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/

This episode explores Andy’s journey from globalization to AI, diving into how software development has evolved and what AI means for the industry’s future.

About the Episode:

The conversation traces Andy’s path into AI and software development, starting from his international business background and experiences in globalization to becoming a leader in AI-driven software development. Together, we examine how global outsourcing and digital transformation reshaped the software industry over the past three decades, from large corporations leveraging international talent to today’s growing need for small and mid-sized companies to access global expertise.

Andy shares insights on why treating software development as a transactional job often fails and how building strong frameworks around people, processes, and integration leads to better results. We then shift to the rise of AI in software development—its real capabilities, the hype, and the risks. From improving workflows to democratizing innovation, AI holds incredible promise, but Andy stresses the need for human oversight and unique value creation. The discussion ends with reflections on AI’s dual nature: a powerful tool for collaboration and democratization, but also a technology vulnerable to misuse.

For anyone curious about the future of developers, globalization’s role in tech, and how AI will shape the software industry, this episode offers both context and foresight.

About the Guest:

As CEO of Accelerance, Andy leads and advocates for the globalization and collaboration of great software teams with companies in search of talent, innovation and a globally-distributed extension of their engineering function and culture. Andy founded the ground-breaking nearshore software development services company, Isthmus Costa Rica. He began his global software services career as a division manager at Cognizant during their early formative years. Andy is originally from Sonoma, CA and has visited more than 60 countries. His passion for global travel, cultural appreciation and cross-border collaboration stems originally from his experience as a Peace Corps Volunteer in Costa Rica in the late 1980’s. Andy holds an MBA in International Business, Finance and Marketing from the Kellogg School of Management at Northwestern. He received a Bachelor’s degree in Business and Epistemology from the University of Denver after attending Phillips Academy in Andover, MA.Website: https://www.accelerance.com/

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

Timestamps:

00:01:07 - Episode Commences
00:03:12 - AI Career Journey: From Globalization to Tech
00:05:30 - Global Software Development Evolution
00:10:33 - Software Development Talent Integration Framework
00:21:15 - AI in Software Development Evolution
00:31:13 - AI's Dual Potential and Risks
00:39:24 - 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/

A deep dive into how AI is transforming construction project management by predicting delays, reducing risk, and reshaping the future of the industry.

About the Episode:

The construction industry is notorious for its delays, cost overruns, and risk-filled projects — but could AI finally change that? In this episode, Marc speaks with Alan about how his company uses machine learning and a database of over 2.5 million years of project data to predict and mitigate delays in large-scale construction. With real-world case studies, including helping a Boston hospital navigate COVID-related setbacks, Alan explains how AI-driven tools can improve contractor management, optimize bidding, and reimagine project planning.

The conversation also digs into deeper questions: why construction has been slow to adopt new technology, whether white-collar planning jobs are more at risk from AI than physical construction roles, and how automation could redefine what it means to be a project manager. If you’re curious about how AI is moving beyond digital industries to tackle one of the world’s most complex, physical sectors — this episode sheds light on where construction is heading and what it means for jobs, risks, and the built world around us.

About the Guest:

Alan Mosca is the Co-founder and Chief Technology Officer at nPlan, an AI company that forecasts the outcomes of construction, engineering, and infrastructure projects—reaching over $500 billion worth of projects every year. With a background in quantitative finance and machine learning, Alan brings deep technical expertise to one of the world’s most complex industries: construction project management. His work focuses on preventing the negative impacts of delays by applying AI to scheduling, planning, and risk assessment at scale.

Beyond his role at nPlan, Alan is also an active advisor, mentor, speaker, and board member, known for bringing together AI and business with a touch of humour. His insights connect the hard numbers of project data with the human factors of decision-making, making him a unique voice on the future of AI in physical industries.

Website: https://nplan.io/

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

Timestamps:

00:01:03 - Episode Commences

00:03:11 - AI in Construction Project Management

00:13:07 - Construction Project Management Challenges

00:17:35 - Challenges in Physical Project Management

00:21:00 - Improving Construction Bidding Accuracy

00:30:24 - AI-Driven Project Management Optimization
00:38:00 - AI Adoption in the Construction Industry

00:49:24- AI's Role in Artistic Professions

00:52:12 - 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/

This episode explores how AI is reshaping marketing—from AI-driven search engines and content optimization to Meta’s push for fully automated platforms—and what it means for the future of creative work.

About the Episode:

In this episode, my guest and I take a forward-looking view on how artificial intelligence is transforming the world of marketing and content creation. We explore the rise of AI search engines like ChatGPT that are already driving more traffic than Google for some companies, and what this shift means for businesses that depend on visibility and reach. The discussion also examines Meta’s vision of an AI-powered advertising platform—and whether independent creative agencies will be squeezed out by platforms that claim to “do it all.”

At the same time, we reflect on why AI should be seen not as a replacement for marketers, but as a tool to free them from repetitive, operational tasks so they can focus on strategy, storytelling, and creativity. We also look ahead to how social media may evolve as AI companions become more integrated into daily life, blurring the line between digital assistants and digital colleagues.

