Carnegie Mellon University

ENAiBLE Activities

In response to industry needs, ENAiBLE hosts roundtable discussions and workshops. These events provide a forum for problem-solving, networking, and gaining access to world-renowned experts in fields including:

  • Service Design

  • Organizational Change

  • Robotics and Automation

  • Data Analytics

  • Responsible Artificial Intelligence

Upcoming Event

How to Engage with Research at CMU: Capstone Projects

June 29, 2021 | 1:30 to 2:30 p.m. EDT

One of the easiest and most effective ways for companies to get involved with research at Carnegie Mellon is via Capstone projects. For companies with unique problems, Capstones ideally offer a fast and low-cost path to a dedicated research team. At the same time, it is often challenging to identify when a Capstone is appropriate, as well as to navigate the breadth of options available at CMU. To that end, this session is a crash course on Capstones at CMU. We will discuss:

  • Qualities of projects that yield successful Capstones, and how to spot them 
  • Hurdles that frequently occur (e.g. data and IP), and how to tackle them
  • A “map” of the available options at CMU, and their key similarities and differences

As part of this session, we will dive deeper into three diverse Capstones at CMU (Product Management, Business Analytics, and Human-Computer Interaction), and hear directly from the heads of these programs: 

 

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Sign Up for Upcoming Events

ENAiBLE hosts a series of focused, online events in which CMU faculty facilitate discussions about retail and service industry topics.

These conversations will shape other events, such as workshops, that we will hold on campus in the future.

Sign up to stay up to date on ENAiBLE updates and events.

Previous Events

Enhancing Customer Experience: Hype vs. Reality 

Panelists:

  • Jimmy Drake, Vice President of Digital at Purple

  • Raelin Musuraca, Assistant Teaching Professor, Human-Computer Interaction Institute, School of Computer Science

  • Paul Pangaro, Professor of Practice Human-Computer Interaction Institute, School of Computer Science

  • Chris StephensVice President of Enterprise Data & Analytics at Zendesk

June 3, 1:30 to 3:00 p.m. EDT


Focused, data-driven customer experience strategies increasingly rely on the use of sophisticated AI and machine-learning algorithms. The future promises rich and accurate data models, such as digital twins, that will change how retailers present, sell and deliver goods and services. As competitive pressures increase, companies struggle to balance the physical and employee resources needed to fuel, manage, and act upon the insights from increasingly complex models. 

In this roundtable discussion, industry and academic leaders will discuss:

  • What are the benefits and limitations of using AI models to drive decision-making?
  • How can companies separate the hype from reality as they lay the groundwork for an actionable, responsive CX capability?
  • What can retailers do today to prepare their operations in order to fully realize the promise of AI technology? 

The conversation will continue with rich Q&A with the audience, including diving deeper into the challenges of the retail and service industries.

 

 


 

AI for Marketing: The Bleeding Edge

With Alan MontgomeryProfessor of Marketing; Head, MSBA Program, Tepper School of Business, and Andrew LiAssistant Professor of Operations Research, Tepper School of Business

April 26, 2:00 to 3:00 p.m. EDT

What role can artificial intelligence play in marketing? These two seemingly disparate areas have been fruitfully exchanging ideas for at least four decades. For practitioners, what is the intersection of AI and marketing right now, and where is it going? Alan has spent his career at this intersection — developing new tools and working with firms to bring these tools to life. In an opened-ended conversation, Alan and Andrew will discuss:

  • What are the leaders in AI-driven marketing doing right now?
  • Much of AI is about automating decision-making. How does this play out in marketing today?
  • What techniques have been proven "in the lab" and are ripe for adoption by industry?
  • What are the most exciting open problems in AI-driven marketing? What are the practical benefits resulting from their solutions?

The conversation will continue with audience Q&A, including diving deeper into the challenges and opportunities unique to the retail and service industries.

ENAiBLing Innovation in Retail and Services

With Sean Ammirati, Distinguished Service Professor of Entrepreneurship at Carnegie Mellon University's Tepper School of Business, and Paul PangaroProfessor of Practice in the Human-Computer Interaction Institute in the School of Computer Science

Mar. 31, 1:30 to 2:30 p.m. EDT

A startup run within a company is fundamentally the same as a startup in someone’s garage: a group of entrepreneurs trying to make the world a better place using new ideas and inventions.  Sean and his team at CMU’s Corporate Startup Lab are focused on researching and promoting the mission of transformative innovation within large corporations. In their opened-ended conversation, Sean and Paul will explore:

  • What is the key to bringing about ‘innovation’ — and how do we define it?
  • Why do great companies have trouble adopting a startup culture, even in small pockets?
  • What are specific recommendations for approaching complex technologies including AI?
  • What should a corporation do first, second, and third if they wish to adopt AI? What should they avoid?

The conversation will continue with rich Q&A with the audience, including diving deeper into the challenges of the retail and service industries.

Learn more about CMU’s Corporate Startup Lab:Sean’s Medium post “What is a ‘Corporate Startup’?

1. The Keys to Successfully Driving Innovation in Established Companies
2. Mary Beth Green – Chief Innovation Officer, Sheetz.

Personalization in the Wild: Do More With Messy Data

With Andrew Li, Assistant Professor of Operations Research
Feb. 23, 4:30 to 5:30 p.m. EST

Customer personalization should in principle be straightforward: collect data, build a predictive model, predict customer preferences, done. Unfortunately, retailers often find the reality to be messier: 

  • How do you stitch together multiple disparate sources of data on your customers?
  • How do you do this when the data you have on an individual customer is tiny?
  • How do you avoid the endless cycle of re-collecting data and re-building models?

Li will describe a new paradigm for organizing and learning from the exact kinds of data retailers collect, and discuss success cases from e-commerce and content personalization. This talk is aimed at a non-technical, non-academic audience. 

CAIRS (Now ENAiBLE) Virtual Roundtable

This roundtable event on June 30, 2020, was moderated by Dokyun (DK) Lee, Assistant Professor of Business Analytics, Tepper School of Business, and Paul Pangaro, Professor of Practice, Human-Computer Interaction Institute, School of Computer Science.

ENAiBLE Activities

Collaborative Communities

  • Virtual Roundtables 
    • Conversations addressing immediate pain points of the retail and service industries
.
    • Leverage expertise of CMU faculty and industry leaders
.
    • Industry networking
.
  • Workshops 
    • Deepen collaborations between industry and academia through in-person and on-campus events.
    • Exposure to relevant faculty and student research through poster sessions and lab visits
.
  • Focused One-on-Ones 
    • Sponsor-led inquiries into specific challenges and potential solution

Research

  • Sponsored Research 
    • Develop high-impact solutions that are tied to industry challenges
.
  • Capstone Projects 
    • Provide a business problem for a team of undergraduate/graduate students to investigate
.

Talent Acquisition

  • Deepen relationships and develop a talent pipeline to students who are passionate about solving problems.