The Tech Talks Daily Podcast

How do businesses navigate the growing security risks in a world where employees work from anywhere, on any device, with apps IT departments might not even know about? In this special episode of Tech Talks Daily, recorded live at Web Summit in Lisbon, I sit down with Jeff Shiner, CEO of 1Password—a $6.8 billion Canadian-based security company trusted by over 100,000 businesses worldwide. Jeff shares how 1Password is redefining security through its innovative Extended Access Management platform, tackling challenges that have emerged with the rise of hybrid work, shadow IT, and the widespread adoption of SaaS tools. At a time when the “access trust gap” between employers and employees poses significant risks, Jeff outlines how businesses can close this gap by securing every sign-in, device, and app, without compromising productivity. Our conversation explores the dual role of AI in cybersecurity: both as a potential threat and as a productivity enhancer. Jeff explains how 1Password leverages generative AI to improve customer support and address evolving enterprise needs. We also discuss the future of security, from integrating seamlessly with tools like Azure AD and Slack to meeting the growing demand for user-friendly solutions that employees willingly adopt—creating a win-win for both individuals and organizations. With a focus on making security intuitive, reducing friction for users, and empowering businesses to thrive in today’s fast-paced digital environment, Jeff provides invaluable insights into how 1Password is shaping the future of enterprise security. As we delve into these pressing topics, one key question remains: how can companies balance security and productivity in an ever-evolving threat landscape? Let me know your thoughts, and stay tuned for more conversations from Web Summit!

 How is artificial intelligence redefining the boundaries of creativity and copyright law? In this episode of Tech Talks Daily, recorded live at Web Summit in Lisbon, I sit down with Ed Klaris, Managing Partner at Klaris Law and a leading authority on the intersection of technology, media, and intellectual property. With over 17 years of experience at powerhouse brands like ABC, Disney, and The New Yorker, Ed brings a nuanced perspective to one of the most pressing issues in media and entertainment today: the impact of generative AI on intellectual property rights. Ed, fresh from a panel discussion titled AI vs. IP, dives into the challenges and opportunities that AI presents to content creators and legal professionals alike. We explore the contentious question of whether AI-generated works can be considered authored—and thus copyrightable—and examine how different global jurisdictions are interpreting human input requirements in the age of AI. From Hollywood's cautious embrace of AI tools to the legal debates surrounding training datasets and fair use, this conversation unpacks the complexities of blending cutting-edge technology with traditional IP frameworks. We also discuss how businesses can navigate the legal risks of leveraging AI while protecting their proprietary content, the role of blockchain in licensing and rights management, and how companies like Microsoft are addressing concerns around private AI. Ed's insights highlight both the promise and peril of this evolving landscape, offering practical advice for those looking to stay ahead in this rapidly changing field. As AI reshapes creativity and challenges legal norms, how can we strike a balance between protecting intellectual property and fostering innovation? Join us as we explore these critical questions and more from the show floor at Web Summit. I’d love to hear your thoughts—reach out via email or social media, and let’s continue the conversation!

How can the cybersecurity industry bridge the gap in its staggering 4 million open roles? This episode dives into the critical need for workforce development and how unconventional paths into cybersecurity are reshaping the field. Joining us is Keatron Evans, VP of Portfolio and Product Strategy at Infosec, a company that has trained professionals at 70% of Fortune 500 organizations. With over 17 years of experience spanning penetration testing, incident response, and information security management, Keatron shares insights on why diverse backgrounds—from non-technical fields like nursing and the military—can enrich cybersecurity teams. My guest explains how these unique perspectives, coupled with certifications and practical training, can address the skills gap in ways traditional pipelines cannot. We also explore the growing importance of upskilling in widening talent pools, creating clear career paths, and ensuring inclusivity within the industry. Keatron delves into how organizations can move beyond certifications to focus on demonstrable skills and how AI is accelerating learning while paving the way for emerging roles in cloud security and AI strategy. The conversation includes practical strategies for workplace leaders and educational institutions to revamp training programs, tap into unexpected talent pools, and prepare for 2025’s cybersecurity trends, including the intersection of cloud, AI, and cybersecurity. Where do you see the biggest challenges or opportunities in addressing the cybersecurity skills gap? Join the discussion and share your thoughts! To learn more, connect with Keatron Evans and Infosec online for valuable insights into transforming your team’s cybersecurity potential.

