Are rising AI workloads pushing your infrastructure to the limit—and leaving you wondering whether cloud, edge, or on-prem is the smarter investment? As companies rush to deploy generative AI and analytics everywhere, leaders face mounting pressure to balance performance, cost, and reliability. This episode explores the hidden expenses of AI infrastructure and why simplicity, scalability, and smart architecture are key to long-term success.

In this episode of Full Tech Ahead, host Amanda Razani interviews Bruce Kornfeld, Chief Product Officer at StorMagic, about how organizations can optimize edge and on-prem environments to support AI without breaking the bank. Kornfeld shares practical insights on building simple, reliable systems, avoiding over-engineering, and using hyperconverged infrastructure to lower costs and latency. He also discusses the evolution of AI at the edge—from retail use cases to hybrid models that run inference locally while training in the cloud—and offers actionable guidance for IT leaders looking to achieve ROI and agility in their AI strategy.

TIMESTAMPS

[00:00] Introduction and Guest Overview

[01:16] Why Some Organizations Stay On-Prem

[02:33] Simplicity, Cost, and Reliability at the Edge

[04:17] Aligning Teams and Avoiding Miscommunication

[06:06] Cloud vs. Edge Architecture Decisions

[08:02] The Growing Role of AI in Infrastructure Planning

[08:27] Measuring ROI and Building a Sustainable Edge Strategy

[10:25] Edge AI in Action—Retail Use Cases

[12:33] Hybrid AI: Blending Cloud Learning and Edge Inferencing

[14:57] The Core Takeaway – Simple, Smart, and Scalable Edge

Quotes

• “Simplicity is king. If you try to build the edge like a data center, you’ll overspend and overcomplicate.”
• “The cloud can’t solve every problem—sometimes you need real-time performance that only the edge can deliver.”
• “AI doesn’t have to mean massive GPU farms. Smart architecture lets you do more with less.”
• “Leave the big models in the cloud; bring the intelligence you need to the edge.”
• “Building on-prem infrastructure for the edge doesn’t have to be expensive or complicated.”

Takeaways

1. Simplify your infrastructure: Avoid over-engineering; focus on easy, reliable systems suited for edge environments.
2. Adopt hybrid AI models: Keep training in the cloud but run inference locally for faster, cost-effective results.
3. Leverage HCI technology: Combine compute, storage, and networking into smaller, more efficient systems.
4. Measure total cost of ownership: Use ROI and TCO modeling tools (like stormagic.com/tco) before deploying AI infrastructure.

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

AI and cloud computing are reshaping video surveillance, but are we prepared for what’s ahead? Traditional DVR systems are being replaced by intelligent, data-driven cloud platforms. Businesses and cities now face tough questions about privacy, data ownership, and the role of AI in predicting human behavior. How do we balance innovation with responsibility as technology becomes more powerful and accessible?

In this episode of Full Tech Ahead, host Amanda Razani interviews Greg Stone, Product Marketing Manager at Luminys. With over two decades of experience in physical security and cloud-based systems, Greg reveals how the industry has evolved from analog monitoring to predictive analytics. He explains how AI and metadata are transforming not only safety but also business operations and smart city development.

TIMESTAMPS
[0:02] Greg Stone’s Background and Role at Luminys
[1:58] How AI and Cloud Technology Are Changing Surveillance
[3:18] The Rise of Interactive and Predictive Search
[4:06] Early Detection and Preventive Security
[5:24] Privacy Concerns in a Data-Driven World
[6:05] The Growing Importance of Metadata
[7:25] Smart Cities and Their Positive Community Impact
[8:58] Balancing Safety, Privacy, and Legal Boundaries
[10:14] Commercial Use Cases Beyond Security
[12:02] Facial Recognition Regulations and Alternatives
[13:01] The Future of Predictive Video Surveillance

Quotes

• ‘’AI depends on accurate data, and the cloud is the engine that powers it. The more reliable your data, the better your AI performs.” – Greg Stone
• “Metadata has become the foundation of modern surveillance. It allows organizations to move from reactive monitoring to predictive insights.” – Greg Stone
• “Privacy isn’t just about avoiding cameras. It’s about making sure your data is used responsibly, not misused or manipulated to create false narratives.” – Greg Stone

Takeaways

• Adopt AI-driven cloud solutions to move from reactive surveillance to proactive protection.
• Treat metadata as a strategic resource that fuels predictive analytics and smarter operations.
• Address privacy early by creating transparent policies for data storage and usage.
• Prepare for the next decade of security by integrating predictive technologies that detect risks before they escalate.