The big takeaway? Businesses that fail to adapt to AI-driven tools and ecosystems risk becoming irrelevant within a few short years. But for those who embrace the shift, the future holds the potential for a new golden age of creativity—where human ideas and AI systems work together to build campaigns that resonate on a deeper, more human level.

About the Guest:

Zack Holland is a Brooklyn-based startup founder, author, and go-to-market strategist rethinking the future of marketing. As the CEO and founder of Averi—the first AI-powered marketing manager—Zack is building tools that blend smart strategy, scalable content creation, and expert collaboration into one intuitive platform. A marketer turned AI entrepreneur, he’s passionate about how technology can elevate creativity, empower teams, and redefine how businesses grow.

Website: https://www.averi.ai/

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

Timestamps:

00:01:12 - Episode Commences

00:02:42 - AI Revolutionizes Marketing and Social Media

00:18:05 - Meta's AI System and Agency Impact

00:22:18 - AI Empowers Creative Marketing Campaigns

00:42:39 - 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/

A conversation on AI, product management, and the future of work—where Ken shares lessons from his journey and why repetitive jobs won’t survive the AI era.

About the Episode:

In today’s episode, we explore AI not just as a tool, but as a driver of product strategy and future markets. Ken shares his journey from early inspirations like War Games to leading roles in startups and AI product management, reflecting on the importance of mapping customer journeys and targeting inefficient processes. We look at how small businesses and major enterprises alike are adopting AI, what repetitive work is most at risk, and how anyone can begin experimenting with tools like Claude and ChatGPT. Beyond the technical aspects, this episode asks bigger questions: what kind of jobs will remain, how do we stay adaptable, and how can AI help us build—not just automate—the future?

About the Guest:

Ken Gavranovic is a seasoned technology executive, global keynote speaker, and member of Thinkers50 and the Forbes Council, renowned for helping brick-and-mortar businesses leverage AI and advanced technologies for immediate, impactful results. With over three decades of experience, Ken has collaborated with top venture firms, guiding over 18 successful exits, 35 mergers and acquisitions, and one IPO. Ken’s expertise spans iconic brands like Disney World and 7-Eleven, where he implemented technology solutions that improved customer engagement and operational efficiency. As the CEO of Product Genius, Ken is pioneering AI-driven tools that don’t just optimize decisions—they help businesses unlock new market opportunities and fix problems before they escalate.

Website: https://productgenius.guru/

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

Timestamps:

00:01:02 - Episode Commences

00:02:42 - Ken's Journey Into AI and Product

00:04:44 - AI's Impact on Business Adoption

00:15:20 - AI: Equalizer for Small Business

00:21:10 - Embracing AI for Business Transformation

00:28:53 - AI's Impact on Business Operations

00:36:45- Adapting to Technological Change

00:40:12 - AI Tools for Decision Making

00:42:39 - 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/

This episode explores how AI can reshape education, from personalized learning and rapid skill development to transforming the role of traditional credentials.

About the Episode:

Education is standing at a crossroads — and AI could be the biggest force shaping its future. In this episode, we explore how AI can move beyond simply digitizing the classroom to creating truly adaptive, personalized learning experiences. From helping students with disabilities overcome barriers to enabling rapid skill acquisition for an evolving job market, the potential impact is enormous.

We dive into the idea of shifting from search engines to recommendation engines in education, where AI doesn’t just provide information but actively matches students with the most relevant institutions, programs, and skills. We also examine the tension between traditional credentials and competency-based learning, and how AI could accelerate the shift.

Ultimately, this conversation is about more than just technology — it’s about integrating AI in a way that amplifies human values, strengthens essential human skills, and makes education more accessible, efficient, and relevant for the future.

About The Guest:

Ben Tasker is at the forefront of AI-driven education, shaping the future of skills-based learning as the Associate Dean of AI at one of the nation’s leading universities. With a unique blend of experience as a data scientist, AI product leader, and educator, Ben brings deep insight into how artificial intelligence is transforming education, workforce development, and the broader future of learning. During his time at Maine Health, Ben developed an AI system that identified 20% more at-risk cancer patients, significantly improving early detection and outcomes. He also automated critical reporting processes and introduced industry-standard coding practices - demonstrating how AI can be a force for social good, not just efficiency. Ben’s work spans multiple sectors, including healthcare and government, where he’s explored how AI can reduce wait times, address service backlogs, and enhance decision-making. His passion lies in applying AI to personalized applications.

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

Timestamps:

00:01:02 - Episode Commences
00:03:13 - Initial Startup on the path of Education with the help of AI

00:06:45 - Specialized Education by the impact of AI

00:10:36 - The Augmentation of AI In Job Market

00:15:55 - The impact of AI in tutoring & Institutional side

00:24:40 - The Aspects of Educational Institutions on the use case of AI

00:27:45- AI Integration Challenges in the Traditional World of Teaching

00:31:15 - The Shift of AI Towards the Concern of Education

00:36:40 - Education for all; How far has AI made it to the Future

00:44:00 - The Benefits Brought by AI to both Students & Teachers

00:49:11 - The Feelings of Learning Compared to the Past

00:53:19 - The Future of the Education, Learning & AI Integrity

00:55:40 - Episode Ends

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/