In this episode of the Tech Talks Daily Podcast, I’m joined by Elliott Young, EMEA CTO at Dell Technologies, to explore Dell’s ambitious approach to making AI adoption easier and more effective for businesses of all sizes. As AI becomes a key driver of digital transformation, many organizations face barriers around data management, security, and the lack of skilled talent. Dell's AI Factory aims to address these challenges head-on, providing a comprehensive solution to streamline the journey from AI concept to value creation. Elliott introduces us to Dell’s AI Factory, a scalable infrastructure designed to support a wide range of GPU options, from NVIDIA to Intel and AMD, making it flexible enough to cater to everything from edge devices to cloud-based deployments. By leveraging pre-engineered frameworks and design patterns, the AI Factory helps businesses accelerate their AI projects, reducing the time and complexity of deployment. We dive into real-world use cases, including "Hero AI" solutions like digital humans in emergency rooms and AI-augmented contact centers, demonstrating how AI can transform industries by embedding intelligence into core production systems. We also tackle the critical issue of data security. Elliott explains why on-premise and hybrid cloud models remain the preferred choice for over 80% of businesses due to their enhanced security and compliance features. He highlights Dell’s commitment to zero-trust principles and secure supply chains, which form the foundation of the AI Factory’s data management capabilities. Additionally, Elliott shares insights into the innovative security strategies required to address the unique data challenges posed by AI technologies. Sustainability is another key focus for Dell, as Elliott discusses the energy efficiency improvements in the latest generation of Dell PowerEdge servers and the company's efforts to use recycled materials in hardware and packaging. We also explore how GenAI solutions within the AI Factory can help optimize resource usage, replacing outdated, less efficient AI systems. As the conversation moves to the skills gap in AI, Elliott talks about Dell's approach to bridging this divide. By focusing on business expertise rather than purely technical skills, Dell’s workshops and professional services aim to make AI accessible for a broader range of users. He emphasizes the importance of empowering teams to prioritize AI use cases that align with business objectives. Finally, we discuss Dell's commitment to an open ecosystem approach, which supports multiple hardware options and software integrations. Elliott explains how multi-tenancy capabilities within the AI Factory enable efficient resource sharing across departments, maximizing GPU utilization and driving business efficiency. The company is currently preparing for the Dell Technologies Forum on November 26th, where they will showcase the latest capabilities of the AI Factory. This episode offers a sneak peek into the future of AI-driven innovation and how businesses can overcome common hurdles in AI adoption. Will Dell’s AI Factory pave the way for a more accessible and effective AI landscape?   

This episode was recorded live at Web Summit with Andrew Skrypnyk, CEO and co-founder of Promova, a language learning platform that’s making waves in the EdTech space. With a recent nomination for the 2024 Allstars Awards by GP Bullhound and a spot on Forbes’ 30 Under 30 list, Andrew brings a unique perspective on the evolving landscape of education technology and the future of accessible learning. From his move from Ukraine to San Francisco, where he expanded Promova’s reach, to achieving 15 million downloads and 1.8 million active users, Andrew's journey is nothing short of inspiring. We discuss the challenges of competing in a saturated market against giants like Duolingo and Babbel, and explore Promova’s path to profitability in just two years. Andrew shares insights on how the platform has evolved from a simple flashcard app to a comprehensive, personalized learning tool designed with inclusivity at its core. We discuss innovative features like Dyslexia Mode, which aims to make language learning accessible to neurodivergent individuals, and the balance of AI and human interaction in creating an effective educational experience. Andrew also sheds light on Promova's partnership with the Ukrainian government, offering free premium access to all Ukrainians, a commitment to support language learning during times of crisis. As he prepares to speak at Web Summit 2024 on the panel "Teaching for Tomorrow's Jobs Today," Andrew offers a glimpse into the future of EdTech and the growing importance of adapting content for diverse learning needs. Is the future of education technology rooted in personalization and inclusivity? Can language learning apps blend AI with the human touch to deliver better outcomes? Tune in to find out, and share your thoughts after the episode!

