4PM: Networking, 4:30PM: Presentation

How to Modernize Your BI and Analytics Architecture
Learn about using a semantic layer to modernize analytics architecture and accelerate the business impact of AI and BI at your organization.
This session will offer practical advice on how to drive AI & BI business outcomes with a modern analytics architecture that leverages a semantic layer.

You will learn how to achieve quantifiable results by modernizing your BI and analytics stack with a semantic layer that delivers an order of magnitude better query performance, increased data team productivity, lower query compute costs and improved Speed-to-Insights.

Attend this session to learn about:

• Gaining business alignment and reducing data prep for your AI and BI teams.
• Making a consistent set of business metrics “analytics-ready” and accessible.
• Accelerating end-to-end query performance while optimizing cloud resources.
• Delivering speed-of-thought performance – without extracting large data sets or maintaining OLAP cubes.

Who should attend this session?
All data & analytics leaders and professionals (E.g. Chief Data Officers, data analysts, statisticians, data scientists, data engineers, data literacy, business intelligence, and data governance professionals)

Speaker: Daniel B Gray | VP, Solutions Engineering, AtScale
Bio: Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.