Analytics > Action > Impact

Advertising, like any other form of content, has the ability to change people. That is its primary purpose; to impact hearts and minds. Its messages are meant to reach consumer segments that inspire audiences to take action.

Keynote speaker, Jamie Moldafsky, Chief Marketing and Communications Officer at Nielsen, discusses the moral imperative to use data and analytics as a force for good, and ultimately, systemic change.

Over the next decade, every company will be transformed by AI. In this presentation, Rajen will explore some of the most prominent use cases and challenges with implementing AI in enterprise. Also, he will go over the key lessons learned in implementing AI and provide examples.

Pymetrics helps companies build the workforce of the future, using behavioral science and audited AI technology. Dr. Vaughan will discuss their efforts to deploy machine learning at scale, with a particular focus on their efforts towards diversity, fairness, accountability, and transparency. Lastly, he will discuss the road ahead for fairness in the AI space, with learnings derived from the many challenges (and benefits) of their efforts deploying AI in a regulated environment.

Following their talks, Elizabeth (Zab) Johnson, Executive Director and Senior Fellow at Wharton Neuroscience Initiative, moderated a live Q&A session with Rajen Sheth, VP of Google Cloud AI and Industry Solutions, and Alex Vaughan, Chief Scientific Officer at Pymetrics, about lessons learned from implementing AI in enterprise and using AI to facilitate fair hiring practices.

In this session, you will learn about Azure and how the Microsoft marketing team turns ideas into solutions by leveraging the Azure products and services. You’ll learn the basics of Azure storage, Azure Synapse, and Azure Purview for data governance as well as how to use those services to power your immediate BI and machine learning needs.

Can you make business decisions with the certainty of a scientist? That is the promise of A/B testing, which is a well-established but increasingly popular business practice based on using randomized controlled experiments for managerial decisions. But where exactly does this supposed science fit into the art of running a business? In this workshop, we will use a mix of lecture, discussion, and interactive simulations to introduce both core concepts and modern developments in the practice of A/B testing.

This workshop will review several key federal data sources from an applied perspective, discussing how (and whether) policymakers and the public can use the data to guide decisions, especially in a crisis. It will cover the data underlying forecasts of revenue and the effects of tax changes, headline indicators for the economy like GDP and unemployment, real-time measurement of behavior and economic activity during the COVID-19 pandemic, and other topics.

In this 90-minute workshop, you will explore first-hand Teradata’s Resiliency Dashboard, a business-centric, execution-focused tool designed to help companies navigate during the pandemic and beyond. Teradata explains how integrated diverse data sets from this dashboard can jump start modeling efforts to inform business decisions. Participants will walk away with several real-time case study implementations and novel ideas for utilizing data to gain insights into their own organizations.

Following the endnote address with Sue Taylor, CIO of the Bill and Melinda Gates Foundation, Wharton professors Eric Bradlow, Stephanie Creary, and Katherine Klein discussed the crucial role data analytics plays in integrating diversity, equity, and inclusion into our organizations and society at large.