Tuesday, June 4th, 2019
AWS Office
27 Melcher St.
Boston, MA 02210
AWS Office
27 Melcher St.
Boston, MA 02210
Every healthcare and life sciences organization wants to accelerate innovation by incorporating AI into their business. In fact, machine learning has become essential for use cases such as patient risk scoring, real-world evidence analytics, genomics and more. However, most companies struggle with preparing large clinical and biomedical datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.
In this workshop, we’ll cover best practices for using powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll also learn how to use popular ML frameworks to train models for various healthcare and life sciences use cases. Also joining us for the session is Lingling Shen, PhD, Leader of Core Data & Analytics at Novartis, to share how she is successfully scaling informatics in the cloud.
In this workshop, we’ll cover best practices for using powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll also learn how to use popular ML frameworks to train models for various healthcare and life sciences use cases. Also joining us for the session is Lingling Shen, PhD, Leader of Core Data & Analytics at Novartis, to share how she is successfully scaling informatics in the cloud.
Overview of Databricks in Healthcare & Life Sciences
Join this workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. We will introduce you to Apache Spark and Databricks with detailed customer use cases covering:
Join this workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. We will introduce you to Apache Spark and Databricks with detailed customer use cases covering:
- Patient Trajectory Modeling
- Biomedical Imaging Analysis
- Patient Risk Scoring using Genomics
AGENDA AT A GLANCE
1:00-1:30 Registration, Lunch & Networking
1:30-2:00 Keynote: Unifying Data Science and Engineering to Drive Innovation in Health and Life Sciences
1:00-1:30 Registration, Lunch & Networking
1:30-2:00 Keynote: Unifying Data Science and Engineering to Drive Innovation in Health and Life Sciences
2:00-2:30 Customer Talk: Cloud-based Big Data Analytics at Novartis
2:30-3:00 Networking with Peers
3:00-3:45 Data Engineering Interactive Demo: Preparing Digital Pathology Image Datasets for Machine Learning
3:45-4:30 Data Science Interactive Demo: Model Training and Machine Learning for Patient Trajectory Modeling
4:30-5:00 Q&A
As part of this workshop, please plan to bring a laptop with you.2:30-3:00 Networking with Peers
3:00-3:45 Data Engineering Interactive Demo: Preparing Digital Pathology Image Datasets for Machine Learning
3:45-4:30 Data Science Interactive Demo: Model Training and Machine Learning for Patient Trajectory Modeling
4:30-5:00 Q&A
Space is limited for this event. Sign up today to reserve your spot!