Thanks to Luminys for sponsoring this episode
Visit https://www.luminyscorp.com/

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

Legacy software keeps businesses running, but updating it is slow, risky, and expensive. What if AI could read, map, and modernize millions of lines of code in days instead of months? How can organizations move faster without breaking what already works?

In this episode of Full Tech Ahead, Amanda Razani talks with Ray Ploski, Vice President of Corporate Strategy and Marketing at CoreStory. Ray shares how his team is using AI to unlock the hidden value inside decades-old systems through their innovative “code-to-spec” technology. Drawing from years of experience in software strategy and AI-driven transformation, he explains how CoreStory is helping enterprises modernize complex codebases with speed, accuracy, and confidence—turning legacy software into a foundation for future growth.

TIMESTAMPS

[0:02] Ray Ploski’s Role and CoreStory’s Rebrand

[0:39] How “Code-to-Spec” Changes Software Development

[2:37] The Challenge of Legacy Systems and Modernization

[3:55] Why Context and Business Continuity Matter

[5:59] CoreStory’s AI-Powered Code Intelligence

[7:12] The Limits of ChatGPT for Enterprise-Grade Code

[9:11] Natural Language Programming: The Future of Development

[10:30] Preparing Businesses for the Shift to Spec-Driven Development

[11:24] Final Thoughts on AI’s Role in Modernization

[12:20] Closing Reflections and Takeaway

Quotes

• “Our ability to generate code outpaces our ability to understand it. CoreStory turns code into knowledge.” – Ray Ploski
• “Speed means nothing if it breaks what works. You can modernize fast, but if your business continuity suffers, you’ve lost the point of modernization entirely.” – Ray Ploski
• “AI hallucinations are real and dangerous. You need confidence, accuracy, and visibility into what AI can’t know.” – Ray Ploski
• “The next generation of software will use natural language. Systems will code themselves from clear goals.” – Ray Ploski

• Use AI to understand and document legacy systems before making changes.
• Prioritize accuracy and confidence in AI results over speed and automation.
• Prepare teams for a future where natural language drives software creation.

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

AI is transforming cybersecurity, but are we ready for both the opportunities and the threats? Hackers are already using AI to create advanced phishing scams, deep fakes, and even AI-powered ransomware. At the same time, companies are rushing to deploy AI without fully understanding the risks. How can leaders protect their organizations from adversaries while still leveraging AI to gain an edge?

In this episode of Full Tech Ahead, host Amanda Razani interviews Steve Orrin, Federal CTO at Intel, who has spent decades at the intersection of technology, government, and cybersecurity. Steve shares how adversaries are weaponizing AI, what businesses must do to secure their AI systems, the hidden dangers of shadow IT, and what the future of quantum computing means for security. With his deep experience in security R&D, government partnerships, and enterprise adoption, Steve gives practical strategies for defending against today’s threats and preparing for tomorrow’s.

Timestamps:

[00:02] Steve Orrin's Background and Role at Intel
[06:23] Impact of AI on Cybersecurity
[11:02] Addressing Shadow IT and Employee Training
[14:36] Combating Deep Fakes and Phishing
[18:02] Future of Quantum Computing and Post-Quantum Cryptography
[23:08] Key Takeaways for AI and Quantum Security

Key Quotes

• “Adversaries are already using AI. We’ve seen deep fakes, advanced phishing, and even AI-powered ransomware designed to evade detection.” – Steve Orrin
• “If you only think about securing AI at the end of the lifecycle, you’re already too late.” – Steve Orrin
• “You can’t stick your head in the sand. Banning tools like ChatGPT doesn’t work. You need training, policy, and controlled adoption.” – Steve Orrin
• “It’s not about being ready when the quantum computer arrives. It’s about protecting data today, because attackers are harvesting it now to decrypt later.” – Steve Orrin

