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In this episode of the Eye on AI podcast, we explore the cutting-edge world of AI-powered autonomy with Nathan Michael, CTO of Shield AI.

Nathan shares his journey from academia to leading one of the most innovative companies in defense technology, revealing how Shield AI is transforming autonomous systems to operate in the most challenging environments.

Throughout the episode, Nathan dives into Shield AI's groundbreaking technologies, including the revolutionary Hivemind platform, which enables drones and uncrewed jets to think, adapt, and act independently—even in GPS-denied and communication-jammed conditions. He explains how these systems are deployed across defense and commercial applications, reshaping intelligence, surveillance, and reconnaissance missions with unprecedented precision and resilience.

We also discuss the future of warfare and technology, from the commoditization of AI-driven autonomy to the ethical and strategic considerations of deploying these systems at scale. Nathan offers insights into how rapid iteration cycles and resilient intelligence will define the next era of defense innovation, ensuring mission success in increasingly complex scenarios.

Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest advancements in AI, robotics, and the future of autonomous systems!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Shield AI and Hivemind

(03:02) Nathan Michael's journey to Shield AI

(06:07) Shield AI's mission and technology overview

(10:18) VBAT: A versatile tail-sitter aircraft

(12:44) Hivemind's swarm capabilities and applications

(14:32) Ethics and societal guardrails for autonomous systems

(17:24) Combat applications of quadcopters

(19:12) Navigating and mapping unknown environments

(20:38) Use of VBAT in Ukraine operations

(22:10) Intelligence gathering and mission versatility

(24:42) Transforming warfare with AI-driven autonomy

(28:47) Teaming and communication in autonomous swarms

(32:29) Communication networks in jammed conditions

(35:34) Coordinated exploration with autonomous systems

(38:13) Exploring buildings with quadcopter teams

(40:57) Crewed-uncrewed teaming in modern combat

(43:28) Global competition in AI and autonomy

(46:03) Use of autonomous drones in Ukraine

(50:28) Shield AI's vision: Proliferation of resilient intelligence

(55:26) Expanding AI autonomy to commercial applications

This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS.

Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line.

In this episode of the Eye on AI podcast, we delve into the role of AI in product management with Christian Marek, VP of Product at Productboard.

Christian shares his journey in shaping the future of product management, exploring how AI is changing the way we ideate, build, and deliver customer-centric products.

Throughout the episode, Christian unveils Productboard's innovative AI-driven solutions, including the groundbreaking Productboard Pulse, which accelerates ideation and discovery by aggregating and analyzing customer feedback. He explains how AI enables product managers to prioritize features, write detailed specifications, and align product roadmaps with organizational goals—all while driving ROI and delivering exceptional customer experiences.

We also discuss the evolution of product management, from its origins to its rise as a mainstream discipline in organizations of all sizes. Christian offers insights into how AI tools are reshaping the product management landscape, making it more efficient, collaborative, and impactful than ever before.

Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, product innovation, and customer-centric technology!

Checkout Productboard Pulse: https://www.productboard.com/product/voice-of-customer/

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction

(03:18) What is Productboard?

(05:04) Christian Marek’s Journey

(07:20) Defining Product Management

(08:45) How Productboard Was Born

(10:05) Transforming Product Management

(14:32) Exploring Use Cases: Existing and New Product Development

(18:13) Scaling Productboard

(20:33) Managing Complex Projects Without Productboard

(24:59) Industries Using Productboard

(26:29) Why Startups Benefit from Productboard

(29:25) Closing the Feedback Loop on Product Management

(33:16) Non-Digital Applications of Productboard

(36:27) AI Model Selection

(39:48) The Future of Product Management with AI

(43:30) C-Suite Engagement and ROI with Productboard

(45:15) How to Get Started with Productboard

This episode is sponsored by Oracle.

Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you’re saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.

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In this episode of the Eye on AI podcast, Tariq Shaukat, CEO of Sonar, joins Craig Smith to explore the future of code quality, security, and AI’s role in software development.

Tariq shares his journey from leading roles at Google Cloud and Bumble to helming Sonar, a company disrupting code assurance for developers worldwide. With over 7 million users and support for 30+ programming languages, Sonar has become a critical tool in ensuring clean, maintainable, and secure code.

We dive into Sonar’s innovative AI Code Assurance Workflow, which integrates seamlessly with generative AI tools like Copilot and Codium. Tariq discusses how Sonar addresses the challenges of AI-generated code, tackling issues like security vulnerabilities, maintainability problems, and the accountability crisis in today’s coding landscape.

Tariq also unpacks the importance of hybrid deterministic and AI-driven approaches, the role of design and architecture in modern software development, and how Sonar is helping companies manage tech debt across billions of lines of code.

With Sonar’s recent enterprise-grade SaaS launch and commitment to reducing developer toil, this episode offers valuable insights for developers, tech leaders, and anyone interested in the evolving intersection of AI and software engineering.

