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. 13 小時前

    Denodo Technologies on Balancing AI Innovation with Data Integrity

    In this episode, I am joined by Charles Southwood, Regional GM of Denodo Technologies, a company recognised globally for its leadership in data management. With revenues of $288M and a customer base that includes Hitachi, Informa, Engie, and Walmart, Denodo sits at the heart of how enterprises access, trust, and act on their data. Charles brings over 35 years of experience in the tech industry, offering both a long-term view of how the data landscape has evolved and sharp insights into the challenges businesses face today. Our conversation begins with a pressing issue for any organisation exploring generative AI: data reliability. With many AI models trained on vast amounts of internet content, there is a real risk of false information creeping into business outputs. Charles explains why mitigating hallucinations and inaccuracies is essential not just for technical quality, but for protecting brand reputation and avoiding costly missteps. We explore alternative approaches that allow enterprises to benefit from AI innovation while maintaining data integrity and control. We also examine the broader enterprise pressures AI has created. The promise of reduced IT costs and improved agility is enticing, but how much of this is achievable today and how much is inflated by hype? Charles shares why he believes 2025 is a tipping point for achieving true business agility through data virtualisation, and what a virtualised data layer can deliver for teams across IT, marketing, and beyond. Along the way, Charles reflects on the industry shifts that caught him most by surprise, the decisions he would make differently with the benefit of hindsight, and the one golden rule he would share with younger tech professionals starting their careers now. This is a conversation for anyone who wants to understand how to harness AI and advanced data integration without falling into the traps of poor data quality, overblown expectations, or short-term thinking.

    34 分鐘

  2. 1 天前

    Akamai CTO on Why Real AI Assistants Are Still Far from Iron Man’s JARVIS

    In the movies, Tony Stark’s JARVIS is the ultimate AI assistant, managing schedules, running simulations, controlling environments, and anticipating needs before they are voiced. In reality, today’s AI agents are still far from that vision. Despite 2025 being heralded as the year of agentic AI, the first offerings from major players have been underwhelming. They can perform tasks, but they remain a long way from the seamless, hyper-intelligent assistants we imagined. In this episode, Dr. Robert “Bobby” Blumofe, CTO at Akamai Technologies, joins me to explore what is really holding AI assistants back and what it will take to build one as capable as a top human executive assistant. Bobby argues that the leap forward will not come from chasing ever-larger models but from optimization, efficiency, and integrating AI with the right tools, infrastructure, and processes. He believes that breakthroughs in model efficiency, like those seen in DeepSeek, could make capable agents affordable and viable for everyday use. We break down the spectrum of AI agents from simple, task-specific helpers to the fully autonomous, general-purpose vision of JARVIS. Bobby shares why many of the most valuable enterprise applications will come from the middle ground, where agents are semi-autonomous, task-focused, and integrated with other systems for reliability. He also explains why smaller, specialized models often outperform “ask me anything” LLMs for specific business use cases, reducing cost, latency, and security risks. The conversation covers Akamai’s role in enabling low-latency, scalable AI at the edge, the importance of combining neural and symbolic AI to achieve reliable reasoning and planning, and a realistic five-to-seven-year timeline for assistants that can rival the best human EAs. We also look at the technical, social, and business challenges ahead, from over-reliance on LLMs to the ethics of deploying highly capable agents at scale. This is a grounded, forward-looking discussion on the future of AI assistants, where they are today, why they have fallen short, and the practical steps needed to turn fiction into reality.

    36 分鐘

  3. 2 天前

    Cognizant AI CTO on Open Source, AI Trust, and the Road Ahead

    Multi-agent AI systems are moving from theory to enterprise reality, and in this episode, Babak Hodjat, CTO of AI at Cognizant, explains why he believes they represent the future of business. Speaking from his AI R&D lab in San Francisco, Babak outlines how his team is both deploying these systems inside Cognizant and helping clients build their own, breaking down organisational silos, coordinating processes, and improving decision-making. We discuss how the arrival of optimized, open-source models like DeepSeek is accelerating AI democratization, making it viable to run capable agents on far smaller infrastructure. Babak explains why this is not a “Sputnik moment” for AI, but a powerful industry correction that opens the door for more granular, cost-effective agents. This shift is enabling richer, more scalable multi-agent networks, with agents that can not only perform autonomous tasks but also communicate and collaborate with each other. Babak also introduces Cognizant’s open-sourced Neuro-AI Network platform, designed to be model and cloud agnostic while supporting large-scale coordination between agents. By separating the opaque AI model from the fully controllable code layer, the platform builds in safeguards for trust, data handling, and access control, addressing one of the most pressing challenges in AI adoption. Looking ahead, Babak predicts rapid growth in multi-agent ecosystems, including inter-company agent communication and even self-evolving agent networks. He also stresses the importance of open-source collaboration in AI’s next chapter, warning that closed, proprietary approaches risk slowing innovation and eroding trust. This is a deep yet accessible conversation for anyone curious about how enterprise AI is evolving from single, monolithic models to flexible, distributed systems that can adapt and scale. You can learn more about Cognizant’s AI work at cognizant.com and follow Babak’s insights on LinkedIn.

