AI Seminars 2023: MLOps for scalable and reproducible research experiments
DEIB Conference Room "E. Gatti"
Campus Leonardo - Building 20
July 3rd, 2023
5.30 pm
Contacts:
Nicola Gatti
Research Line:
Artificial intelligence and robotics
Campus Leonardo - Building 20
July 3rd, 2023
5.30 pm
Contacts:
Nicola Gatti
Research Line:
Artificial intelligence and robotics
Sommario
On July 3rd, 2023 at 5.30 pm Tommaso Bianchi, Research Assistant at PoliMi, will deliver the next seminar of the AI Seminars series on "MLOps for scalable and reproducible research experiments" in DEIB Conference Room "Emilio Gatti" (Building 20).
As the field of Artificial Intelligence continues to advance at an incredible pace, new challenges have emerged: how can we build ML models that are efficient and can be effectively used to solve complex, real-world problems, and how can we do so efficiently, leveraging in the best possible way the scarce resources (people, computational power, data) we have access to? This is where MLOps (Machine Learning Operations) comes into play, offering a comprehensive framework to streamline the development, deployment, and maintenance of ML models.
In this talk, Tommaso Bianchi will present the general aspect of MLOps, focusing in particular on exploring its significance for scientific research in the field of AI and Machine Learning. He will provide a general overview of MLOps, highlighting its key principles and best practices. Then, hr will discuss the importance of key aspects such as reproducibility, scalability, and collaboration in the research process and discuss how MLOps can help address these aspects and provide a solid starting point for building a modern research process that is able to keep up the pace with the international AI and ML research landscape.
AI Seminars are a series of talks to foster the study of artificial intelligence in Milan.
An aperitif will be served after the seminar.
Please register here.
As the field of Artificial Intelligence continues to advance at an incredible pace, new challenges have emerged: how can we build ML models that are efficient and can be effectively used to solve complex, real-world problems, and how can we do so efficiently, leveraging in the best possible way the scarce resources (people, computational power, data) we have access to? This is where MLOps (Machine Learning Operations) comes into play, offering a comprehensive framework to streamline the development, deployment, and maintenance of ML models.
In this talk, Tommaso Bianchi will present the general aspect of MLOps, focusing in particular on exploring its significance for scientific research in the field of AI and Machine Learning. He will provide a general overview of MLOps, highlighting its key principles and best practices. Then, hr will discuss the importance of key aspects such as reproducibility, scalability, and collaboration in the research process and discuss how MLOps can help address these aspects and provide a solid starting point for building a modern research process that is able to keep up the pace with the international AI and ML research landscape.
AI Seminars are a series of talks to foster the study of artificial intelligence in Milan.
An aperitif will be served after the seminar.
Please register here.
