Agenda

From CoE to Center of Enablement: How Ralph Lauren Is Empowering Business Teams With Data

Jag Gill

Dataiku

Regional Manager Customer Success

Michael O’Reilly

Ralph Lauren

Head of Global Data & Analytics

Jun 29, 2022

12:40 PM - 2:00 PM

Day 2 - Thought Leadership

Online

Lunch Break

Jun 29, 2022

2:00 PM - 2:20 PM

Day 2 - Thought Leadership

Online

How Ameritas Uses Analytics & AI as Their Difference Maker

The highly regulated insurance industry requires specific controls, governance, and auditability when it comes to scaling analytics and AI. In this session, hear from Lorenzo Ball, the Chief Data & Analytics Officer at Ameritas, as he discusses some of these nuances and highlights Ameritas’ use of...

Lorenzo Ball

Ameritas

Chief Data and Analytics Officer

Erin McGowan

Dataiku

Global VP of Sales Engineering

Jun 29, 2022

2:20 PM - 2:40 PM

Day 2 - Thought Leadership

Online

How Novartis Is Driving AI at Scale With an Entrepreneurial + Human-in-the-Loop Mindset

In this discussion between Ashish Sharma (Executive Director, Data & Platforms, Novartis) and Erin McGowan (Global VP, Sales Engineering, Dataiku), hear how Novartis is challenging their legacy analytics ecosystem with an analytics workbench known as GlassBox. From analyst efficiency to increased...

Erin McGowan

Dataiku

Global VP of Sales Engineering

Ashish Sharma

Novartis

Executive Director, Data Products and Strategy

Jun 29, 2022

2:40 PM - 3:00 PM

Day 2 - Thought Leadership

Online

Data Quality Has a Credibility Issue: Here’s How to Fix It

Decades after the expression “garbage in, garbage out” was coined, we still struggle with data quality. Studies show that knowledge workers waste a significant amount of time looking for data, identifying and correcting errors, and seeking confirmatory sources for data they do not trust. When data...

CPM

Christopher Peter Makris

Head of Technology & Innovation, Investment Management Data Solutions

Alexey Surkov

Deloitte

Partner, Deloitte Risk and Financial Advisory

Jun 29, 2022

3:00 PM - 3:20 PM

Day 2 - Thought Leadership

Online

The Future of AI in an Increasingly Regulated and Data Privacy-Conscious World

For years public concern about technological risk has focused on the misuse of personal data. But as companies embed more and more AI in products and processes, attention is shifting to the potential for bad or biased decisions by algorithms — particularly the complex, evolving kind that diagnose...

DCH

Dr. Christine Hines

Mantech International

Vice President & Technology Focus Area Lead

Head of AI/ML Strategy

Jun 29, 2022

3:20 PM - 3:50 PM

Day 2 - Thought Leadership

Online

Afternoon Break

Jun 29, 2022

3:50 PM - 4:10 PM

Day 2 - Thought Leadership

Online

From Studies to Systems: Insight Creation and Analytical Assets on a Common Platform

Join us as we discuss the opportunity for studies and systems to co-exist and connect in Dataiku. We'll go over the importance of defining the enterprise governance and setup needed to operationalize and scale AI/ Machine Learning. We will also review the talent and operating model considerations...

Greg Szwartz

Deloitte Consulting LLP

Managing Director, Life Sciences Data Science Practice Lead

Jun 29, 2022

4:10 PM - 4:30 PM

Day 2 - Thought Leadership

Online

For AI to Go Mainstream, We Need 1 Billion Knowledge Workers. How Do We Get There?

We need 1 billion more for AI to go mainstream. Cultivating a new generation of such knowledge workers is one of the great challenges of the modern era. Tomorrow’s knowledge workers will be more global, work across more industries, and (as we've observed) are not always even in the office. In...

Nicole Alexander

Is Responsible AI Actually Something Organizations Can Achieve?

Responsible AI is the right thing to do. It ensures that end-to-end model management addresses the specific risks of AI (i.e., discriminatory biases and lack of transparency) in order to operate based on ethical standards and prevent compounding issues in the real world. We’ve been talking about...

Nicole Alexander

Address the Spectrum of Bias in AI Across Organizations

Bias is either categorized as a fixable error or a structural inequity. This either-or language should be reframed as a both-and situation. As knowledge construction workers and insight architects, we struggle with seeing and addressing spectrum of biases. The power and ease of scale of inequities...

Dr. Brandeis Marshall

DataedX

Chief Executive Officer

Jun 29, 2022

5:10 PM - 5:20 PM

Day 2 - Thought Leadership

Online

Dataiku for the Future

We believe that data science and AI should benefit and empower everyone. Join Kurt Muehmel, Dataiku Chief Customer Officer, for an inspirational overview of Dataiku's commitment to facilitating data access and fostering the next generation of analytical talent through our nonprofit and academic...

Director of Academics

Kurt Muehmel

Dataiku

Chief Customer Officer

Emilie Stojanowski

Dataiku

CSR & Ikig.AI (Dataiku for Good) Manager

Jun 29, 2022

5:20 PM - 5:35 PM

Day 2 - Thought Leadership

Online

Special Performance

Digital Deception merges interactive magic with the technology around us to create a unique stage presentation that forces audiences to re-examine what’s possible in today’s modern world. The original show is a collaboration between two of the country’s most exciting practitioners of magic: Doug...

Day 2 - Thought Leadership

Online

Closing Remarks

Jag Gill

Dataiku

Regional Manager Customer Success

Day 2 - Thought Leadership

After Data Drinks and Networking

Join us on Spring Studios Rooftop Terrace and enjoy the breathtaking view over Manhattan with sunset cocktails, bites, and mingling to close out the Conference.

Agenda

Breakfast & Registration

Welcome

Why the Future of AI Is Everyday AI

5 Steps to Achieving Everyday AI

The Evolution of the Data Scientist in the Enterprise

Schlumberger: Reshaping the Future of Energy with Everyday AI

Cloud Migration Chronicles

Morning Break

Can We Trust Everyday AI? - What Dataiku 11 Brings to the Table

Everyday AI Is a Journey, Not a Destination

Mount Sinai’s Enterprise Data Blueprint for Success

Using Data to Stay Up to Speed With the Commodity Trading Domain

From CoE to Center of Enablement: How Ralph Lauren Is Empowering Business Teams With Data

Lunch Break

How Ameritas Uses Analytics & AI as Their Difference Maker

How Novartis Is Driving AI at Scale With an Entrepreneurial + Human-in-the-Loop Mindset

Data Quality Has a Credibility Issue: Here’s How to Fix It

The Future of AI in an Increasingly Regulated and Data Privacy-Conscious World

Afternoon Break

From Studies to Systems: Insight Creation and Analytical Assets on a Common Platform

For AI to Go Mainstream, We Need 1 Billion Knowledge Workers. How Do We Get There?

Is Responsible AI Actually Something Organizations Can Achieve?

Address the Spectrum of Bias in AI Across Organizations

Dataiku for the Future

Special Performance

Closing Remarks

After Data Drinks and Networking

Dataiku Events Code of Conduct