    33 分鐘

  4. 3 天前

    EY Technology Pulse: The Shift From LLMs to Agentic AI in Enterprise Adoption

    AI adoption in the tech sector has reached a tipping point, and the latest EY Technology Pulse poll offers a fascinating look at just how quickly things are moving. In this episode, I’m joined by Ken Englund, Partner at EY, to unpack the survey’s findings and what they reveal about the next two years of AI in enterprise. Conducted with 500 senior tech executives from companies with more than 5,000 employees, the poll focuses on AI agents, autonomous deployments, and the shifting priorities that are shaping investment strategies. Ken shares why half of the respondents expect more than 50% of their AI deployments to be fully autonomous within 24 months, and why optimism around AI’s potential remains high. He also explains a notable shift away from last year’s heavy focus on large language models toward applied AI and agentic systems designed to handle real-world business workflows. While 92% of tech leaders plan to increase AI spending in 2026, the investment isn’t solely about technology—it’s about competitiveness, customer experience, and strategic alignment. One of the more surprising takeaways is the human side of the equation. Despite headlines predicting widespread job losses, only 9% of respondents anticipate layoffs in the next six months, down from 20% last year. Instead, companies are balancing upskilling existing staff with bringing in new AI talent, with roles emerging in areas like MLOps, AI product management, and forward-deployed engineering. Ken and I also dive into the growing weight of governance, data privacy, and security. With autonomous agents becoming more embedded in core operations, boards, CFOs, and audit teams are taking a closer look at trust frameworks without wanting to slow innovation. The conversation highlights a critical inflection point: most companies are still in the “automating existing workflows” phase, but the real breakthroughs will come when AI enables entirely new business models. This episode is a snapshot of a sector in rapid evolution—where enthusiasm is tempered by lessons learned, and where the road from pilot to production is still full of challenges. You can read the full EY Technology Pulse poll here.

    23 分鐘

  5. 4 天前

    How MachineQ, a Comcast Company, is Powering the Future of IoT

    In this episode of Tech Talks Daily, I speak with Steve Corbesero, Jr., Senior Director of Products and Solutions at MachineQ, a Comcast Company, about the findings from their new Lab of the Future survey. Conducted with Censuswide, the study gathered insights from more than 400 U.S.-based lab professionals, revealing both the opportunities and persistent pain points shaping modern laboratory operations. Steve unpacks why nearly 60% of labs still face unplanned downtime from equipment failures, missed calibration schedules, and asset location issues. We discuss how manual monitoring remains the norm for over half of labs surveyed, and why 14% have no monitoring system in place at all. Despite these challenges, there’s a clear appetite for change, with 85% planning to adopt IoT solutions and 87% intending to integrate AI and machine learning into their workflows over the next two years. Our conversation explores the operational impact of disconnected systems, the risks of relying on spreadsheets, and the role of real-time monitoring in preventing costly disruptions. Steve shares practical examples of how IoT and AI are already helping labs shift from reactive to proactive management, from anomaly detection that reduces alert fatigue to intelligent data summaries that give lab managers actionable insights without hours of manual analysis. We also talk about the barriers holding some labs back from adoption, including pilot purgatory, budget constraints, and integration challenges. Steve offers his perspective on how future-ready labs will differentiate themselves—by embracing connected infrastructure, unifying data, and embedding AI into both scientific and operational workflows. If you want to understand what’s really happening inside modern labs, and how emerging technology can transform efficiency, productivity, and innovation, this episode offers a clear, data-backed view of the road ahead.

