התחל במצב לא מקוון עם האפליקציה Player FM !
פודקאסטים ששווה להאזין
בחסות


AI Development and Guardrails
Manage episode 436656079 series 3446189
Ezequiel Lanza and Katherine Druckman from Intel's Open Ecosystem team chat with Daniel Whitenack, founder and CEO of Prediction Guard. They discuss the importance and implementation of guardrails for securing generative AI platforms and cover the operational challenges and security considerations of running AI models, the concept of responsible AI, and practical advice for integrating guardrails into AI workflows. Additionally, the conversation touches on multi-model integrations, open source contributions, and the significance of vendor-neutral frameworks in achieving a secure and efficient AI ecosystem.
00:00 Introduction
01:28 What is Prediction Guard?
03:31 Understanding Guardrails in AI
06:49 Security Risks and Responsible AI
13:30 Open Source and Model Security
19:00 Open Platform for Enterprise AI
20:26 Contributing to Open Source Projects
27:12 Final Thoughts
Guest:
Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has more than ten years of experience developing and deploying machine learning models at scale, and he has built data teams at two startups and an international NGO with 4000+ staff. Daniel co-hosts the Practical AI podcast, has spoken at conferences around the world (ODSC, Applied Machine Learning Days, O’Reilly AI, QCon AI, GopherCon, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.
100 פרקים
Manage episode 436656079 series 3446189
Ezequiel Lanza and Katherine Druckman from Intel's Open Ecosystem team chat with Daniel Whitenack, founder and CEO of Prediction Guard. They discuss the importance and implementation of guardrails for securing generative AI platforms and cover the operational challenges and security considerations of running AI models, the concept of responsible AI, and practical advice for integrating guardrails into AI workflows. Additionally, the conversation touches on multi-model integrations, open source contributions, and the significance of vendor-neutral frameworks in achieving a secure and efficient AI ecosystem.
00:00 Introduction
01:28 What is Prediction Guard?
03:31 Understanding Guardrails in AI
06:49 Security Risks and Responsible AI
13:30 Open Source and Model Security
19:00 Open Platform for Enterprise AI
20:26 Contributing to Open Source Projects
27:12 Final Thoughts
Guest:
Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has more than ten years of experience developing and deploying machine learning models at scale, and he has built data teams at two startups and an international NGO with 4000+ staff. Daniel co-hosts the Practical AI podcast, has spoken at conferences around the world (ODSC, Applied Machine Learning Days, O’Reilly AI, QCon AI, GopherCon, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.
100 פרקים
Semua episod
×
1 Building Innovation with Open Source AI 24:19

1 Democratizing Kubernetes for AI and ML with Kubeflow 20:54

1 AI Agents and Developer Evolution: Bridging Human and Machine 24:16

1 Challenges and Triumphs in Kubernetes Security 23:42

1 Flatcar Linux: Made for Containers 22:24

1 Demystifying Cyber Resilience and the Tools That Help 21:16

1 Project Sylva and the Future of Telecom 24:07

1 Data Privacy and Efficiency with Bacalhau Compute Over Data 23:10

1 Evolving Software Deployment With GitLab 20:55

1 The Future of AI Workloads with Slinky 18:51

1 Open Source Maintainership: The Highs, Lows, and Everything In Between 23:38


1 Understanding Observability with OpenTelemetry 21:50


1 Positioning and Strategy with Open Source 20:10

1 Balancing Act: Software Security and Developer Experience 25:32

1 Open Source and Public Policy: A Conversation with Deb Bryant 20:23

1 Canonical's Data Science Stack and AI's Open Future 19:34


1 From Kubernetes to Argo: Exploring the World of the Cloud Native End User 18:39

1 Breaking Down AI: Small Models, Big Impacts 20:44

1 Fostering Open Source Culture and Unlocking Innovation 27:54

1 Managing Kubernetes with Komodor 21:30

1 The Open Source Path to Security and Privacy: Divvi Up and Let's Encrypt 22:02

1 ROI in Open Source Contributions 21:23



1 Empowering Enterprises: OPEA, AI, and the Future of Storage 16:06

1 Inside CISA: Enhancing Cybersecurity Through Collaboration and Open Source Initiatives 21:16

1 AI, Community, and the Future of Generative Applications 20:53
ברוכים הבאים אל Player FM!
Player FM סורק את האינטרנט עבור פודקאסטים באיכות גבוהה בשבילכם כדי שתהנו מהם כרגע. זה יישום הפודקאסט הטוב ביותר והוא עובד על אנדרואיד, iPhone ואינטרנט. הירשמו לסנכרון מנויים במכשירים שונים.