Are we ready to see a true revolution in the offshore wind industry? In this episode of Tech Talks Daily, we’re joined by Joe Tidball, VP and Co-Founder of Beam, a cutting-edge British deep tech company making waves (literally) with its innovative use of AI and autonomy. As the world leans further into renewable energy, Beam is stepping up with robotic ships and autonomous underwater vehicles designed to service offshore wind farms more efficiently than ever before. We’ll explore how Beam’s technology is helping to solve the offshore industry’s growing labor challenges and meet ambitious targets set for 2030. Joe shares insights into their recent groundbreaking achievement—the world’s first AI-driven autonomous underwater vehicle deployed to inspect offshore structures. It’s a feat that signals a new era for automation and data-driven decision-making in the energy sector. In our conversation, we break down the basics of the offshore wind industry for newcomers, dive into the ways technology is transforming this space, and discuss the implications of integrating AI, including both its promise and potential pitfalls. Joe offers a candid look at how Beam navigates these challenges and what the future holds for AI-driven autonomy in wind farm operations. As Web Summit gathers industry leaders and tech enthusiasts from around the globe, this episode couldn’t be more timely. So, is AI the key to unlocking the full potential of renewable energy, or are we still navigating uncharted waters? Tune in and find out. And after you listen, don’t forget to share your thoughts—can AI truly redefine our approach to energy sustainability, or is there more work to be done?

  In an age dominated by surveillance and data collection, is it truly possible to achieve digital anonymity? On today’s episode, recorded live from Web Summit in Lisbon, I’m joined by two trailblazers who are challenging conventional wisdom around online privacy: Chelsea Manning, well-known whistleblower and privacy advocate, and Harry Halpin, CEO of Nym Technologies. Together, they reveal why traditional tools like VPNs and encrypted messaging apps might not be enough to protect us in a world where advanced AI can mine metadata to uncover our most private activities. We explore the current state of digital privacy, dissecting the limitations of existing tools and introducing NymVPN, the world’s first decentralized VPN powered by a noise-generating mixnet.  With AI’s ability to sift through patterns in data, simple encryption isn’t sufficient anymore. Manning and Halpin delve into the concept of metadata—the often-overlooked data about data—highlighting its importance in AI-driven surveillance and why it poses a significant threat to our privacy. In this engaging conversation, we break down how NymVPN’s mixnet technology offers a unique approach by obscuring online behavior with noise and mixing up data streams. We also address practical questions: Can this technology be easily adopted by everyday users? How does it stack up against popular tools like Tor? And what role does it play in regions plagued by censorship and heavy surveillance? Whether you’re a journalist, an activist, or simply concerned about your digital privacy, this episode offers a thought-provoking look at the future of online anonymity. Are we truly entering a new frontier in digital freedom, or is privacy becoming an illusion? Tune in to find out—and decide for yourself if it’s time to rethink the tools you use to stay safe online. After listening, I’d love to hear your thoughts. Have your views on digital privacy changed after this discussion? Let me know. Until next time, stay informed and vigilant—because privacy is more than a right; it’s a necessity in today’s interconnected world.

In this special episode recorded live at Web Summit 2024, I’m joined by Mahe Bayireddi, the visionary CEO and co-founder of Phenom, a global leader in AI-powered talent experiences. As AI becomes a transformative force across industries, the HR sector is at a pivotal crossroads, and Phenom is leading the charge in redefining the future of talent management.  With a mission to help a billion people find the right work, Phenom’s innovative solutions are already benefiting companies like DHL, Kuehne+Nagel, and United Airlines, helping them hire faster, develop talent more effectively, and retain employees longer. In our conversation, Mahe shares his unique insights on navigating the rapidly evolving landscape of AI regulations, including the complexities of the National Privacy Bill and the EU AI Act. We discuss why understanding these regulations is crucial for companies before implementing AI solutions and how ethical considerations play a key role in shaping the future of AI in HR. Mahe dives deep into how Phenom’s award-winning GenAI solutions are driving efficiency, productivity, and employee satisfaction while addressing the challenges of balancing automation with human oversight. We also explore Mahe’s vision for the future of HR and the role AI will play in creating more personalized, data-driven talent experiences. What does the rise of GenAI mean for HR professionals, and how can organizations adapt to these changes while remaining compliant? Join us for a thought-provoking discussion on the future of AI in HR, the regulatory hurdles ahead, and how companies can embrace this technology responsibly. Tune in for an insightful conversation that explores the intersection of AI, regulation, and the evolving world of work. What are your thoughts on the balance between innovation and compliance in the age of AI? Share your perspectives, and don’t miss the latest from Web Summit 2024. Useful Links www.phenom.com www.iamphenom.com

