Future Tech And Foresight

Marc and Dr. Ewelina Kurtys explore how living neurons are being used to build radically new biocomputers, examining the technology’s origins, challenges, ethics, and potential to outperform traditional computing in energy efficiency and complex problem-solving.About the Episode:This episode dives into the emerging world of biocomputing — a field exploring how living neurons can serve as powerful, energy-efficient processors capable of learning, adapting, and solving complex problems in entirely new ways. The conversation traces how this field developed, from early entrepreneurial vision to today’s cutting-edge research happening across a small number of pioneering companies worldwide, including groundbreaking work taking place in Switzerland.Listeners will hear about the promise of building central bioservers accessible remotely, how neurons dramatically outperform silicon chips in energy efficiency, and the technical challenges behind training living cell systems to behave like computational processors. The discussion also takes a forward-looking stance, exploring timelines, research milestones, commercialization paths, and why AI integration is essential to accelerating progress.Beyond the technical story, the episode thoughtfully examines ethical considerations around using human-derived neurons, questions of potential consciousness, and how society might navigate regulation and responsibility as this technology evolves. The result is a fascinating preview of a possible future where biological and digital computing work side by side to power the next generation of intelligence.About the Guest:Dr. Ewelina Kurtys comes from a multidisciplinary background spanning pharmacy, biotechnology, and neuroscience, bringing together scientific expertise with a strong focus on real-world innovation. Her work centers on the development of biocomputing systems that use living neurons to process information, pushing the boundaries of how computers can be built and what they can achieve. She has played a key role in advancing research, patent development, and commercialization strategies in this emerging field. With experience bridging academic research and applied technology, she works closely with global partners and institutions exploring bioprocessing and neuron-based computing. Through her work, Ewelina continues to help shape the future of computing, energy efficiency, and human-machine intelligence.Linkedin: https://www.linkedin.com/in/ewelinakurtys/Timestamps:00:01:14 - Episode Commences00:03:26 - Biocomputing: Living Neurons in Tech00:09:27 - Biocomputer Development With Living Neurons 00:19:05 -  Neuron Survival in Biocomputer Research00:21:16 - Biocomputing Research and Investment Plans00:24:19 - Ethical Implications of Biocomputing Organoids00:29:55 - Biocomputer Development and Algorithms00:33:01 - Biocomputing and Remote Lab Collaboration00:40:34 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

Marc and Leon explore how talent acquisition has evolved in the age of remote work and AI, unpacking global hiring trends, recruiter expectations, and the future of work.About the Episode:Talent acquisition has changed dramatically over the past decade, shaped by globalization, remote work, and rapid advances in technology. In this episode, the conversation dives into how large enterprises structure their recruiting processes, how tools like applicant tracking systems and LinkedIn have reshaped hiring, and why recruiters today are expected to manage more complexity with fewer resources.The discussion expands into global hiring trends, with a particular focus on Latin America as a fast-growing talent market. From cultural nuances and language skills to infrastructure challenges and onboarding remote employees, the episode highlights what organizations often overlook when hiring internationally and why doing it right can unlock massive advantages for both companies and candidates.The episode also tackles the realities behind emerging technologies. While VR once promised to revolutionize remote collaboration and hiring experiences, its momentum has faded. In contrast, AI is already embedded across the talent acquisition lifecycle, raising important questions about fairness, efficiency, and how both recruiters and candidates can use these tools responsibly. The result is a forward-looking look at how hiring is evolving and what skills will matter most in the future.About the Guest:Leon Cartelli is a talent acquisition leader and mentor with over 15 years of experience building high-performing recruiting teams across startups and global organizations. He specializes in connecting talent strategy directly to business growth, spanning executive search, employer branding, candidate experience, and talent development. Leon brings a practical, real-world perspective shaped by leading talent initiatives across Latin America, North America, and globally. He believes hiring is only the beginning and that real impact comes from designing people journeys that engage and inspire at every stage. Through his work, Leon continues to build and mentor the next generation of recruiting excellence in a rapidly evolving global talent market.Timestamps:00:01:17 - Episode Commences00:03:32 - Journey Into Corporate Talent Acquisition00:06:46 - Evolution of Talent Acquisition Processes 00:16:28 -  Global Talent Acquisition Trends00:30:56 - VR's Decline in Remote Collaboration00:33:36 - AI in Talent Acquisition Process00:50:39 - AI's Impact on Recruitment Trends 00:55:04 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

