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.

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In this episode of the Eye on AI podcast, Craig Smith sits down with Michael Martin, CEO of RapidSOS, to explore how AI and connected devices are aiding emergency response and public safety.

With billions of sensor feeds from over 540 million devices—including wearables, vehicles, and security systems—RapidSOS integrates life-saving data to provide real-time support for 911 and first responders across the U.S. and beyond. Michael shares how their platform is reducing response times, improving accuracy, and transforming the way emergencies are handled by public safety agencies.

We dive deep into RapidSOS’s AI-powered platform, which fuses human and machine intelligence to deliver faster, more effective emergency responses. Michael also discusses the challenges of scaling such technology globally, the role of AI in predictive emergency management, and the importance of integrating these solutions into legacy systems used by first responders.

Whether it’s saving lives through faster 911 responses, preventing emergencies before they happen, or leveraging AI to enhance public safety, this episode offers a compelling look at the future of emergency services. Join us to uncover how technology is reshaping public safety and emergency response on a global scale.

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

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(00:00) Preview

(01:58) RapidSOS and Michael Martin’s Journey

(06:39) Integration w/ Wearable Devices and Home Systems

(11:59) RapidSOS’s Use Cases

(23:12) RapidSOS’ Foundational Models

(31:31) How RapidSOS Handles Data

(36:11) How RapidSOS Aids Public Safety

(49:56) Is RapidSOS Integrated into Hospitals?

(53:00) EmergencyProfile.org Role In Helping First Responders

(55:36) The Future of Public Safety with AI and RapidSOS

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.

If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai

In this episode of the Eye on AI podcast, Craig Smith sits down with Noa Srebrnik from Citrusx.ai to explore how AI is transforming risk management and compliance in high-risk industries like finance and insurance.

With a background spanning regulation, risk, and technology, Noa guides us through Citrusx.ai’s innovative approach to enabling organizations to leverage AI responsibly while adhering to complex regulatory environments.

We dive deep into Citrusx.ai’s AI platform, designed to validate, monitor, and explain AI models, ensuring transparency, fairness, and compliance. Noa explains how their proprietary synthetic data technology identifies hidden risks, allowing companies to confidently scale AI solutions across different use cases without compromising governance.

We also discuss the evolving regulatory landscape, including the challenges of navigating fragmented AI regulations in the U.S. and the EU AI Act’s influence on high-risk sectors.

Join us as we uncover how AI can drive innovation while maintaining regulatory accountability and why risk management is crucial for the future of AI in finance and beyond.

Don’t forget to like, subscribe, and hit the notification bell for more in-depth discussions on AI, regulation, and risk management!

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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, Craig Smith sits down with Krishna Rangasayee, CEO of SiMa.ai, to explore the innovations in AI at the edge and how embedded systems are transforming industries like robotics, automotive, and industrial automation.

Krishna brings over 30 years of experience in software and silicon design, leading us through SiMa.ai's vision of disrupting edge computing with their Machine Learning System on Chip (MLSoC).

We dive deep into how SiMa.ai’s chips are designed to accelerate AI workloads at the edge, providing unmatched performance and efficiency compared to cloud-based solutions.

We also discuss the future of AI hardware, including the role of open-source platforms, the challenges of scaling AI in embedded systems, and why the edge market is poised to outgrow the cloud in the coming years.

Krishna shares his insights on the importance of AI software architecture, how SiMa.ai’s platform simplifies integration for developers, and the emerging potential of neuromorphic and quantum computing.

Join us as we delve into the next big AI gold rush, the edge market, and learn why AI-powered edge devices will reshape the way industries operate.

Don’t forget to like, subscribe, and hit the notification bell for more exclusive insights into the future of AI and edge computing!

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

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(00:00) Preview and Introduction

(02:13) SiMa.ai's Focus on Chip Design for the Edge

(05:38) How is SiMa.ai Different from NVIDIA’s CUDA?

(08:29) The Evolution of Chip Architecture

(11:50) AI’s Move to the Edge Market?

(19:19) Industries Driving Demand for SiMa.ai's Technology

(21:25) How Do Edge Applications Work?

(25:09) Chips Design for Edge Devices

(33:01) SiMa.ai Scaling Plans

(36:12) What is SiMa.ai Focusing On in the Future?

(40:30) SiMa.ai’s Fundraising Journey

(42:57) Hiring and Retaining Top Talent in the Industry

(46:01) The Future of Chip Technology

This episode is sponsored by Bloomreach.

