Sean Knapp, Founder and CEO of Ascend.io, welcomes you to the 2022 Data Automation Summit with a discussion of the rise of automation's importance in today's modern data stack. Then Sean sits down with...

Maytronics, a world leader manufacturer of robotic swimming pool cleaners, needs to manage and process large amounts of data coming from their products to enable advanced business analysis. From the application...

At Mindstrong, we collect phone typing data to extract features around typing dynamics.This talk will cover how we go into those logs, to inferring 5 areas of your cognitive state. We'll describe the...

Machine learning enables businesses to continuously automate and improve key business metrics increasing top-line revenues and decreasing costs. Recently there is increased interest around real-time machine...

Goal: Strategic and innovative Digital Data Transformation initiative and transportation/public use case, which translated business vision into a successfully integrated solution that improved performance,...

A fireside chat discussing how the Dr. Ratneesh Suri, Head of Data Analytics at the Ports of Auckland, began her career in data team leadership and what important lessons she’s learned as she’s...

Amazon Redshift Serverless enables you to get started in seconds and run data warehousing and analytics workloads at scale without worrying about data warehouse management. In this session, learn how...

Getting started with a data quality project can present a major challenge. Common anomaly detection techniques can create useful alerts, but often create systems that are hard to inspect. In this talk,...

AWS provides the world’s most scalable cloud services for data and analytics processing, with different services dedicated to different types of workloads, like databases, streams, batch analytics,...

We argue that data architecture and automation are intricately intertwined, and together are the most important determinants of business success. To remain competitive, the enterprise must embrace adaptive...

Lean engineering teams and tight budgets can keep many data engineering projects sidelined at tech startups. However, the tools available today enable lean teams to take advantage of big data architecture...

In order to thrive and elevate the role of data in your organization, you can’t just focus on the technology, data, and architecture. You need to build solutions that are impactful and bring measurable...

In this presentation it is shown an example of how companies can treat proprietary data to create business value - from the storage of raw records until the deployment of a new containerised application....

Sean Knapp will sit down with former U.S. Chief Data Scientist DJ Patil to discuss how the role of the data scientist has evolved and solidified over the last 10-15 years and what the next 15+ years may...