Operationalising machine learning models, particularly scaling MLOps capability across teams within an organisation is a difficult feat.
Join Romina Sharifpour, Machine Learning Specialist at Amazon Web Services (AWS), to find out how you can easily accelerate your MLOps journey using Amazon SageMaker Pipelines.
You'll gain insights into how AWS customer Carsales keeps up with an increased demand in building and productionising AI models, and their strategy to democratise AI across the whole development teams. This allows any developer to be a citizen data scientist and ML engineer by leveraging Amazon SageMaker.
FIRESIDE CHAT: Join Felipe as he puts his questions to Romina on some of the thorniest challenges when it comes to operationalising ML models. Our webinars are always lively! We like to leave plenty of time for Q&A to make sure all your questions are answered in the session. We love a busy webinar - join us live to make sure you get the most from our expert guest and really uncover the insights you need to help you turn the needle that little bit further in your organisation.
Meet Our SpeakerS
Romina Sharifpour
Machine Learning Specialist, Amazon Web Services (AWS)
Romina is a Machine Learning and AI leader with a proven track record of leading, designing and implementing machine learning and AI solutions. Through years of experience working across various industries, she has helped numerous clients build innovative and impactful solutions fostered by advancements in data science and AI.
At her current role as an ML specialist solutions architect at Amazon, she works closely with C-suites and senior stakeholders, providing them with technical advice and thought leadership to accelerate their democratization of data and ML using cloud technology. This includes enabling business and technical stakeholders to design and build resilient, scalable and cost-optimised end-to-end AI/ Machine Learning solutions and platforms to ensure strategic alignment and business value outcomes.
Felipe Flores is a data science senior executive with 20 years experience. He has worked across data engineering/warehousing, reporting, business intelligence, analytics, data science, machine learning and artificial intelligence. He is currently the Head of Data Science at Healthcare AI company, Honeysuckle Health.
Passionate about his field, Flores began the Data Futurology podcast in 2018 when his wife realised on their extended honeymoon that he needed a productive outlet for his obsession! He has since interviewed some of the world’s leading practitioners in the field, with a view to mentor and empower data scientists to become the next c-suite.
Felipe Flores
Founder, Data Futurology
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