects adoption. Curiosity and communication play a bigger role than most expect. We explored the move from isolated AI experiments to real workflow transformation. David shared examples from engineering, customer service, and operations where companies are finally seeing measurable results. He also explained why agents remain underused, with hesitation, data quality, and unfamiliarity still slowing progress. Shadow AI added another layer, with half of workers already using tools outside corporate systems. The conversation returned often to people. David outlined BCG's 10-20-70 rule, showing why technology is never the main bottleneck. Culture, roles, and process make or break outcomes. Leaders who provide clarity and a sense of direction see faster adoption. Those who remain hesitant create uncertainty that spreads across teams almost instantly. As we looked toward 2026, David shared cautious optimism. He sees huge potential in areas like healthcare and sustainability, along with a wave of workflow redesign that will reshape daily work. His own learning habits are simple, from podcasts to regular reading, and driven by a desire to set a strong example for his children as they grow into a world shaped by AI. If you want a grounded view of where AI is genuinely delivering change, this conversation offers rare clarity. What resonates with you most from David's perspective, and how will you approach your own learning in the year ahead? I would love to hear your thoughts.   Tech Talks Daily is Sponsored By Denodo. To learn more, visit denodo.com

    25 分鐘

  5. 4 天前

    Orange Business and the Rise of Digital Innovation Across IMEA

    Did you know that when many people hear "Orange," they still ask if it involves SIM cards? That was the perfect place to begin my conversation with Sahem Azzam, President for IMEA and Inner Asia at Orange Business. Once we cleared that up, it opened the door to a much richer story about what enterprise innovation looks like across one of the fastest-moving regions on the planet. Sahem joined me from Dubai, a city that has become a living case study for what happens when a region refuses to think small. As we compared notes from Gitex Global, it became clear that what is happening across the Middle East is not a short burst of enthusiasm. It is a deliberate long-term shift driven by young populations, bold government ambition, and a willingness to adopt new technologies before anyone else. Sahem explained how this appetite for speed is shaping the region's digital transformation and how Orange Business is supporting it through cloud, connectivity, cybersecurity, digital integration, and large-scale smart city programmes. He shared practical stories that peeled back the curtain on cognitive city design, energy optimisation, and the pressure on enterprises to simplify sprawling hybrid IT environments. What stood out was how often the conversation returned to value. Better user experiences, lower costs, and new revenue paths. Everything Orange Business builds must deliver one of those outcomes. Sahem talked through platformization, why unified infrastructure matters, and how enterprises can reduce complexity in an age where cloud, security, networking, and AI all collide at once. We also discussed the growing focus on responsible AI and the shared need for transparency. Sahem spoke about data ownership, trusted models, and the careful guardrails that must sit behind every AI deployment. The rise in cyber threats is making this more important than ever, and he offered a candid look at how Orange Cyberdefense approaches modern security through an integrated view of infrastructure, operations, and risk. What gave this conversation a personal edge was Sahem's final reflection on learning. After years at Stanford, London Business School, and Harvard, he still sees human experience as the most valuable teacher. Listening to people, sharing problems, comparing perspectives. Events like Gitex remind him that optimism is contagious and that the future of the region will be shaped by collaboration as much as technology. If you want a grounded view of digital transformation from someone living it every day, this conversation is a rare window into both the opportunities and the tension behind innovation at scale. Have you seen the same momentum in your own region, and how do you stay ahead of the pace of change? I would love to hear your thoughts.   Tech Talks Daily is Sponsored By Denodo. To learn more, visit denodo.com/aws

    24 分鐘

  6. 6 天前

    What AWS re:Invent Revealed About the Acceleration of Agentic AI

    Did you ever walk into a conference session thinking you were ready for the week, only to realise the announcements were coming so fast that you almost needed an agent of your own to keep up? That was the mood across Las Vegas, and it was the backdrop for my conversation with Madhu Parthasarathy, the general manager for Agent Core at AWS. He has spent the week at the centre of AWS's wave of agentic AI news, working on the ideas that are already moving from keynotes and demos into the hands of real enterprise teams. Sitting down with him offered a rare moment of clarity among the noise, and his calm take on what actually matters helped bring the bigger picture into focus. Madhu talked through the thinking behind Agent Core and why he believes 2026 will be the year enterprises finally begin shifting from prototypes to production-scale agents. He walked me through the two areas customers keep coming back to, trust and performance, and why the new policy framework and agent evaluations could remove long-standing barriers to deployment.  His examples were grounded in real behaviour he is seeing inside large companies, whether that is internal support workloads, developer productivity, meeting preparation, or customer-facing flows designed to reduce the friction between intent and outcome. We also explored the deeper shift introduced by Nova Forge, including the idea of blending enterprise data with model checkpoints to create domain-specific agents that can work with greater accuracy and context. Madhu explained why there will never be a one-size-fits-all model and how choice remains central to AWS's agentic AI approach. My guest also reflected on how infrastructure changes, such as Trainium three ultra servers and expanded Nova model families, are shaping the pace at which companies can experiment, evaluate, and adopt emerging capabilities. Trust surfaced again and again in our conversation. Madhu was clear that non-deterministic systems also introduce concerns, which is why action boundaries and guardrails are becoming as important as model quality. He described the excitement he is seeing from customers who now feel they have workable ways to give agents responsibility without handing over the keys entirely.  As he put it, this is the moment where confidence begins to grow because the guardrails finally meet the expectations of enterprise leaders. We closed with the topic many people have been whispering about all week, modernization. Madhu reflected on AWS Transform, the push to help organisations move away from legacy architectures far faster than before, and the impact that agentic systems will have as they support full stack migrations across Windows environments and custom languages.  Madhu cuts through the noise with a grounded view of reliable autonomy, multi-agent orchestration, policy-driven safety, and the shift toward agents as true collaborators. The question now is where you see the biggest opportunity. How might these agent-based systems change your workflows, and what would it take for you to trust them with the tasks you never seem to have time for? I would love to hear your thoughts. Tech Talks Daily is Sponsored By Denodo. To learn more, visit denodo.com/aws

