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What You’ll Learn in This Webinar
An MLOps journey may seem daunting and fraught with challenges, but it doesn't have to be. Join the IKEA Retail team for an engaging webinar to uncover the realities of their end-to-end MLOps journey, covering platform development, monitoring and management. Delve into the core of IKEA's AI/ML deployment with Docker as they share the pivotal role it plays in their MLOps platform. Prepare to gain valuable, practical knowledge directly from IKEA's rich experience, encompassing key learnings and established best practices in the realms of platform development, model deployment and effective monitoring. This is a can't-miss event for anyone looking to enhance their understanding of MLOps in a real-world, largescale retail environment.
Key Takeaways:- Dive into the core of IKEA's AI/ML deployment with Docker as they share the pivotal role it plays in their MLOps platform.
- Gain valuable, practical knowledge directly from IKEA's experience navigating the complexities of their end-to-end MLOps journey.
- Learn about the value of deploying AI/ML solutions with Docker.
Fernando Dorado Rueda
MLOps Engineer - IKEA
I am deeply passionate about the realms of data and artificial intelligence, which have been central to my career journey. Starting as a researcher in this dynamic field, I have evolved to focus on guiding teams in swiftly transitioning their solutions to production, with a keen emphasis on leveraging MLOps practices for optimal efficiency and effectiveness. My journey reflects a commitment to the innovative application of AI and data science, ensuring timely and successful project implementations.
Yasin Faizan Shaik Mohammed
Tech Lead, MLOps Platform - IKEA
I'm deeply passionate about how AI contributes to the rapid development of products and solutions in any field. Beginning my career as a analyst, I've evolved into a guiding force for teams transitioning solutions to production. My focus extends beyond machine learning models to backend programming and DevOps, where I leverage MLOps for optimal efficiency. My journey is defined by a commitment to innovative AI applications and successful project implementations, combining the best of machine learning and engineering.
Soufiane Benzaoui
MLOps Engineer - IKEA
As a results-driven MLOps specialist, I specialize in creating sustainable, high-performance solutions to tackle scalability challenges in both cloud and on-premise environments. My expertise lies in effectively translating real-world challenges into practical technical prototypes and seamlessly integrating machine learning applications into the value chain.
Marc Sherwood
Sr. Technical GTM Manager - Docker
Marc is a seasoned technology expert with an extensive career spanning some of the most influential tech giants. With a rich history in technical roles at MySQL, Percona, Elastic, Oracle, and Splunk, Marc has dedicated his career to mastering the intricacies of various technologies. His journey has now led him to Docker.
At Docker, Marc is at the forefront of integrating container technology with the dynamic world of AI and Machine Learning. His focus is on harnessing Docker's capabilities to revolutionize how AI/ML development is approached, making it more efficient and accessible.
At Docker, Marc is at the forefront of integrating container technology with the dynamic world of AI and Machine Learning. His focus is on harnessing Docker's capabilities to revolutionize how AI/ML development is approached, making it more efficient and accessible.
Amanda Razani
Moderator, Custom Content Editor - Techstrong Group
Moderator, Custom Content Editor - Techstrong Group
Moderator, Custom Content Editor - Techstrong Group
Moderator, Custom Content Editor - Techstrong Group