Marc and Henry O’Connell explore how AI-driven vocal biomarkers are transforming mental health, neurological screening, and global access to healthcare.About the Episode:This episode explores the extraordinary rise of voice-based diagnostics and the future of AI-driven healthcare. Marc and Henry examine how speech and language biomarkers—once considered speculative—are now validated clinical tools capable of detecting anxiety, depression, cognitive impairment, and early neurodegenerative conditions with remarkable accuracy. The discussion highlights how these non-invasive assessments are being deployed in hospitals, clinics, pharmacies, and even remote regions across the world.The conversation delves into breakthrough moments, from large-scale mental health assessments in Guatemala to the deployment of multilingual AI models capable of identifying emotional states across languages and dialects. Marc and Henry explore why sub-language vocal signals, controlled by the central nervous system, offer powerful insight into human health—far beyond what traditional word-based methods could achieve.Looking forward, the episode expands into the role of multimodal data, real-time healthcare monitoring, and AI-powered decision support systems. Together, Marc and Henry imagine a healthcare future where early diagnosis becomes routine, access becomes global, and AI serves as a force multiplier for overburdened medical systems. This vision points toward a world in which advanced diagnostics become as accessible as a smartphone app.About the Guest:Henry O’Connell is the CEO and co-founder of Canary Speech, the leading AI-powered health tech company that uses real-time vocal biomarkers to screen for mental health and neurological disorders. Henry has more than twenty years of experience in technology company leadership, both private and public. He has served on the board of directors for several technology companies in the U.S. and internationally. Among his medical diagnostic and technology experience, Henry worked for Hewlett-Packard, Gibson and the National Institutes of Health in neurological research.Website: https://canaryspeech.com/Linkedin: https://www.linkedin.com/in/henryjoconnell/Timestamps:00:01:09 - Episode Commences00:02:38 - AI for Mental Health Insights 00:09:48 -  Guatemala Mental Health Assessment Program  00:15:11 - Emotion Analysis via Vocal Cues  00:19:08 - Multilingual AI for Mental Health  00:22:38 - Health Monitoring Tools Development  00:29:14 - Vocal Biomarkers for Cognitive Health 00:34:25 - Non-Invasive Vocal Biomarker Test  00:39:02 - AI Healthcare Collaboration: Microsoft and Canary  00:41:54 - AI's Transformative Impact on Healthcare00:45:42 - Multimodal Diagnostics for Early Detection   00:51:32 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