    28 分鐘

  6. 4 天前

    Inside QuantumScape’s Mission to Deliver Safer, Faster-Charging EV Batteries

    Electric vehicles promise a cleaner future, but battery performance remains one of the biggest bottlenecks. In this episode, Tim Holme, co-founder and CTO of QuantumScape, takes us inside the company’s mission to build a new generation of solid-state lithium-metal batteries that could change the game for EVs and beyond. Tim explains why the industry has been stuck with incremental improvements to lithium-ion for decades and why replacing the graphite anode with lithium metal could unlock longer range, under-15-minute charging, and improved safety. He shares how QuantumScape’s ceramic separator prevents the dendrite formation that has held back lithium-metal designs, and why this innovation can make batteries both more energy-dense and safer, even under extreme conditions. We also discuss the company’s recent “COBRA” manufacturing breakthrough, which has increased separator production speed by roughly 200 times. This leap is key to scaling production for automotive partners like Volkswagen’s PowerCo and Murata. Tim outlines how QuantumScape is approaching commercialization through a capital-light licensing model, avoiding the pitfalls that have caused other U.S. battery innovations to be commercialized overseas. Beyond electric vehicles, Tim sees untapped potential for solid-state batteries in grid-scale storage and at EV charging stations, where they could buffer demand and reduce grid strain. He also reflects on the global battery race, why careful partner selection is essential for protecting IP, and how the U.S. can maintain leadership in next-generation energy storage. Whether you are interested in battery chemistry, clean tech innovation, or the business of scaling breakthrough hardware, Tim offers a rare look at the science, strategy, and partnerships shaping the future of energy storage.

    24 分鐘

  7. 4 天前

    SentiLink on How Deepfakes and AI Are Supercharging Identity Fraud

    Tax season scams are nothing new, but David Maimon is tracking a worrying evolution. As head of Fraud Insights at SentiLink and a professor of fraud intelligence at Georgia State University, David has been studying how organised crime groups are now blending stolen identities with generative AI and deepfake technology to outpace traditional security measures. In this conversation, he explains how identities from some of the least likely victims, including death row inmates, are being exploited to open neobank accounts, set up fake businesses, and run sophisticated bust-out schemes with a low risk of detection. David breaks down how these operations work, from creating synthetic identities using stolen Social Security numbers to manufacturing convincing documents and faces that can pass liveness checks. He reveals the telltale signs his team uncovered, such as shared physical addresses, legacy email domains, and consistent digital fingerprints that point to coordinated fraud rings. With tools like DeepFaceLive, Avatarify, and cloned voices now being deployed to bypass authentication, he warns that the gap between criminal innovation and institutional defences can be as wide as 7 to 12 months. We also explore why financial institutions struggle to detect these scams early, and why layered verification, combining real-time checks with historical identity analysis, is essential. David shares the threats on the horizon, from increasingly realistic AI-generated images to voice cloning attacks, and stresses the need for both technological solutions and public awareness to slow the momentum of these schemes. Whether you work in banking, cybersecurity, or simply want to protect your own identity, this episode offers a rare look inside the tactics, tools, and vulnerabilities shaping the next wave of financial fraud. And yes, there is still time at the end for a great book recommendation and a classic Tom Petty track.

    34 分鐘

  8. 5 天前

    3376: From Hoodies to Suits: Kadena’s Blueprint for Digital Asset Adoption

    In this episode of Tech Talks Daily, I speak with Annelise Osborne, Chief Business Officer at Kadena, former Wall Street executive, and author of From Hoodies to Suits: Innovating Digital Assets for Traditional Finance. Annelise brings more than two decades of leadership experience in finance, real estate, and digital assets, and she has spent her career bridging the worlds of institutional finance and emerging blockchain technology. Our conversation begins with her personal journey from commercial mortgage-backed securities to the frontlines of blockchain innovation. She shares how a regulatory task force invitation led her to deep-dive into ICOs back in 2017, sparking her fascination with the potential of blockchain to modernize financial markets. That curiosity eventually became a career shift, culminating in her work at Propellr, ARCA Labs, and now Kadena. We explore the key themes of her book, which seeks to break down the language barriers between “hoodies” (tech innovators) and “suits” (traditional finance professionals). Annelise makes the case for clear regulation, continuous education, and interoperability as the three essential pillars for mainstream blockchain adoption. She’s candid about the misconceptions that persist in traditional finance and explains why payment solutions, tokenization, and back-office efficiencies are the practical entry points for institutions. Annelise also gives a behind-the-scenes look at Kadena’s blockchain infrastructure, from its proof-of-work security model and low gas fees to its plans for EVM compatibility and Web2-like user experiences. She highlights real-world use cases in sports fan engagement, product lifecycle tracking, and on-chain lending, illustrating how DeFi and TradFi can merge under regulated frameworks. Throughout the discussion, one theme is constant: the importance of finding the right partners, speaking each other’s language, and staying curious in a fast-changing industry. Whether you’re a finance professional, a blockchain developer, or simply interested in where digital assets are headed, Annelise’s insights offer a grounded yet forward-looking perspective on the future of finance.

    24 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
    兒少適宜
  • 版權
    © Neil C. Hughes - Tech Talks Daily 2015
  • 節目網站
    Tech Talks Daily

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