Future Tech And Foresight

Marc and Richard Savoie explore how AI, advanced optimization, and emerging technologies are transforming logistics, cutting emissions, and reshaping the future of global delivery systems.

About the Episode:

This episode dives deep into the evolution of logistics and the rapidly growing role of technology in reshaping how goods move across cities and continents. The discussion explores how optimization, artificial intelligence, cloud computing, and emerging quantum capabilities are unlocking efficiencies that dramatically reduce cost, congestion, and emissions — especially in the notoriously expensive and complex last mile of delivery. The conversation also examines why certain hyped innovations like drones may not scale, while invisible infrastructure technologies are quietly delivering massive real-world impact.

Beyond technology, the episode looks at the economic, societal, and environmental stakes of modern logistics. From reducing urban pollution and health risks to addressing labor shortages and enabling smarter electrification strategies, logistics innovation sits at the center of sustainability, economic resilience, and city life. Listeners will gain a thoughtful, forward-looking understanding of why logistics matters more than ever, and how intelligent systems could redefine what “efficient delivery” truly means.

This episode also explores practical implications such as reducing parking congestion, improving fleet efficiency, and leveraging agentic AI to dynamically optimize delivery routes in real-time. By addressing both operational and environmental challenges, the conversation provides a compelling vision for the next decade of logistics, showing how AI and advanced computation can transform delivery networks at scale.

About the Guest:

Richard Savoie is the co-founder and CEO of Adiona, which uses AI to power millions of efficient, lowest-carbon deliveries around the world for brands such as Coca-Cola and Amazon. Richard is a sought-after speaker and thought leader on transport, mobility and AI.

Website: https://www.adionatech.com/

Linkedin: https://www.linkedin.com/in/richsavoie/

Additional Notes:

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

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Twitter: https://twitter.com/FutureTech_Pod

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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 Commences
00:03:26 - Biocomputing: Living Neurons in Tech
00:09:27 - Biocomputer Development With Living Neurons 
00:19:05 -  Neuron Survival in Biocomputer Research
00:21:16 - Biocomputing Research and Investment Plans
00:24:19 - Ethical Implications of Biocomputing Organoids
00:29:55 - Biocomputer Development and Algorithms
00:33:01 - Biocomputing and Remote Lab Collaboration
00:40:34 - 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 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 Commences
00:03:32 - Journey Into Corporate Talent Acquisition
00:06:46 - Evolution of Talent Acquisition Processes 
00:16:28 -  Global Talent Acquisition Trends
00:30:56 - VR's Decline in Remote Collaboration
00:33:36 - AI in Talent Acquisition Process
00:50:39 - AI's Impact on Recruitment Trends 
00:55:04 - 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 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/

Marc and Elizabeth explore why researchers struggle to communicate complex ideas and how improving this skill is vital for securing funding, building public trust, and advancing future health tech like at-home diagnostics and space-derived medicine.

About the Episode:

Why do brilliant researchers often struggle to explain their ideas to the public or to investors? This episode tackles the critical communication gap in science and technology. We explore the perception that simplifying complex topics means "dumbing them down," a mindset that can hinder public trust in everything from vaccines to climate science, and ultimately impact policy and engagement. The discussion highlights how this communication skill is no longer optional—it's essential for securing federal grants, attracting venture capital, and successfully commercializing new technologies.

Beyond communication, the conversation explores the concrete future of personalized healthcare. The discussion highlights the rise of at-home diagnostic tools and their potential to create truly personalized electronic health records that can be securely shared with medical teams. While significant challenges in data privacy and regulation remain, the move toward decentralized clinical trials and wider acceptance of telemedicine is paving the way for a revolutionary shift in how we monitor our health.

Finally, the episode looks to the skies for medical innovation, examining the surprising link between space technology and healthcare. The extreme need for reliable, autonomous medical tools on space missions is driving advancements that could soon benefit rural and underserved communities back on Earth, proving that the benefits of exploration often have profound, grounded applications.

