Yuval Fernbach
Employers on the program
- 2024JFrog1 talk
- 2022Qwak2 talks
- 2019Amazon Web Services1 talk
Appearances by year
- MLOps World (Machine Learning in Production)
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 7, 2024 | 5th Annual MLOps World and Generative AI World Conference 2024 | MLOps World (Machine Learning in Production) | speaker | From Silos to Synergy: MLOps & Developers Unified as JFrog In the evolving landscape of software, machine learning is no longer an isolated component it’s an integral part of the entire secure software supply chain. For…Show lessIn the evolving landscape of software, machine learning is no longer an isolated component it’s an integral part of the entire secure software supply chain. For ML engineers, this shift presents an exciting opportunity to go beyond experimentation and model development to actively contribute to the secure and scalable delivery of AI solutions. | |
| Jun 9, 2022 | 3rd Annual MLOps World 2022 | MLOps World (Machine Learning in Production) | speaker | Crossing the Production ML Chasm: The 5 Biggest Challenges in Model Productionization and Practical Tools to Address them as Qwak | |
| Jun 9, 2022 | 3rd Annual MLOps World 2022 | MLOps World (Machine Learning in Production) | speaker | The Critical Things you HAVE to Build to Transform Your Company to be ML Driven as Qwak | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | [REPEAT 1] Choose the right instance type in Amazon SageMaker, with Texas Instruments as Amazon Web Services Amazon SageMaker, a fully managed service for machine learning, offers several compute capabilities and instance types to meet the needs of your use case. In…Show lessAmazon SageMaker, a fully managed service for machine learning, offers several compute capabilities and instance types to meet the needs of your use case. In this session, we review the compute options available to you, including GPUs, CPUs, AWS Inferentia, Amazon SageMaker Neo, and Amazon Elastic Inference. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Jaeman An | 2 | — | 2024 |
| Niels Bantilan | 2 | — | 2024 |
| Niklas Nielsen | 2 | — | 2024 |
| Qingyun Wu | 2 | — | 2024 |
| Simba Khadder | 2 | — | 2024 |
| Shelbee Eigenbrode | 2 | — | 2022 |
| Manisha Agrawal | 1 | 1 | 2019 |
| Srinivas Hanabe | 1 | 1 | 2019 |
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.