Scaling Production Machine Learning Pipelines With Databricks

Media Summary: Conde Nast is a global leader in the media Today a Data Platform is expected to process and analyze a multitude of sources spanning batch files, streaming sources, ... We discuss two real-world use cases in big data engineering, focusing on constructing stable

Scaling Production Machine Learning Pipelines With Databricks - Detailed Analysis & Overview

Conde Nast is a global leader in the media Today a Data Platform is expected to process and analyze a multitude of sources spanning batch files, streaming sources, ... We discuss two real-world use cases in big data engineering, focusing on constructing stable This session explores how to design and implement an efficient MLOps framework to successfully ensure the development and ... In this talk we will discuss a use case involving online advertising that allows marketers to target users based on demographic ... David Crespi is a Data Scientist at Red Ventures, where he focuses on optimizing a customer's journey and experience in the ...

In this session, we look at how one of the world's largest CPG company setup a scalable MLOps We will dive into the practicalities of deploying LLMs in business settings. We'll explore when to leverage LLMs and address how ... In this session we will present how Anheuser-Busch InBev (Brazil) has been developing and growing an ML platform product to ...

Photo Gallery

Scaling Production Machine Learning Pipelines with Databricks

Scaling and Modernizing Data Platform with Databricks

Scaling Value with Azure Databricks

Scaling Data Engineering Pipelines: Preparing Credit Card Transactions Data for Machine Learning

Efficient MLOps: Developing and Deploying ML Models with Databricks

Scaling XGBoost for thousands of features with Databricks

Automating Machine Learning Pipelines for Real Time Scoring (David Crespi)

Scaling and Unifying SciKit Learn and Apache Spark Pipelines

Scaling MLOps for a Demand Forecasting Across Multiple Markets for a Large CPG

LLMs in Production: Fine-Tuning, Scaling, and Evaluation at Atlassian

Scaling Deep Learning on Databricks

Building and Scaling Machine Learning-Based Products in the World's Largest Brewery

View Detailed Profile

Scaling Production Machine Learning Pipelines with Databricks

Scaling Production Machine Learning Pipelines with Databricks

Conde Nast is a global leader in the media

Scaling and Modernizing Data Platform with Databricks

Scaling and Modernizing Data Platform with Databricks

Today a Data Platform is expected to process and analyze a multitude of sources spanning batch files, streaming sources, ...

Scaling Value with Azure Databricks

Scaling Value with Azure Databricks

In this session, you'll learn how to

Scaling Data Engineering Pipelines: Preparing Credit Card Transactions Data for Machine Learning

Scaling Data Engineering Pipelines: Preparing Credit Card Transactions Data for Machine Learning

We discuss two real-world use cases in big data engineering, focusing on constructing stable

Efficient MLOps: Developing and Deploying ML Models with Databricks

Efficient MLOps: Developing and Deploying ML Models with Databricks

This session explores how to design and implement an efficient MLOps framework to successfully ensure the development and ...

Scaling XGBoost for thousands of features with Databricks

Scaling XGBoost for thousands of features with Databricks

In this talk we will discuss a use case involving online advertising that allows marketers to target users based on demographic ...

Automating Machine Learning Pipelines for Real Time Scoring (David Crespi)

Automating Machine Learning Pipelines for Real Time Scoring (David Crespi)

David Crespi is a Data Scientist at Red Ventures, where he focuses on optimizing a customer's journey and experience in the ...

Scaling and Unifying SciKit Learn and Apache Spark Pipelines

Scaling and Unifying SciKit Learn and Apache Spark Pipelines

Pipelines

Scaling MLOps for a Demand Forecasting Across Multiple Markets for a Large CPG

Scaling MLOps for a Demand Forecasting Across Multiple Markets for a Large CPG

In this session, we look at how one of the world's largest CPG company setup a scalable MLOps

LLMs in Production: Fine-Tuning, Scaling, and Evaluation at Atlassian

LLMs in Production: Fine-Tuning, Scaling, and Evaluation at Atlassian

We will dive into the practicalities of deploying LLMs in business settings. We'll explore when to leverage LLMs and address how ...

Scaling Deep Learning on Databricks

Scaling Deep Learning on Databricks

Training

Building and Scaling Machine Learning-Based Products in the World's Largest Brewery

Building and Scaling Machine Learning-Based Products in the World's Largest Brewery

In this session we will present how Anheuser-Busch InBev (Brazil) has been developing and growing an ML platform product to ...

AI @ Scale: Industrialized ML with Databricks

AI @ Scale: Industrialized ML with Databricks

Delivering AI solutions at an enterprise