About this session
Join our expert panel for a lively discussion on MLOps. Get insights into the challenges and opportunities of operationalizing machine learning as our industry leaders share their hands-on experiences. Discover the best practices, evaluate limitations and challenges in implementation, and learn about the strategies behind successful MLOps projects. Stay ahead of the curve with our panel's perspectives on the latest trends and innovations in the MLOPs landscape. This panel is a must-attend for anyone looking to advance their understanding of MLOps and gain practical ideas for their projects.
Speakers
Raja IqbalCEO and Chief Data Scientist at Data Science Dojo
Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on data science. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale.
Hamza TahirCo-founder at ZenML
Hamza Tahir is an experienced software developer and ML engineer based in Munich, Germany. He is passionate about creating data-driven products, which is evident in his previous projects like PicHance, Scrilys, BudgetML, and you-tldr.
Faisal MasoodCloud Transformation Architect at AWS
Faisal recently joined AWS as a Cloud Transformation Architect. Before AWS, Faisal worked as a Principal Architect, and AI/ML lead at Red Hat Asia Pacific and has over 20 years of IT experience.
Natale VintoLead, Developer Advocacy at Red Hat
Natale is a Software Engineer and Solution Architect with more than 10 years of expertise on IT and ICT technologies and a consolidated background on telecommunications, DevOps and Linux operating systems.
Muntazir MehdiSoftware Development Manager at Amazon
Muntazir Mehdi is a tech professional with expertise in data science, AI, and cloud computing. He currently works at Amazon in Media Planning and is a Member of the Board of Directors for elile.ai.
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