This talk will focus on how teams can adopt an open source approach in developing data and machine learning learning based solutions. We’ll explore how we can create a reusable code-base and leverage it to build powerful data applications. We will explore scenarios on how an analyst vs an executive can benefit from the same codebase. If this sounds fun, tag along.
Building User-Friendly Data tools for Technical and Non-technical users
Mon. September 14, 2020 @ 14:00 ET

Featured Presenters
Event Sponors

Amazon Web Services (AWS)
AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from datacenters globally. Millions of customers are using AWS to lower costs, become more agile, and innovate faster.

CloudFactory
CloudFactory is a global leader in combining people and technology to provide a workforce in the cloud for machine learning and core business data processing.

Databricks
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.

Maverick Quantum Inc (mavQ)
Maverick Quantum Inc (mavQ) is a low code & artificial intelligence platform that enables organizations with digital transformation while creating valuable insights and outcomes.