Marc and Craig explore the past, present, and future of cybersecurity, diving into industry evolution, AI-driven threats, workforce challenges, and how individuals and businesses can protect themselves in an increasingly hostile digital landscape.About the Episode:Cybersecurity has transformed dramatically over the past three decades, and this episode unpacks that evolution through the lens of real industry experience. The conversation covers how the field grew from niche firewall roles in the 90s to a vast, mature ecosystem of specialties, and why demand for security expertise has created a surge in fractional and virtual CISO services. Marc and Craig explore the global explosion of cybercrime, the rise of organized criminal networks, and the increasing use of AI to enhance phishing, automate attacks, and orchestrate sophisticated extortion operations.The discussion also examines how traditional security practices are falling behind modern threats, from outdated password policies to ineffective punishment-based employee training. Craig explains why positive reinforcement, gamification, and continuous micro-learning are far more effective at building resilient organizations. The episode further dives into emerging challenges created by remote work, improper use of public AI tools, and the expanding dark-web ecosystem where stolen data circulates at massive scale.Looking forward, Marc and Craig discuss how AI will reshape cybersecurity defenses, the limitations of automation in human-centric interactions, and the need for individuals to adopt proactive protections such as credit freezes, passkeys, and password managers. The episode ultimately highlights why cybersecurity literacy is becoming essential for everyone—not just experts—as digital threats grow more frequent, more sophisticated, and more deeply intertwined with daily life.About the Guest:Craig M. Taylor is a seasoned cybersecurity expert and entrepreneur with nearly 30 years of experience managing risk across industries—from Fortune 500 corporations to SMBs. As the Co-Founder and CISO of CyberHoot, he has pioneered a positive reinforcement approach to cybersecurity education, helping businesses eliminate risky behaviors and build a culture of security awareness.Craig’s journey began with a Bachelor of Arts in Psychology (Honors) from the University of Guelph in 1994, blending an understanding of human behavior with the technical rigor of cybersecurity. Over his career, he has led enterprise security programs at Chase Paymentech, Vistaprint, and DXC Technology (formerly CSC), where he developed cutting-edge risk management frameworks, compliance programs, and cybersecurity roadmaps. His expertise spans incident response, governance, and security program development, making him a sought-after leader in the cybersecurity space.Linkedin: https://www.linkedin.com/in/craigmtaylor/Timestamps:00:01:09 - Episode Commences00:03:38 - Cybersecurity Career Evolution Overview 00:09:15 -  Cybersecurity's Growth and Challenges 00:13:28 - Phishing and Password Security Insights 00:17:09 - Sophisticated Cybercrime Operations 00:21:11 - Ransomware Negotiation and Cyber Workforce 00:24:27 - Positive Reinforcement in Cybersecurity Education00:36:40 - AI's Transformative Impact on Work 00:39:11 - Remote Work Cybersecurity Challenges 00:42:59 - AI Security: Preventing Data Breaches00:47:00 - Credit Freeze Protection Across Agencies  00:50:57 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

Marc and Nikolay explore the explosive growth of AI compute, the economic implications of rising energy demands, and how new financial models are giving investors access to the backbone of the AI revolution.About the Episode:The rapid acceleration of artificial intelligence has triggered an unprecedented demand for compute, reshaping global infrastructure and redefining the economics behind technological progress. In this episode, the conversation dives into how the market for GPUs is evolving, why power consumption has become one of the biggest constraints, and how innovation in both hardware and energy will determine the trajectory of future AI systems.The discussion takes a long-view perspective on what happens when compute becomes a commodity, how hyperscalers are influencing market dynamics, and why specialized chips are emerging as the next frontier. The episode also explores the broader economic impact of AI — from productivity gains to the hypothetical scenario of suddenly losing ChatGPT — offering a grounded yet optimistic lens on the next decade of AI-driven transformation.Listeners will walk away with a deeper understanding of the hidden infrastructure powering AI progress, why investor access has been limited until recently, and how new models are democratizing participation in the AI boom.About the Guest:Nikolay Filichkin is the Co-Founder and Chief Business Officer of Compute Labs, a cutting-edge infrastructure company transforming access to compute by financializing GPU assets. With over a decade of experience in technology, M&A, and strategic partnerships, Nikolay plays a key role in creating the financial ecosystem for compute as an asset class.Prior to Compute Labs, Nikolay spent 6+ years at Xsolla, where he led strategic partnerships and helped scale the company from 200 to over 1,200 employees. He drove five acquisitions, launched three new product lines, and helped expand Xsolla’s global presence across gaming and digital commerce.Nikolay is a builder and operator who understands how to take ideas from 0 to 1 and then scale them. At Compute Labs, he leads business development and investor relations, helping institutional allocators and partners gain access to the financial upside of AI infrastructure during this key period of growth.Linkedin: https://www.linkedin.com/in/nikolayfilichkin/Website: https://www.computelabs.ai/enTimestamps:00:01:09 - Episode Commences00:03:12 - AI Compute Trends and Hardware Evolution00:11:52 -  AI's Energy Demands and Solutions00:16:57 - AI's Impact on Energy Innovation00:19:17 - AI Infrastructure Investment Opportunity00:23:04 - US Investment Restrictions in AI Market00:28:13 - AI Infrastructure Investment Opportunities00:31:21 - AI Infrastructure and Economic Impact00:36:24 - AI's Economic Impact and Adoption00:40:20 - GPU Investment Digitization Platform 00:47:16 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/