About the Guest:

Elizabeth Chabe is an expert in science marketing, bringing a unique blend of commercial and academic experience to the table. With a career spanning work with research universities, national labs, and technology transfer offices, Elizabeth has been instrumental in forming public-private-academic consortia and guiding university researchers in successfully commercializing their technologies.
Currently, Elizabeth works with larger commercial entities in the life sciences and diagnostics sectors, offering data-driven strategies for navigating complex markets and highly technical product launches. She’s the founder of High Touch Group (HTG), an agency providing
end-to-end marketing services for life sciences, diagnostics, and engineering companies. Elizabeth is also the author of "The Giant's Ladder: The Science Professional's Blueprint for Marketing Success," a comprehensive guide for science professionals looking to market their innovations effectively.

Website: https://hightouchgroup.com/

Linkedin: https://www.linkedin.com/in/eviselli/

Timestamps:

00:01:15 - Episode Commences
00:03:06 - Career Path in Healthcare Diagnostics
00:07:39 - Revolutionizing Healthcare with Diagnostics
00:14:40 - Enhancing Science Communication for Public Trust
00:18:04 - Effective Communication for Research Funding
00:28:32 - Modernizing Science Communication Strategies
00:38:53 - AI, Space, and Healthcare Innovations 
00:48:12 - 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 Galvin Widjaja unpack how AI-powered cameras are reshaping retail, security, and consumer behaviour — while raising new questions about privacy, bias, and digital ethics.

About the Episode:

In this episode, Marc speaks with Galvin Widjaja about the intersection of AI, business strategy, and human behaviour. From his unconventional career path — spanning banking, data analytics, and restaurant management — Galvin offers a grounded perspective on how data-driven insights can transform both operations and customer engagement.

They explore how his company’s camera-based AI systems interpret movement and context to improve safety and retail analytics while preserving privacy and avoiding facial recognition. The discussion touches on the evolution of surveillance technology, “T minus one” behavioural prediction systems, and how AI can act before incidents occur without crossing ethical lines.

Beyond the technology, the conversation dives deep into the moral landscape of AI — from echo chambers and social manipulation to the biases still baked into datasets today. This episode challenges listeners to think critically about the thin line between innovation and intrusion — and what a truly responsible AI future should look like.

About the Guest:

Galvin Widjaja is the founder and CEO of Lauretta AI, a privacy-first computer vision company that helps organizations understand human behavior in physical spaces without relying on identity or biometrics. Under his leadership, Lauretta has become a trusted partner to the U.S. Department of Homeland Security, TSA, U.S. Air Force, and major airport and defense agencies across Asia and North America. Galvin’s unconventional journey into AI began not in a lab, but behind the counter of a quick-service restaurant he once ran for his father in Singapore. After early career stints in consulting, banking, and tech, a pivotal decision to reconnect with his estranged father led him to manage three migrant-serving restaurants. There, he learned that systems are only as good as the people they serve. That insight shaped his approach to AI — one built not just on precision and scale, but on empathy, equity, and lived experience.
Born in Singapore and raised partly in Indonesia, Galvin grew up in entrepreneurial households that saw both massive growth and total collapse. Those early lessons in volatility, resilience, and human complexity now inform his mission to build AI that doesn’t just react — it understands. His work focuses on helping organizations move from static surveillance to dynamic understanding, and from reactive alerts to proactive decision-making — all while respecting the humanity of the people being observed.

Website: http://lauretta.io/

Linkedin: https://www.linkedin.com/in/galvinw/

Timestamps:

00:01:15 - Episode Commences
00:04:15 - AI, Security & Facial Recognition
00:11:40 - The Evolution of Tracking  & Monitoring
00:23:23 - Security Camera Roles in the Modern Era
00:33:10 - Today's Gen; focused on Doom Scroll or Paying attention
00:39:40 -  Human Behavior & Emotional Detections 
00:46:42 - Society's Dependency on System, not AI?
00:51:34 - 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 Fareed explore how autonomous robotics are reshaping industries — from policing and surveillance to manufacturing and mobility — and what this reveals about the next wave of AI-driven innovation.

About the Episode:

This episode uncovers how AI and robotics are converging to redefine the limits of automation. Fareed Al Hassawi shares his remarkable journey from building digital-twin systems in Dubai to developing autonomous police patrol vehicles capable of operating safely and intelligently in complex environments.

