Eye On A.I.

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 explore the world of AI inference technology with Rodrigo Liang, co-founder and CEO of SambaNova Systems.   Rodrigo shares his journey from high-performance chip design to building SambaNova, a company revolutionizing how enterprises leverage AI through scalable, power-efficient solutions. We dive into SambaNova’s groundbreaking achievements, including their record-breaking inference models, the Lama 405B and 70B, which deliver unparalleled speed and accuracy—all on a single rack consuming less than 10 kilowatts of power.   Throughout the conversation, Rodrigo highlights the seismic shift from AI training to inference, explaining why production AI is now about speed, efficiency, and real-time applications. He details SambaNova’s approach to open-source models, modular deployment, and multi-tenancy, enabling enterprises to scale AI without costly infrastructure overhauls.   We also discuss the competitive landscape of AI hardware, the challenges of NVIDIA’s dominance, and how SambaNova is paving the way for a new era of AI innovation. Rodrigo explains the critical importance of power efficiency and how SambaNova’s technology is unlocking opportunities for enterprises to deploy private, secure AI systems on-premises and in the cloud.   Discover how SambaNova is redefining AI for enterprise adoption, enabling real-time AI, and setting new standards in efficiency and scalability.    Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, technology, and enterprise innovation! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

In this episode of the Eye on AI podcast, we dive into the critical issue of data quality for AI systems with Sedarius Perrotta, co-founder of Shelf. Sedarius takes us on a journey through his experience in knowledge management and how Shelf was built to solve one of AI’s most pressing challenges—unstructured data chaos. He shares how Shelf’s innovative solutions enhance retrieval-augmented generation (RAG) and ensure tools like Microsoft Copilot can perform at their best by tackling inaccuracies, duplications, and outdated information in real-time. Throughout the episode, we explore how unstructured data acts as the "fuel" for AI systems and why its quality determines success. Sedarius explains Shelf's approach to data observability, transparency, and proactive monitoring to help organizations fix "garbage in, garbage out" issues, ensuring scalable and trusted AI initiatives. We also discuss the accelerating adoption of generative AI, the future of data management, and why building a strategy for clean and trusted data is vital for 2025 and beyond. Learn how Shelf enables businesses to unlock the full potential of their unstructured data for AI-driven productivity and innovation. Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest advancements in AI, data management, and next-gen automation! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction and Shelf's Mission   (03:01) Understanding SharePoint and Data Challenges   (05:29) Tackling Data Entropy in AI Systems   (08:13) Using AI to Solve Data Quality Issues   (12:30) Fixing AI Hallucinations with Trusted Data   (21:01) Gen AI Adoption Insights and Trends   (28:44) Benefits of Curated Data for AI Training   (37:38) Future of Unstructured Data Management

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, 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! Stay Updated: 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