Bloomreach is a cloud-based e-commerce experience platform and B2B service specializing in marketing automation, product discovery, and content management systems.

Check out Bloomreach: https://www.bloomreach.com

Explore Loomi AI: https://www.bloomreach.com/en/products/loomi

Other Bloomreach products: https://www.bloomreach.com/en/products

In this episode of the Eye on AI podcast, we sit down with Randall Degges, Head of Developer Relations and Security at Snyk, to uncover the impact of AI on cybersecurity and software development.

Randall shares his 20+ years of experience as a software developer and security expert, leading us through Snyk's innovative approach to developer security. We dive into how Snyk is changing vulnerability detection and code generation by leveraging a hybrid AI model—combining symbolic AI for accurate detection and generative AI for smart fixes.

We explore the challenges and opportunities of using AI in code security, discussing whether AI-generated code can ever fully replace human coders or if it's best suited as a powerful tool in a developer's arsenal. Randall also addresses the risks of AI hallucinations in code generation and how Snyk mitigates these through rigorous testing and validation.

Join us as we discuss the future of coding, the role of AI in software development, and how developers can stay ahead in this rapidly evolving landscape.

Don’t forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI and cybersecurity trends.

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

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

(00:00) Preview and Intro

(00:34) Randall Degges Background

(01:33) The Role of AI in Security at Snyk

(03:28) Symbolic vs. Generative AI in Code Security

(04:57) How Snyk Uses Rule-Based AI for Detection

(06:48) Challenges with AI-Generated Code Fixes

(09:08) The Future of AI in Code Generation

(11:56) Integrating AI with Developer Tools

(16:06) Risks of AI-Generated Code and Internet Saturation

(22:25) The Hybrid AI Approach for Code Security

(26:31) Future of AI and Its Impact on Developers

(30:02) Snyk's Integration with IDEs and Research Initiatives

(33:48) Autonomous Fixes and the Future of AI in Development

(41:04) DeepCode AI Fix Engine and Snyk’s ID Plugin

(46:38) Will AI Replace Developers?

(50:16) AI Readiness Report Insights

(52:59) Tech Layoffs and Opportunities in AI

In this episode of the Eye on AI podcast, we sit down with Peter Guagenti, President and Chief Marketing Officer at Tabnine, to explore the role of AI in software development.

Peter takes us through his journey from web developer and engineering lead to leading Tabnine, a pioneer of AI code assistance.

We delve into the innovative ways Tabnine is pushing the boundaries of AI, from enhancing code generation to ensuring privacy with its Protected Model—offering enterprises fully private AI solutions tailored to their specific needs. Peter discusses how Tabnine is addressing the challenges of fit-to-purpose AI, making AI tools more context-aware and personalized to the workflows of individual engineering teams.

Peter also sheds light on the future of AI in software development, addressing the pressing question: Can AI truly replace developers, or is it destined to be a powerful collaborator?

Learn how AI can elevate software engineering teams, helping them overcome the repetitive tasks that slow down progress and focus on the creative aspects that push the industry forward.

Don’t forget to like, subscribe, and hit the notification bell for more in-depth conversations on the latest AI advancements.

This episode of Eye on AI is sponsored by BetterHelp.

If you’re thinking of starting therapy, give BetterHelp a try. It’s entirely online. Designed to be convenient, flexible, and suited to your schedule. Just fill out a brief questionnaire to get matched with a licensed therapist, and switch therapists any time for no additional charge.

Visit https://www.betterhelp.com/eyeonai today to get 10% off your first month.

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

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(00:00) Preview and Introduction

(00:38) Peter Guagenti's Background

(01:20) Tabnine’s Origins

(03:49) Innovating in AI Code Assistance

(05:10) The Path to Autonomous Code Generation

(07:49) Human Oversight in Autonomous AI

(10:17) Misconceptions About AI Replacing Engineers

(14:15) Future of Software Development with AI

(17:04) Autonomous JIRA Tool and Broader Applications

(22:36) Leveraging Vector Databases for Context

(27:34) Balancing Contextual Data for AI

(29:54) Expanding Generative AI Use Cases

(34:16) Ensuring Code Quality with AI

(37:17) Curating Quality Data for AI Models

(41:17) The Need for Skilled Coders in AI

(42:59) Future of Generative AI Beyond LLMs

(47:00) Case Studies: Tabnine’s Impact on Productivity

(51:49) Conclusion: Building Trust in AI Technology

Check our BloomReach: https://www.bloomreach.com

Explore Loomi AI: https://www.bloomreach.com/en/products/loomi

Other BloomReach products: https://www.bloomreach.com/en/products

In this episode of the Eye on AI podcast, we sit down with Xun Wang, Chief Technology Officer at Bloomreach, to explore the power of AI in the world of e-commerce.

