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 ACCELERATING MLOPS WITH AMAZON SAGEMAKER


TUESDAY 26 JULY - 11:00AM AEST

Free Registration
 

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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WEBINAR:
ACCELERATING MLOPS WITH AMAZON SAGEMAKER


Tuesday July 26th |11:00am AEST
Felipe Flores, is sitting down with AWS’s machine learning specialist, Romina
Sharifpour to drill down into how they are building and productionising AI
models at carsales.com.au.

Join him LIVE to fire your own questions around Accelerating MLOps with Amazon
SageMaker. Register free to add the zoom link to
your calendar below!

FREE REGISTRATION CLICK HERE



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