Agenda

1:40–1:55 p.m. ET

Lessons Learned from AI in Enterprise

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.

1:55–2:10 p.m. ET

Fairness in AI – Lessons from Practice

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.

2:10–2:25 p.m. ET

Live Q&A

2:25–2:55 p.m. ET

Live Q&A: Analytics is a Team Sport

Daryl Morey serves as the President of Basketball Operations for the Philadelphia 76ers, joining the organization in the summer of 2020 after 14 seasons with the Houston Rockets. In his prolific career leading NBA teams, Daryl has utilized analytics to recruit talent and maximize player and team performance. In this live Q&A session, Daryl will answer questions from the audience about how he uses analytics to create impact on and off the court.

2:55–3:00 p.m. ET

Closing Remarks

10:00 a.m.–12:00 p.m. ET

Marketing at Scale: How Microsoft Uses the Cloud and Analytics to Discover Powerful Insights

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.

Key topics in this session include:

• An overview of Azure portal and Azure products/services
• A clouding computing architecture example within the Microsoft marketing department
• A demo of how to store the data and collaborate it between Azure Storage and Azure Synapse
• A demo of ML solution with a focus on Azure Synapse

Prerequisites: None

Software: None required 

This workshop will provide a technical overview of the Azure portal and relevant data analytical services. For access to the Azure portal, please set up an Azure account here.

Led By

3:00–5:00 p.m. ET

Technical Workshop: A/B Testing Tool

The Art & Science of A/B Testing for Business Decisions

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? When should you run experiments? How should you interpret the results of an experiment? How do you balance the need to gather more data with the need to make a concrete decision? How can modern techniques from machine learning be used to get more out of your A/B tests? And what are common traps managers fall into when implementing a decision-making strategy based on A/B testing? In this workshop, we will use a mix of lecture, discussion, and interactive simulations to address these questions by introducing both core concepts and modern developments in the practice of A/B testing.

Key topics in this session include:

• What is A/B testing and what problems does it solve?
• How do you interpret the results of an experiment?
• What are the key features of a successful A/B testing strategy?
• What are the limitations of A/B testing for business decision making?
• What’s new in A/B testing and how will the practice change in coming years?
• Simulation exercise that provides a hands-on, interactive method for learning about the benefits and challenges of using A/B tests for business decisions

Prerequisites: None

Software: Modern web browser & Zoom

Led By

12:00–1:00 p.m. ET

Networking

This informal networking session gives attendees the opportunity to choose between two breakout sessions:

New Data Sets in Marketing Science, Facilitated by Eric Bradlow, Vice Dean of Analytics at Wharton, and Lauren Nelson, Director of Analytics at Wharton

In this networking session, attendees will discuss their experience using new and novel data sets to optimize performance. Attendees will share examples and best practices for utilizing data to inform marketing practices, maximize revenue, and streamline operations. Attendees will also discuss cutting-edge technology and innovative practices in data collection and analysis that have impacted their work.

Digital & Cultural Transformation: Adoption of Analytics and AI in your Organization, Facilitated by Raghu Iyengar, Faculty Director of AI and Analytics for Business, and Mary Purk, Executive Director of AI and Analytics for Business and AI for Business

In this networking session, attendees will discuss how to transform business thinking in their organization by adopting a culture of data and analytics. This networking session will be a great opportunity to learn how to build a culture of analytics and AI to generate actionable insights and implementable solutions to transform the company culture. Attendees will be encouraged to share examples of how analytics and AI have been implemented at their organizations and what kinds of cultural transformations, if any, have occurred as a result.

10:00–11:30 a.m. ET

What Do We Know and Do We Actually Know It: Using Federal Economic Data for Policy Analysis

Economic statistics collected and published by the federal government are essential for decision makers in both the public and private sectors. But economic data varies widely in terms of accuracy, availability, timeliness, and ease of interpretation. We 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. We 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.

Prerequisites: None

Software: None

Led By

3:00–5:00 p.m. ET

Integrating Data in Teradata Vantage – A Case Study on Delivering Business Insights During COVID-19

Everything we knew as a society changed in March 2020. Leaders, data scientists and analysts across industries have been challenged with “new” and rapidly evolving business questions. Customer behavior patterns could no longer be easily predicted, forcing business to understand the new normal.  When will customers return to restaurants, shops, work? When will massively disrupted supply chains return to predictable patterns? How can we minimize risk for our business? In this 90-minute workshop, we will explore first-hand Teradata’s Resiliency Dashboard, a business-centric, execution-focused tool designed to help companies navigate during the pandemic and beyond. We will explain how integrated diverse data sets from this dashboard can jump start modeling efforts to inform business decisions. Participants for this hands-on interactive session will walk away with several real-time case study implementations and novel ideas for utilizing data to gain insights into their own organizations.

Key topics in this session include:

• Importance of using analytics to solve business problems
• Combining first-party data with publicly available data to make better decisions
• Reviewing a business case for a large media and entertainment company whose business was impacted by COVID-19

Prerequisites: None

Software: (optional)

• Tableau Reader
• Tableau Dashboard

Led By