Xun takes us on a journey through his career, from his early days at NVIDIA, where he played a pivotal role in the evolution of parallel computing and GPU technology, to his current leadership at Bloomreach, a company at the forefront of AI-driven commerce solutions.

He shares how Bloomreach is disrupting the e-commerce landscape with its AI-powered platform, helping brands and retailers enhance customer experiences through personalized search and recommendations.

We dive deep into the technical side of Bloomreach's AI services, including Loomi AI, which integrates various AI capabilities such as search, recommendations, and segmentation. Xun explains how these services work together to deliver highly personalized shopping experiences that boost engagement and conversion rates.

Xun sheds light on the company’s innovative use of generative AI and large language models to improve search relevance and personalization, offering listeners a glimpse into the future of e-commerce.

Tune in to discover how Bloomreach is leveraging cutting-edge AI technologies like two-tower neural networks and their Customer Data Engine (CDE) to redefine the online shopping experience.

Join us as we explore the intersection of AI and commerce, and learn how Bloomreach is setting new standards for personalized online experiences.

Don’t forget to like, subscribe, and hit the notification bell for more deep dives into the latest AI innovations.

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.

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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 explore the cutting-edge intersection of AI and biotechnology with Raphael Townshend, founder and CEO of Atomic AI.

Raphael delves into the revolutionary potential of AI in RNA drug discovery, highlighting Atomic AI's innovative approach. He shares his journey from studying electrical engineering and computer science at UC Berkeley to developing advanced AI models for understanding RNA structures, analogous to DeepMind's AlphaFold for proteins.

We dive deep into the intricacies of RNA's role in the human genome and its untapped potential in treating diseases previously considered undruggable. Raphael explains how Atomic AI's core model, Atom 1, is designed to predict RNA shapes with unprecedented accuracy, enabling the design of new drugs that target RNA instead of proteins. He discusses the significance of RNA in the context of mRNA vaccines, particularly the COVID-19 vaccine, and the challenges of making these vaccines more stable and accessible.

The conversation also covers the technical aspects of using AI, including transformer-based models and in-house data generation, to enhance RNA drug discovery. Raphael shares insights into the company's progress, from cell testing to upcoming animal trials, and the broader implications of integrating AI in biotechnology.

Join us as we uncover the future of RNA-based therapies, the innovative use of AI in drug discovery, and the groundbreaking advancements that could transform the landscape of medicine. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.

This episode is sponsored by SysAid, the Next-gen ITSM Platform.

Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig

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In this episode of the Eye on AI podcast, we dive into the world of AI forecasting with Danny Halawi, a PhD student at UC Berkeley.

Danny shares his groundbreaking research on using large language models (LLMs) to predict future events with accuracy, rivaling human forecasters and prediction markets.

Danny recounts his journey from studying computer security and fraud detection to exploring the potential of AI in forecasting geopolitical events and beyond. He introduces us to the sophisticated architecture of his AI system, which leverages real-time data from prediction markets and advanced machine learning techniques to generate reliable forecasts.

We explore the complexities of judgmental forecasting versus time series forecasting and how AI can enhance decision-making in various fields. Danny discusses the challenges of training AI models for high-stakes predictions, the role of super forecasters, and the fascinating dynamics of prediction markets. He also sheds light on the ethical considerations and future possibilities of integrating AI into our decision-making processes.

Join us as we delve into the future of AI forecasting, the potential of superhuman predictions, and the exciting developments that could reshape our understanding of the future. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.

If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai

Stay Updated:

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

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

(00:00) Preview and Introduction

(01:28) The Importance of AI

(02:50) Danny's Background and Interest in AI

(04:01) Automated AI Forecasting and Safety Implications

(07:34) Judgmental Forecasting Explained

(11:01) Accuracy and Challenges in Prediction Markets

(16:01) Aggregating Predictions for Better Accuracy

(19:25) Data Collection and Model Accuracy

(23:18) Improving Model Accuracy Over Time

(25:31) Data Sources and Model Training

(29:20) Summarizing Information for Predictions

(34:08) Potential of Reinforcement Learning in Forecasting

(37:50) Automating Information Collection and Summarization

(39:01) Training the Model for Accurate Predictions

(45:04) Challenges with Uncertain Predictions

(50:14) Potential Applications and Future Directions

(52:26) The Future of AI Forecasting and Its Impact