Don’t forget to like, subscribe, and hit the notification bell for more discussions on AI, technology, and innovation!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Tariq Shaukat and Sonar

(01:23) Overview of SonarQube

(03:03) Deterministic Systems and AI Integration

(07:36) Challenges of AI-Generated Code

(10:12) Early Issue Detection in Development

(12:33) Accountability in AI Code Generation

(16:20) Importance of Rigorous Code Reviews

(19:34) Managing Tech Debt with Continuous Improvement

(22:16) Why Sonar Focuses on Integration

(25:08) Reviewing Billion-Line Code Bases with Sonar

(29:37) Tailoring Sonar for Specific Codebases and Workflows

(32:40) Avoiding Overwhelming Developers with Noise

(37:49) Governance and Managing Complex Codebases

(40:50) Addressing Tech Debt in Legacy Systems

(45:07) Sonar’s Open-Source Model and Philosophy

(48:11) What’s Next for Sonar

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.

In this episode of the Eye on AI podcast, Matt Panousis, Co-Founder & COO @ LipDub AI, shares the journey behind the platforms a cutting-edge AI-powered lip-syncing tool revolutionizing the dubbing industry.

Matt joins Craig to explore the future of content localization, the evolution of LipDub, and how generative AI is transforming how audiences experience video content worldwide.

As a leader in AI and visual effects, Matt discusses how LipDub integrates advanced AI to enable real-time lip-syncing for dubbed audio, making Hollywood-quality dubbing affordable and accessible. From processing hours of video footage to handling complex, dynamic scenes, LipDub is empowering content creators to reach global audiences like never before.

We explore the challenges of creating realistic lip movements, the importance of mouth internals, textures, and fidelity, and how tools like LipDub stand apart from competitors like Rasque AI. Matt also introduces Vanity AI, LipDub’s sister technology for automated digital makeup and de-aging, used by MARZ for high-end visual effects work.

Learn how LipDub is redefining the possibilities of content localization with AI and what the future holds as this technology evolves.

Don’t miss this deep dive into AI-powered innovation with Matt Panousis. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction & Matt Panousis Background
(02:45) Origins of MARZ and LipDub
(04:20) LipDub vs. Competitors
(06:15) Integration with Dubbing Solutions
(08:00) LipDub Technical Process
(10:20) Competition
(12:20) Time and Cost
(14:00) Target Markets and Use Cases
(19:00) Future Developments
(22:00) Translation and Timing Challenges
(28:00) Ethical Concerns and Misuse
(30:30) Digital Watermarking
(32:25) Real-World Examples and Future Products
(34:00) Team Building and Research
(37:00) Building the Advisory Board
(38:10) Securing Research Talent
(40:00) Funding and the Board
(40:35) Future Products

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.

In this episode of the Eye on AI podcast, Matt Panousis, Co-Founder & COO @ LipDub AI, shares the journey behind the platforms a cutting-edge AI-powered lip-syncing tool revolutionizing the dubbing industry.

Matt joins Craig to explore the future of content localization, the evolution of LipDub, and how generative AI is transforming how audiences experience video content worldwide.

As a leader in AI and visual effects, Matt discusses how LipDub integrates advanced AI to enable real-time lip-syncing for dubbed audio, making Hollywood-quality dubbing affordable and accessible. From processing hours of video footage to handling complex, dynamic scenes, LipDub is empowering content creators to reach global audiences like never before.

We explore the challenges of creating realistic lip movements, the importance of mouth internals, textures, and fidelity, and how tools like LipDub stand apart from competitors like Rasque AI. Matt also introduces Vanity AI, LipDub’s sister technology for automated digital makeup and de-aging, used by MARZ for high-end visual effects work.

Learn how LipDub is redefining the possibilities of content localization with AI and what the future holds as this technology evolves.

Don’t miss this deep dive into AI-powered innovation with Matt Panousis. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!

Stay Updated:

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction & Matt Panousis Background
(02:45) Origins of MARZ and LipDub
(04:20) LipDub vs. Competitors
(06:15) Integration with Dubbing Solutions
(08:00) LipDub Technical Process
(10:20) Competition
(12:20) Time and Cost
(14:00) Target Markets and Use Cases
(19:00) Future Developments
(22:00) Translation and Timing Challenges
(28:00) Ethical Concerns and Misuse
(30:30) Digital Watermarking
(32:25) Real-World Examples and Future Products
(34:00) Team Building and Research
(37:00) Building the Advisory Board
(38:10) Securing Research Talent
(40:00) Funding and the Board
(40:35) Future Products

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.

NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.

In this episode of the Eye on AI podcast, we explore the cutting-edge world of semiconductor innovation and its role in the future of artificial intelligence with Kai Beckmann, CEO of Merck KGaA.

Kai takes us on a journey into the heart of semiconductor manufacturing, revealing how next-generation chips are driving the AI revolution. From the complex process of creating advanced chips to the increasing demands of AI on semiconductor technology, Kai shares how Merck is pioneering materials science to unlock unprecedented levels of computational power.

Throughout the conversation, Kai explains how AI’s growth is reshaping the semiconductor industry, with innovations like edge AI, heterogeneous integration, and 3D chip architectures pushing the boundaries of performance. He highlights how Merck is using artificial intelligence to accelerate material discovery, reduce experimentation cycles, and create smarter, more efficient processes for the chips that power everything from smartphones to data centers.

