Technology

Women in Data Science: Moving from Inclusion to Influence

At Penn’s Women in Data Science conference, representatives from the field discussed some of the obstacles to working successfully in an area that’s still dauntingly opaque to many.

Five Strategies for Putting AI at the Center of Digital Transformation

Having the right strategies in place determines which AI projects succeed and which do not, writes Wharton's Kartik Hosanagar in this opinion piece.

Telling the Data Story Behind Video Gaming

At a “datathon” hosted by Wharton Customer Analytics, gaming giant Electronic Arts invited Penn students to demonstrate their data analytics prowess.

Combating COVID-19: Lessons from Singapore, South Korea and Taiwan

Singapore, South Korea and Taiwan leveraged their IT capabilities to deal with the coronavirus pandemic, writes Ravi Aron in this opinion piece.

There’s Power in Those Pipes…the Ignored Treasure Hidden in Water

While oil prices plunge, an alternative exists that can take some of the power away from the fossil-fuel juggernauts, say Benjamin and Harvey Rubin in this opinion piece.

Why Quantum Supremacy Does — and Doesn’t — Matter

Regardless of who wins the race to quantum supremacy, firms need to prepare for this disruptive technology now, write Paul Daugherty, Dan Garrison and Carl Dukatz in this opinion piece.

Building a Better Data-first Strategy: Lessons from Top Companies

What do top companies get right about using data to make smart decisions? Neil Hoyne, Google’s global head of customer analytics, answers that question in this opinion piece.

Who Is Responsible for Biased and Intrusive Algorithms?

Machine learning algorithms don’t have a moral character. We need to know how to specify what we want, say Michael Kearns and Aaron Roth, co-authors of 'The Ethical Algorithm.'

Machine Programming: What Lies Ahead?

Machine programming -- software that creates its own software -- is at an inflection point. It may redefine many industries, says Intel’s Justin Gottschlich.

Why Audits Are the Way Forward for AI Governance

When algorithms make decisions, they engender not just challenges but also huge risks for corporations. Companies should use AI audits to mitigate these risks, writes Wharton’s Kartik Hosanagar.

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