    26 分鐘

  7. 12月4日

    Movember at re:Invent, A Conversation on Tech and Men's Health

    Have you ever wondered how an idea that begins with two friends in a pub ends up shaping conversations about health all over the world? That was on my mind as I met  Graham Link & Timothy Gnaneswaran from Movember on the show floor at AWS re:Invent. Their story has grown far beyond the mustache that everyone recognises. What started with a simple gesture of support has become a movement that now reaches millions, raises vast sums through a global fundraising platform, and backs projects focused on prostate cancer, testicular cancer, mental health, and suicide prevention. Hearing them describe how that original spark grew into something this wide and long lasting gave the conversation a real sense of depth. Recording in the middle of re:Invent added its own flavour. AI news filled the halls, yet Timothy and Graham were there speaking with engineers and builders about something deeply human. Their booth stopped people in their tracks, offered barbershop shaves, and created space for personal stories. They talked openly about how Movember built its own platform to handle sixty to eighty million dollars in four weeks, how it must stay resilient every minute, and how AWS has supported them for more than a decade. They also shared how technology shapes the work behind the scenes, whether it is clinical quality registries, digital conversations tools, or new research paths that explore how AI might support healthier behaviours. What stayed with me most was the honesty about the tensions they face. Men are still reluctant to talk about their health. Loneliness is rising. Social platforms create new openings and new barriers at the same time. They see how AI can help someone begin a difficult conversation, yet they are clear about the risks when people rely on tools that were never designed for mental health support. They also talked about the patterns they see across different regions, the sobering statistics in the major markets where they operate, and how younger audiences now gather in gaming communities rather than traditional spaces. Movember knows it needs technology to reach scale, but it never wants to lose the human connection at the heart of its mission. What part of their story stands out most for you, and where do you think technology can genuinely help shape the next chapter of men's health?

    24 分鐘

  8. 12月3日

    AWS re:Invent: Ruth Buscombe on How AWS Helps F1 Engineers Read a Million Data Points a Second

    Did you know a single Formula 1 car produces 1.1 million data points every second from hundreds of sensors? That number alone sets the tone for this conversation with Ruth Buscombe, an F1 strategist, analyst, and F1TV presenter whose work sits at the meeting point of engineering precision and real time storytelling. We met at AWS re:Invent in Las Vegas, and her insights into how much pressure, judgment, and creativity are wrapped inside each decision brought the sport to life in a fresh way for anyone who has ever stared at a dashboard of metrics and wondered what really matters. This discussion goes far deeper than split times and tyre choices. Ruth explains how AWS and F1 are rethinking race strategy through real time insights and cloud compute, from TrackPulse and root-cause analysis all the way to predictive graphics that let commentary teams spot a race-defining moment before it happens. She also reflects on the sport's changing culture, the growth of new fan communities, and the shift from old telemetry to modern systems that process millions of data points every second. Her stories from the paddock at Ferrari, Alfa Romeo, and F1TV help frame just how intense the job can be when 12,000ths of a second separate pole from second place. There are moments in this conversation that remind us that F1 strategy is as much about human pattern recognition as it is about machine intelligence, and that the strongest engineers find ways to absorb pressure without losing their instinct. What stood out most was how clearly Ruth links F1 to decision making in every industry. Whether she is talking about marginal gains, pattern detection, or the discipline needed to separate noise from signal, her examples make perfect sense to both race fans and tech leaders. She shares how AWS tools allow broadcasters and engineers to interpret scenarios instantly, why the sport needed to move past manual diagnosis, and how new tools even help verify whether a driver's mistake came from a small steering slide or a split-second shift error. Her passion is infectious and her explanations cut straight to the heart of what makes the blend of live racing and cloud computing work so well. As you listen, think about how your own team makes choices under pressure and ask yourself one last question. If you were in the garage making a call with the whole world watching, which signals would you trust and how fast could you act? Useful Links: Connect with Ruth  Sign up to Ruth's Newsletter AWS Insights

    26 分鐘
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簡介

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.

資訊

  • 頻道
    Tech Talks Network
  • 創作者
    Neil C. Hughes
  • 活躍年代
    2015年 - 2025年
  • 集數
    2000
  • 年齡分級
    兒少不宜
  • 版權
    © Neil C. Hughes - Tech Talks Daily 2015
  • 節目網站
    Tech Talks Daily

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