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 Commences
00:02:38 - 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 Healthcare
00:45:42 - Multimodal Diagnostics for Early Detection
00:51:32 - Episode Concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: 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 Commences
00:03:38 - 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 Education
00:36:40 - AI's Transformative Impact on Work
00:39:11 - Remote Work Cybersecurity Challenges
00:42:59 - AI Security: Preventing Data Breaches
00:47:00 - Credit Freeze Protection Across Agencies
00:50:57 - Episode Concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: 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/en

Timestamps:

00:01:09 - Episode Commences
00:03:12 - AI Compute Trends and Hardware Evolution
00:11:52 - AI's Energy Demands and Solutions
00:16:57 - AI's Impact on Energy Innovation
00:19:17 - AI Infrastructure Investment Opportunity
00:23:04 - US Investment Restrictions in AI Market
00:28:13 - AI Infrastructure Investment Opportunities
00:31:21 - AI Infrastructure and Economic Impact
00:36:24 - AI's Economic Impact and Adoption
00:40:20 - GPU Investment Digitization Platform
00:47:16 - Episode Concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: https://www.linkedin.com/company/futuretechandforesight/