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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/

Stay Updated:

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.

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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!

Stay Updated:

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