MLOps Virtual Event

20 May 2020 - 9am BST / 10am CEST

Successfully building a machine learning model is hard enough. Reproducing your results at scale — enabling others to reproduce pipelines, comparing results from other versions, moving models into production, redeploying and rolling out updated models — is exponentially harder. To address these challenges and accelerate innovation, many companies are building custom "ML platforms" to automate the end-to-end ML lifecycle.

Join our interactive MLOps Virtual Event to hear more about the latest developments and best practices for managing the full ML lifecycle on Databricks with MLflow. We’ll cover a checklist of the capabilities you’ll need, common pitfalls, technological and organizational challenges (and how to overcome them).

Presentations will be enhanced with demos, as well as success stories and learnings from experts who have deployed real-world examples for forecasting, IoT analytics and more. This will be an engaging event for data science leaders and practitioners alike.

Agenda at a glance

MLOps and ML Platforms State of the Industry, opening Keynote by Matei Zaharia, Co-founder and Chief Technology Officer, Databricks and Clemens Mewald, Director of Product Management, Databricks
Operationalizing Data Science & ML on Databricks using MLflow (Demo) by Sean Owen, Data Scientist, Databricks
Customer Stories: Building Machine Learning platforms for real-world use cases:
- Reducing energy waste with IoT analytics and Machine Learning – Quby
  - Automating end to end workflows from data ingestion, to featurization, prototyping, validation, re-training, and productionization of models
- Understanding the Road at Scale - Nexar
  - With more than 50,000 drivers, Nexar is a fully connected dash cam system that uses AI technology to automatically detect and record incidents on the road and save the footage to your phone. Built on Spark, billions of images are collected for computer vision applied to two projects: City Stream & Virtual City Camera.
- Embedding Insight through Prediction Driven Logistics - Aggreko
  - As a data-driven company, Aggreko Insight Analytics team is a business value asset in the decision making process. In this talk, Helena & Andrew illustrate the approach to the models created for fuel consumption forecast.
Technical track: access 7 free self-paced training courses with 3 months to complete.