The conversation highlights the real-world challenges behind autonomy — funding, regulation, public acceptance — and the technical breakthroughs that make large-scale deployment possible. They dive into topics like NVIDIA’s role in the robotics ecosystem, on-premise security vs cloud risks, and how intelligent CCTV can enhance safety while respecting privacy.

More broadly, Marc and Fareed discuss how cities like Dubai serve as global testbeds for innovation and what it will take for autonomous ground vehicles and drones to coexist seamlessly. It’s a forward-looking discussion that blends engineering, ethics, and entrepreneurship — and shows how robotics could soon become as foundational as the internet itself.

About the Guest:

Fareed Aljawhari has been a pivotal figure in the technology sector since assuming the role of CEO at Micropolis Robotics in 2014. His leadership has propelled Micropolis, blending cutting-edge engineering prowess with strategic operational excellence to drive innovation in autonomous systems. Under Fareed’s stewardship, the executive team has focused on achieving sustainable growth and expanding global market presence.

During his tenure, Micropolis achieved a significant milestone with its Initial Public Offering and subsequent listing on the New York Stock Exchange (NYSE) under the ticker MCRP.

Fareed Aljawhari earned his Bachelor of Engineering (BE) in Architecture from Ajman University between 1998 and 2003, followed by a Masters in Design and Visual Communications from Wilmington University in 2004.

Website: https://www.micropolis.ai/

Linkedin: https://www.linkedin.com/in/fareed-aljawhari-1061a821/

Timestamps:

00:01:19 - Episode Commences
00:03:07 - Autonomous Vehicle Development Journey
00:10:20 - NVIDIA's Role in Autonomous Robotics
00:15:56 - Autonomous Robots in Police Surveillance 
00:22:00 - Intelligent CCTV for Public Safety
00:24:33 - Dubai's AI-Powered Police Future
00:30:39 - In-House Manufacturing for Innovation Control
00:37:02 - On-Premise Security Advantages Over Cloud 
00:40:04 - AGVs: Surveillance and Security Future
00:53:43 - 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 Nemo explore how smart mobility, emotionally responsive vehicles, and integrated urban transport systems are reshaping the future of cities and accessibility.

About the Episode:

In this episode, we dive into the evolution of smart mobility — from experimental vehicles to scalable, city-ready systems. Nemo shares how his journey from community member to director at Local Motors helped shape projects like the Ollie and informed a new vision for urban transportation focused on accessibility, safety, and efficiency.

The conversation highlights how mobility can become a utility, much like Wi-Fi or running water, unlocking greater freedom and opportunity for individuals and communities. Nemo explains how companies like Mosey are blending technology, community design, and regulatory collaboration to make smart mobility practical and affordable.

We also explore the rise of emotionally responsive vehicles and how human-centred design is transforming how people interact with technology in public spaces. From ADA compliance to V2X frameworks, this episode paints a forward-looking picture of how smart transit will expand accessibility, economic opportunity, and civic engagement.

About the Guest:

Nemo is a mobility innovator and former director at Local Motors, where he led projects that combined community-driven design with cutting-edge vehicle technology. He played a central role in developing the Ollie autonomous shuttle and in guiding the company’s pivot toward last-mile mobility solutions. Following Local Motors’ acquisition by Mosey, Nemo has focused on building integrated ecosystems that connect vehicles, software, and city infrastructure. Through his work, Nemo continues to advance the vision of accessible, sustainable, and human-centred smart transportation.

Website: https://www.mozeealong.com/

Linkedin: https://www.linkedin.com/in/nemodesigns/

Timestamps:

00:01:16 - Episode Commences
00:03:00 - Smart Mobility and Utility Evolution
00:11:30 - Urban Mobility Integration Strategy
00:26:45 - Urban Mobility Safety Vehicle Design
00:33:04 - Humanizing Smart City Interactions
00:37:23 -  V2X Framework for Government Integration 
00:41:31 - Mosey's Impact on Accessibility
00:45:26 - Smart Transit and Mobility Future 
00:50:40 - 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/