Key Takeaways

1. Build AI security in from the start by validating data, securing infrastructure, and involving compliance teams.

2. Manage shadow AI use with training, policies, and secure in-house deployments instead of outright bans.

3. Stay skeptical of digital content—verify suspicious messages and use detection methods for deep fakes.

4. Prepare now for quantum threats by inventorying cryptographic systems and planning migration to post-quantum cryptography.

Conclusion

AI is reshaping cybersecurity on all sides, and leaders cannot afford to wait. From combating AI-enabled adversaries to preparing for the quantum future, Steve Oren’s insights show how to approach these challenges with strategy and foresight.

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

Could human error in trucking be drastically reduced, making highways a safer place? In this episode of Full Tech Ahead, Amanda Razani sits down with Bart Teeter, Director of Fleet and Operational Safety at Bot Auto, to explore the cutting-edge world of autonomous trucking. With 26 years in the Texas Highway Patrol, Bart brings unmatched expertise in safety, regulation, and commercial vehicle operations. Today, he applies that experience to level four autonomous trucks, aiming to make highways safer, more efficient, and more reliable. Bart’s journey from law enforcement to tech startup is inspiring, showing how innovation and experience can intersect to solve real-world problems.

Timestamps
[03:25] State of autonomous vehicles
[05:55] Goal of driverless trucks
[08:54] Challenges in autonomous trucking
[13:21] Experience with autonomous ride-sharing
[16:34] Cybersecurity concerns
[18:51] Regulatory challenges across the U.S.
[23:10] Impact on trucking jobs
[26:36] Key takeaways
[28:52] Conclusion

Quotes:

• “95% of those crashes somebody did something wrong. Humans are very good drivers until they’re not, and that’s where we have a mess.”
• “Our trucks will never drive drunk, tired, distracted, or angry. They are 100% focused on the driving task, 100% of the time.”
• “Every day, at least one person has lost their life on Texas highways. Autonomy gives us a chance to save those lives.”
• “We’re not taking trucking jobs. We’re filling gaps and creating new opportunities for modern truck operations.”

Key Takeaways:

1. Autonomous trucking can reduce human error and improve highway safety.
2. Regulatory alignment is essential for scaling autonomous operations nationwide.
3. Public trust and cybersecurity are critical to adoption.
4. Career opportunities in trucking are evolving, creating tech-focused roles alongside traditional driving positions.

Links Mentioned
Bot Auto: https://www.botauto.com
Waymo autonomous rides: [https://www.waymo.com](https://www.waymo.com)

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

Are you curious how next-gen space technology could transform life on Earth? Do you wonder why computing in space has lagged behind and how solving it could unlock breakthroughs in autonomy, manufacturing, and even pharmaceuticals? In this episode of Full Tech Ahead, host Amanda Razani talks with Rick Ward, Founder and CTO of OrbitsEdge, about bringing modern computing to space.From radiation shielding and thermal management to onboard AI analytics and in-space crystal growth, Rick explains how OrbitsEdge is bringing modern computing to orbit — and what that means for Earth observation, satellite servicing, and next-generation materials. If you’ve ever wondered how space innovation could change industries from biotech to semiconductors — and why falling launch costs might make it all possible sooner than you think — this episode is for you.

[00:02] OrbitsEdge's Origins and Vision

[03:58] Thermal Management and Market Opportunities

[08:14] Remote Proximity Operations and In-Space Manufacturing

[12:52] Cost-Effectiveness and Future Prospects

[19:20] Impact of Lower Launch Costs

[30:25] The Future of Space Technology

• “We’re either never going to get to autonomy with old space computers, or we’ll do it in 2050 when it’s too late—so I wanted to fly modern computers in space now.”
• “If we can process the data right at its point of origin in space, we’re not shipping haystacks back to Earth—we’re just sending the needles.”
• “Lower launch costs will transform space from a Formula One race car to a Honda Accord—less flashy, but far more feasible and scalable.”

