Hudson Buzby
Employers on the program
- 2024–2025JFrog3 talks
Appearances by year
- MLOps World (Machine Learning in Production)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 8, 2025 | 6th Annual MLOps World | GenAI Summit 2025 | MLOps World (Machine Learning in Production) | speakers_corner | AI Catalog by JFrog - Control access to Open Source LLM's as JFrog AI Catalog is a new product by the JFrogML team at Jfrog that allows you to create and enforce dynamic rules and policies around the open source models that…Show lessAI Catalog is a new product by the JFrogML team at Jfrog that allows you to create and enforce dynamic rules and policies around the open source models that your developers and data scientists are permitted to access and deploy. AI Catalog provides a platform to discover, govern, and deploy open source models safely at scale while staying compliant with your organization’s legal and governance policies. | |
| Oct 8, 2025 | 6th Annual MLOps World | GenAI Summit 2025 | MLOps World (Machine Learning in Production) | speaker | Securing Models as JFrog Generative AI and machine learning models are reshaping industries but also introducing new security risks. Model marketplaces like HuggingFace or OLlama have…Show lessGenerative AI and machine learning models are reshaping industries but also introducing new security risks. Model marketplaces like HuggingFace or OLlama have become inundated with models that do not have trusted sources/authors and often contain vulnerabilities. | |
| Nov 7, 2024 | 5th Annual MLOps World and Generative AI World Conference 2024 | MLOps World (Machine Learning in Production) | speaker | Your Entire AI/ML Lifecycle in A Single Platform as JFrog Dive into the world of deploying AI/ML applications to production with JFrog ML. This quick session will showcase our advanced MLOps, LLMOps, and Feature Store…Show lessDive into the world of deploying AI/ML applications to production with JFrog ML. This quick session will showcase our advanced MLOps, LLMOps, and Feature Store capabilities designed to streamline your AI development processes. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aishwarya Naresh Reganti | 2 | — | 2025 |
| Anish Shah | 2 | — | 2025 |
| Eero Laaksonen | 2 | — | 2025 |
| Kshetrajna Raghavan | 2 | — | 2025 |
| Niels Bantilan | 2 | — | 2025 |
| Pablo Salvador Lopez | 2 | — | 2025 |
| Paco Nathan | 2 | — | 2025 |
| Qingyun Wu | 2 | — | 2025 |
| Ravi Chandu Ummadisetti | 2 | — | 2025 |
| Shelby Heinecke | 2 | — | 2025 |
| Zachary Carrico | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.