Kai also delves into the global landscape of semiconductor manufacturing, discussing the challenges of supply chains, the cyclical nature of the industry, and the rapid technological advancements needed to meet AI’s demands. He explains why the semiconductor sector is entering the "Age of Materials," where breakthroughs in materials science are enabling the next wave of AI-driven devices.

Like, subscribe, and hit the notification bell to stay tuned for more episodes!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction

(02:48) Merck KGaA

(05:21) Foundations of Semiconductor Manufacturing

(07:57) How Chips Are Made

(09:24) Exploring Materials Science

(13:59) Growth and Trends in the Semiconductor Industry

(15:44) Semiconductor Manufacturing

(17:34) AI’s Growing Demands on Semiconductor Tech

(20:34) The Future of Edge AI

(22:10) Using AI to Disrupt Material Discovery

(24:58) How AI Accelerates Innovation in Semiconductors

(27:32) Evolution of Semiconductor Fabrication Processes

(30:08) Advanced Techniques: Chiplets, 3D Stacking, and Beyond

(32:29) Merck’s Role in Global Semiconductor Innovation

(34:03) Major Markets for Semiconductor Manufacturing

(37:18) Challenges in Reducing Latency and Energy Consumption

(40:21) Exploring New Conductive Materials for Efficiency

This episode is sponsored by Shopify.

Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you’re selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.

Sign up for a $1 per month trial period at http://shopify.com/eyeonai

In this episode of the Eye on AI podcast, Andrew D. Feldman, Co-Founder and CEO of Cerebras Systems, unveils how Cerebras is disrupting AI inference and high-performance computing.

Andrew joins Craig Smith to discuss the groundbreaking wafer-scale engine, Cerebras’ record-breaking inference speeds, and the future of AI in enterprise workflows. From designing the fastest inference platform to simplifying AI deployment with an API-driven cloud service, Cerebras is setting new standards in AI hardware innovation.

We explore the shift from GPUs to custom architectures, the rise of large language models like Llama and GPT, and how AI is driving enterprise transformation. Andrew also dives into the debate over open-source vs. proprietary models, AI’s role in climate mitigation, and Cerebras’ partnerships with global supercomputing centers and industry leaders.

Discover how Cerebras is shaping the future of AI inference and why speed and scalability are redefining what’s possible in computing.

Don’t miss this deep dive into AI’s next frontier with Andrew Feldman.

Like, subscribe, and hit the notification bell for more episodes!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Intro to Andrew Feldman & Cerebras Systems

(00:43) The rise of AI inference

(03:16) Cerebras’ API-powered cloud

(04:48) Competing with NVIDIA’s CUDA

(06:52) The rise of Llama and LLMs

(07:40) OpenAI's hardware strategy

(10:06) Shifting focus from training to inference

(13:28) Open-source vs proprietary AI

(15:00) AI's role in enterprise workflows

(17:42) Edge computing vs cloud AI

(19:08) Edge AI for consumer apps

(20:51) Machine-to-machine AI inference

(24:20) Managing uncertainty with models

(27:24) Impact of U.S.–China export rules

(30:29) U.S. innovation policy challenges

(33:31) Developing wafer-scale engines

(34:45) Cerebras’ fast inference service

(37:40) Global partnerships in AI

(38:14) AI in climate & energy solutions

(39:58) Training and inference cycles

(41:33) AI training market competition

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.

In this episode of the Eye on AI podcast, Varun Mohan, Co-Founder and CEO of Codeium, shares the journey behind building one of the most innovative AI-powered coding tools available today.

Varun joins Craig Smith to explore the future of software development, the evolution of Codeium, and how generative AI is revolutionizing the way developers interact with codebases.

As a leader in AI and software engineering, Varun discusses how Codeium integrates advanced AI to enable real-time code completion, refactoring, and even end-to-end application building. From processing billions of lines of code to making complex legacy systems like COBOL more accessible, Codeium is empowering developers to work smarter and faster.

We delve into the challenges of managing massive codebases, the importance of maintaining security and self-hosted solutions, and how tools like Codeium stand apart from competitors like Copilot and CodeWhisperer. Varun also introduces **Cascade**, the AI assistant within Codeium’s custom IDE, Windsurf, which merges human ingenuity with AI's reasoning capabilities for a seamless coding experience.

Other fascinating topics include the role of AI in onboarding developers to complex systems, its ability to handle rare programming languages, and how Codeium is reshaping the software lifecycle from design to deployment.

Learn how Codeium is redefining the possibilities of software development with AI, and what the future holds as this technology continues to evolve.

Don’t miss this deep dive into AI-powered innovation with Varun Mohan. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Varun Mohan and Codeium

(05:32) Introducing Codeium: AI-powered coding revolution

(08:42) Competing with Copilot and CodeWhisperer

(11:46) Using Codeium to streamline software development

(14:01) Features of Cascade: Refactoring and automation

(17:26) Building applications from scratch with Codeium

(22:00) Enterprise adoption and recognition by JPMorgan Chase

(23:14) The pivot to Codeium and lessons learned

(24:32) The vision for Codeium’s future