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  • September 2020 Meetup: Operationalizing Analytics

September 2020 Meetup: Operationalizing Analytics

  • 24 Sep 2020
  • 6:00 PM - 8:00 PM
  • Zoom Webinar
  • 71


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Operationalizing Analytics

It Doesn’t Mean Squat if It Ain’t Used

In order to start using a model for practical decision-making, it needs to be effectively deployed into production. If we cannot reliably get practical insights from our model, then the impact of the model is severely limited. Model Deployment is the method by which we integrate an analytics model into an existing production environment to make practical business decisions based on data. It is one of the last stages in the data life cycle and can be one of the most challenging. In this meetup, we explore the various considerations we need to make in deploying our models.

Click here to join: Zoom Webinar



James Faeldon

Head of Engineering, AC Analytics

As Head of Engineering at AC Analytics, James is responsible for building the Ayala Group's data-sharing platform and leading analytics project collaborations within the Ayala group of companies. James started his career in analytics as a software research engineer building data pipelines for weather and climate forecasting. Since then, he has worked with startups and large corporations in building robust data infrastructure to support various business initiatives. James is an advocate of open source software and likes to volunteer on social impact projects in his spare time.

Macrina Lazo

Head of Analytics, EastWest Bank

Mac is a graduate of BS Statistics and Masters in Business Economics. She is an analytics practitioner for 20+ years handling risk and marketing analytics in 3 multi-national banks: Citibank, Standard Chartered Bank and Australian New Zealand Bank. She is currently the head of analytics of EastWest Bank. Mac concurrently lectures on predictive analytics and serves as capstone adviser in two universities offering Masters in Analytics.


Jino Noel

Head of Data Science and Engineering, PayMaya Philippines

At PayMaya Philippines, Jino's data science team is focused on using machine learning to help drive growth for the company, with projects including fraud prediction, identity verification, retention analysis, and user profiling and segmentation. He also manages the data engineering team that builds and maintains PayMaya’s data analytics platform.






About the AAP

The Analytics & Artificial Intelligence Association of the Philippines (AAP) is the enabling organization formed to take the lead in driving the growth and evolution of all Analytics-enabled fields, and AI-enabled fields and technologies in the Philippines. We take pride in having the most distinguished and active players in the Analytics and AI field working to elevate the country in its application of Analytics and AI best practices at pace with the 4th Industrial Revolution and for the good of society.

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