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

Are you curious about how colleges and universities are preparing students for the rapidly evolving tech workforce? In this episode of Full Tech Ahead, host Amanda Razani sits down with Scarlet Clouse, Dean of the College of Education and Director of the Kay Bailey Hutchinson Institute at Angelo State University, to discuss the explosion of AI, cybersecurity, and other cutting-edge technologies transforming industries. From launching an AI Center of Excellence and offering free Coursera certifications to running immersive youth programs, such as code camps, robotics camps, and cybersecurity expos, Scarlet shares how ASU is creating workforce-ready graduates while inspiring the next generation of tech leaders. Whether you’re a student, a career pivoter, or fascinated by the future of technology and education, this episode offers a roadmap to thriving in the AI-driven world.

[00:02] AI and Technology Trends in Higher Education

[03:01] Announcement of the AI Center of Excellence

[04:06] Coursera Courses and Continuing Education

[06:39] Future Careers in Technology

[08:49] Youth Engagement in Technology Programs

[11:04] Importance of Community and Youth Outreach

[12:30] ASU Scholar Program and Internships

[14:06] Increasing Women in Technology Careers

[17:02] Advice for New Graduates in Tech Careers

[18:43] Final Thoughts and Encouragement

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/

What if the same innovations making cars self-driving could also make flying safer, faster, and more accessible? For decades, aviation has been bound by the limits of human workload, urban congestion, and safety concerns. But now, a new era is dawning—one where autonomous technologies may redefine how we travel in the skies.

In this episode of Full Tech Ahead, host Amanda Razani sits down with Sapan Shah, Senior Director of Product Management at Honeywell Aerospace. With years of experience leading product innovation, Sapan is at the forefront of building the “brains and muscles” of autonomous flight—from sensors and avionics to certified systems that prioritize trust and safety. Together, they unpack the opportunities, challenges, and revolutionary potential of autonomous aviation, from urban air taxis to reducing pilot workload.

If you’ve ever wondered:

• Will we really see air taxis in our lifetime?
• What makes autonomy in aviation safer—not riskier?
• How close are we to fully automated flights?

TIMESTAMPS:

[00:00] Introduction to Sapan Shah and Honeywell Aerospace
[04:30] Defining Autonomy in Aviation and Why It Matters
[09:10] Urban Air Mobility and the Promise of Air Taxis
[13:50] Reducing Pilot Workload Through Assistive Autonomy
[18:20] Certification, Trust, and Safety in Autonomous Systems
[22:45] Comparing Ground Autonomy to Aviation Autonomy
[27:10] Building Public Trust in Autonomous Aviation
[31:00] AI, Data, and Real-Time Decision Making in Flight
[36:20] Challenges and Barriers to Industry Adoption
[41:15] Looking Ahead: The Future of Flight Autonomy

Quotes:

• "Autonomy in aviation isn’t about a sky full of buzzing drones—it’s about structured, trustworthy automation that reduces pilot workload and enables safer, smarter flight.” – Sapan Shah
• “Our vision for air taxis is simple: complete a 100-mile journey in 45 minutes or less. That’s life-changing for anyone stuck in urban congestion.” – Sapan Shah
• “At Honeywell, we build both the brains and the muscles of autonomy—sensors to see, computers to think, and actuators to act—all delivered in a certified, trustworthy way.” – Sapan Shah
• “You can pull a car over if something goes wrong. You can’t do that mid-air. That’s why aviation autonomy demands higher safety margins.” – Sapan Shah

Takeaways:

1. Autonomy is assistive before it’s independent. It starts by reducing pilot workload, not replacing pilots outright.
2. Safety and certification come first. In aviation, trust is built on reliability and compliance—not iteration after launch.
3. Urban air mobility could redefine cities. Air taxis and regional flights will cut congestion and change how we move.
4. Adoption is gradual but inevitable. Autonomy will first support, then eventually transform, the way aviation operates.

Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/