Video: ML Evolution: Driving Business Results with Machine Learning (Hebrew)

The Machine Learning ecosystem has completely changed over the years, from the challenge of training a single model to the ability to train hundreds or even thousands of models with ease.

But, what does this technological evolution mean for businesses? How can MLOps and continuous training bring real value to companies?

In this presentation, we explored the major challenges of ML over the years and how technology has advanced to solve them. To make the talk as practical and useful as possible, we also shared the journey of Riskified’s ML solution, highlighting the process and how modern technologies have changed the way we approach machine learning.
With this understanding, businesses can leverage the power of machine learning to achieve greater success.

Andres has been with Riskified for over 7 years; he leads a multidisciplinary team of experienced Data Scientists and Engineers. During his tenure, he has been instrumental in building the company’s data science infrastructure, as well as leading end-to-end research projects. Currently, his team is focused on developing cutting-edge tools to detect sophisticated fraud attacks, which helps Riskified to prevent millions of dollars in potential losses each year.
With a background in Statistics and Sociology, Andres is passionate about leveraging machine learning technology to transform complex data into actionable insights. He is passionate about Machine Learning technologies, NBA, and football.