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The latest featured articles, webinars, podcasts and more for you to learn how you can benefit from artificial intelligence in daily operations and more.
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LATEST ARTICLES
29.06.2022
| Podcast
| Ville Hulkko
Machine Learning Operations
Reliable and scalable AI with MLOps
The biggest challenge in production-level AI is not finding the best ML model but building a reliable, scalable, and maintainable system for operating it in production and developing it continuously. Learn from Silo AI experts how to take the first steps to become AI-driven.
Ville Hulkko | 08.04.2021
Episode 14: Experimentation culture of Netflix – Ville Tuulos
Machine Learning is defined by a need for rapid experimentation. To achieve an environment of fast, iterative and low-risk experimentation, both hard aspects (tools and platforms) and soft aspects (culture, ways of working) of the ecosystem need to be aligned.
PODCAST
Pauliina Alanen | 15.04.2021
Building operational AI/ML with MLOps
In this webinar, we dived into the infrastructure and organizational requirements of getting real-time machine learning-driven insights and analytics, that help run your operations smoothly. With our invited guest Unity, we showed an example of how solid machine learning operations (MLOps) helps scale several machine learning products at once.
WEBINAR
Hossein Yousefi | 21.04.2021
Implementing end-to-end scalable MLOps for a CV product
The overall goal of MLOps is to make the process of productizing ML models smoother. MLOps applies the DevOps techniques, concepts and practices to machine learning systems with an increased demand to take care of aspects around the activities, such as data versioning, data lineage and data quality. MLOps responses to an increased need for model observability and monitoring model performance.
ARTICLE
Other interesting topics
Machine learning for predictive maintenance
Improve your production efficiency by ensuring reliable operations with machine learning and computer vision for predictive maintenance. As your trusted partner, Silo AI helps you build robust solutions permit you to be one step ahead.
Silo AI x NVIDIA webinar – Vessel and vehicle awareness
In this webinar, we’ll dive into using sensor fusion to improve situational awareness. Together with NVIDIA Inception, we’ll share key use cases enabled by NVIDIA components, and we’ll showcase invited guest Groke’s concrete use of sensor fusion to improve vessel awareness.
LATEST WEBINARS
Edge Ai in Industrial Environment – learnings from Körber & Silo AI
Daniel Szabo, CEO at Körber Digital to talks about his learnings in bringing AI to industry and what is required to succeed. Körber Digital is a Business Area of Körber, an international technology group. Körber Digital is the biggest company builder for manufacturing efficiency in Germany.
How to scale AI – learnings from H&M and Silo AI
We welcome Errol Koolmeister, a former Head of AI at H&M, to talk about his learnings in building scalable AI at one of the world’s largest retailers, H&M. Errol is joined by Niko Vuokko, Head of Technology at Silo AI, who’ll share his experience in building scalable AI products together with industry leaders.
Sensor fusion for situational awareness
Learn how to benefit from sensor fusion to improve situational awareness. Together with NVIDIA Inception, we shared key use cases enabled by NVIDIA components, and we showcased invited guest Groke’s concrete use of sensor fusion to improve vessel awareness.
Building operational AI/ML with MLOps
In this webinar, we dived into the infrastructure and organizational requirements of getting real-time machine learning-driven insights and analytics, that help run your operations smoothly. With our invited guest Unity, we showed an example of how solid machine learning operations (MLOps) helps scale several machine learning products at once.
Machine learning for predictive maintenance
In this webinar, we focus on machine learning for predictive maintenance together with our invited guests, Hanna Grönqvist, Senior Data Scientist at Hiab, and Slawomir Nowaczyk, Professor in Machine Learning at the Halmstad University and a Lead AI Scientist at Silo AI.
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