Dr. Cooper has shared his expertise on a variety of topics with audiences all over the world, ranging from ten in a conference room to thousands in a ballroom. He will work with your event team to provide content that is entertaining, informative, and relevant. Contact The Data Brains to enhance your next meeting.
Recent and Upcoming Events
Washington University, Project Management Roundtable — 6 Secrets
Washington University, Data & Analytics Roundtable — Data Products Roundtable
CDO Certification Training — Data Products Overview
DGIQ-West — Data Products Workshop
DGIQ-East — Data Products Workshop
Rhodes College, Data & Analytics Program — AI-Driven Disruption
Teradata Possible Conference — Cloud Migration
Topics

Six Secrets for Delivering Impossible Projects
Leading an impossible project is exciting, scary, exhilarating, and overwhelming. And when the project is delivered it is sublimely satisfying. You might be driving fundamental change throughout your company, or delivering a valuable new capability considered beyond reach. You might be finding the solution to a previously intractable problem, or orchestrating dozens or even hundreds of groups, departments, people, and applications. Unfortunately, many of these efforts fail to live up to expectations or collapse outright. Dr. Cooper has delivered several such consequential projects, and shares his experience to equip leaders to deliver their own impossible projects.
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Audience: Technical Architects, Project Managers, and all levels of management
Length: 45 - 60 minutes

The Real Curriculum
I attended a "Southern Ivy League" university in the mid-1980s and learned many state of the art technologies…none of which are widely used today. So, was it all a waste of time and money? What does the future hold for the current tech? This keynote describes the eight concepts that I actually learned in college, and that I have continued to use as technologies changed and evolved. These are the concepts that are the foundation of a successful career, not just in technology but in any field: The Real Curriculum.
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Audience: High school upperclassmen and college students, along with their teachers and professors
Length: 45 - 60 minutes

AI-Driven Data & Analytics Disruption
We are currently in the early stages of the largest disruption in data and analytics since the data warehouse architecture was formalized more than thirty years ago. Not surprisingly, it is being driven primarily by recent advances in Artificial Intelligence. The impact in some areas has not even been fully seen yet. Don't worry, though, it's coming!! In this presentation, Dr. Cooper will show how AI (and other innovations) are changing the information management landscape, and how you can be prepared to excel in this new environment.
Audience: Data and analytics professionals, and students (undergraduate, graduate, MBA, etc.) in the field.
Length: 45 - 60 minutes

Data Products Workshop
Data products encapsulate the activities and artifacts that promote reliability which, in turn, accelerates insight delivery and enables more successful, sustainable, and scalable artificial intelligence, machine learning, and analytics. In short, Data Products provide the foundation for modern analytics architectures, especially Data Mesh and Data Fabric.
Audience: Business and technical audiences interested in learning more about Data Products, especially if they are looking to introduce them in their organization.
Length: 1 hour overview, 2 hour roundtable, or 3 hour workshop

Ensuring Cloud Migration Success
So, you’ve been given a mandate to migrate your mature data warehouse into the cloud. What now? Will cloud-native repositories accommodate your existing workloads? How do you prepare a diverse community of tens of thousands of users? How do you migrate hundreds of terabytes of data? These are just a few of the questions that will be answered, as tips and best practices drawn from first-hand experience are shared to help ensure your cloud migration success.
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Audience: Anyone contemplating the migration of a large, existing analytics environment to the cloud
Length: 30 - 45 minutes