Big data and machine learning have enormous potential to drive disruptive innovation for government organizations involved in the Financial Sector. Advanced analytics have become essential for delivering on use cases such as fraud detection, loan risk analysis, financial modeling, tax and regulatory compliance, and more. However, most agencies and organizations struggle with aggregating and preparing large batch and streaming datasets for analytics, implementing open-source big data and ML technologies, and moving models into production.
In this workshop, we’ll show you how to overcome these challenges with live technical demos covering top financial analytics use cases in the Public Sector such as evaluating loan risk, time series analysis and financial fraud detection. Through the interactive demos you’ll learn best practices for using open-source technologies including Apache Spark™, the de-facto large-scale data processing and analytics engine, popular ML frameworks (i.e. Tensorflow, XGBoost, Scikit-Learn, etc.) and MLflow to track and productionize experiments within a reproducible environment.
Join our free technical breakfast seminar to network with your peers and learn how a unified approach to data and analytics can bring data teams together to accelerate your financial analytics efforts. In this workshop you will learn to:
Build scalable, reliable pipelines, incorporating streaming and batch data, for top financial analytics use cases
Deeper insights into Apache Spark, Delta Lake and Databricks
Train a model against financial data, learn how to work with ML frameworks (i.e. - XGBoost, Scikit-Learn, etc.) and manage the ML lifecycle with MLflow
Live demo notebooks covering the following use cases:
AGENDA AT A GLANCE
8:00-8:30 Registration, Breakfast & Networking
8:30-9:00 Opening Remarks: Evolving State of Financial Analytics and AI in Public Sector
9:00-9:30 Guest Speaker: Rajan Bhardvaj, Senior Information Officer, World Bank
9:45-10:45 Technical Discussions, Live Demos and Q&A
10:45-11:15 Networking with Peers
Space is limited for this event. Sign up today to request your spot!