In this episode, I’m joined by Jitesh Ghai, CEO of Hyland, to discuss the pressing yet often overlooked issue: unstructured data and its potential to redefine AI strategies. As enterprises increasingly prioritize AI, unstructured data—like documents, videos, and images—remains a largely untapped resource, despite making up about 80-85% of enterprise data. We explore why this data holds untold potential and how Hyland aims to unlock this through their newly launched Content Innovation Cloud. Jitesh shares insights on why organizations should look beyond conventional data lakes and warehouses, shifting focus towards content repositories. This approach enables companies to harness large language models to extract insights and accelerate innovation. We also discuss Hyland's role as a long-standing leader in enterprise content management, trusted by over 14,000 customers worldwide. With a vision to drive AI-driven transformation, Hyland’s platform goes beyond simple automation to offer a unique mix of content intelligence, process intelligence, and application intelligence. Jitesh provides a preview of Hyland’s AI strategy, highlighting their rapid development cycle, where new capabilities are delivered in months rather than years. We explore how leveraging customers’ data assets can serve as a powerful tool in developing advanced AI features, while balancing the pace of innovation with real-world practicality. If you’ve been considering how to effectively integrate AI into your enterprise and harness the power of your existing content, this episode offers a fresh perspective on the opportunities and strategies that can make it possible. Are you ready to rethink your approach to unstructured data and unlock its full potential? Tune in, and let’s see where it takes us. What do you think? Could unstructured data be the missing piece in your AI strategy? Share your thoughts with us after listening!

In this episode of Tech Talks Daily, I’m joined by Tanvir Khan, Executive Vice President at NTT Data, to explore the cutting-edge technologies shaping the future of business. With a focus on Generative AI, cybersecurity, and the evolution of digital workplaces, Tanvir shares insights from NTT Data’s approach to driving industry innovation and tackling complex challenges. We begin with a deep dive into the world of Generative AI, discussing how this transformative technology is already making waves in industries from finance to healthcare. Tanvir explains why large-scale experimentation and empowering employees are key strategies for unlocking AI’s potential. We also consider the broader implications of AI, including its ability to enhance—rather than replace—human expertise, particularly in fields like risk management and regulatory compliance. The conversation shifts to cybersecurity in the AI era, where Tanvir outlines a holistic approach that includes strengthening perimeter defenses, minimizing damage through encryption, and building rapid recovery capabilities. With AI playing a dual role in both enhancing security and posing new threats, he emphasizes the importance of ongoing user training to mitigate human vulnerabilities. As we navigate the modern digital workplace, Tanvir discusses how the shift to hybrid work has redefined collaboration and productivity. We explore the blend of physical and virtual spaces, the need for proactive tech support, and the role of AI-driven tools in creating seamless experiences for employees. He shares how companies can harness Generative AI to support this hybrid model, driving efficiency while maintaining flexibility. Finally, we touch on NTT Data’s innovative strategies in financial services, including a recent partnership with Naehas to streamline personalized banking solutions. Tanvir highlights the growing need for integrated, AI-driven approaches in digital banking and how these solutions are transforming customer experiences. How can businesses effectively integrate AI into their strategies without overestimating its capabilities? What steps should companies take to protect against evolving cybersecurity threats? Tune in to hear Tanvir Khan’s expert insights and share your thoughts on the future of technology and digital transformation.