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Data, Privacy, Security, and Regulation

In an era dominated by oceans of data, D^3 hosts a community of practice that offers a discerning perspective on the intricate tapestry of data governance, privacy, security, and regulatory compliance. Participants in this community engage in a comprehensive discourse amongst industry experts, exploring responsible AI and the dynamic realm of regulations, industry standards, and best practices. The community explores how to harness the immense potential of data for strategic business advancement while ensuring the safeguarding of sensitive information, upholding privacy rights, and establishing or integrating resilient and ethical frameworks that underpin success in data-driven endeavors.

AI-Powered Core Earnings Analysis: A New Frontier in Financial Reporting

Analysis of financial disclosures for publicly traded companies can be a time consuming and costly process these days. In the study, “Scaling Core Earnings Measurement with Large Language Models”, Matthew Shaffer, an Assistant Professor at USC’s Marshall Business School, and Charles C.Y. Wang, the Tandon Family Professor of Business Administration at Harvard Business School, explore […]

A New Era for A/B Testing Accuracy

In an era of data-driven business decision-making, the ability to design experiments that produce reliable, actionable results is essential. In their research, “Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference”, first published in 2022 and updated in 2024, Michael Lindon, research scientist at Netflix; Dae Woong Ham, Assistant Professor at University of Michigan’s Ross […]

Shaping the Future of Innovation: Insights from PyTorch’s Governance Transformation

In the rapidly evolving world of technology and open collaboration, companies face a paradox: how much control to maintain over the technologies they develop while providing access to foster innovation and attract external contributions. In their study, “Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration,” authors Daniel Yue, Assistant Professor at the […]

A Human Touch: Why AI Can’t Fully Replace Empathy in Social Interactions

As artificial intelligence continues to advance, its ability to generate empathetic responses in social interactions has improved dramatically. However, new research by Matan Rubin, a PhD student at The Hebrew University of Jerusalem, and a research team (see the bottom of the page for author details) that includes HBS Assistant Professor and Principal Investigator of […]

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