Managing in the Digital Economy

In the rapidly advancing world of data-driven decision-making, algorithms hold tremendous promise for organizations, but their effectiveness depends on how they are applied. A recent study, “Decision Authority and the Returns to Algorithms,” by Hyunjin Kim, professor at INSEAD Business School, Edward L. Glaeser, professor at Harvard University, Andrew Hillis, head of data science and […]

In recent years, artificial intelligence (AI) and digital platforms have triggered a seismic shift across industries, reshaping how businesses operate and compete. This shift, often referred to as the “digital business revolution,” has impacted both technology-driven companies and industries traditionally unaffected by advanced technologies. As AI evolves from predictive algorithms to decision-making systems, it is […]

Understanding how costs are passed through along the supply chain is critical for business professionals who want to effectively navigate inflationary pressures and pricing strategies. In the working paper “Markups and Cost Pass-through Along the Supply Chain”, members of the D^3 Pricing Lab Santiago E. Alvarez, Alberto Cavallo, and Paolo Mengano, along with Professor Alexander […]

On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. The conference featured breakout sessions where industry experts discussed specific and specialized topics. The breakout session on “Bridging the Generative AI Leadership Gap” featured two presenters, Charlene Li, CEO of Quantum Networks Group, author, and expert […]

We recently sat down with Stephen Goodman, Founder and Managing Director of Madrone O/A, an operational partner and advisory firm, to discuss the importance of companies utilizing frameworks for AI Governance to drive innovation. Goodman has structured and managed dozens of strategic ventures, innovative programs, and commercial partnerships with industry leaders such as Apple, Disney, […]

On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. The conference featured breakout sessions where HBS staff and industry experts discussed specific and specialized topics. The breakout session on The A New Paradigm for Skill Development: A Large-Scale BCG Experiment featured speakers from he Boston […]

On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. The conference featured a one-on-one conversation between Tsedal Neeley, the Naylor Fitzhugh Professor of Business Administration at Harvard Business School, and Hiroshi (Mickey) Mikitani, the founder, chairman, and CEO of Rakuten Group, Inc. Mikitani and Neeley […]

The digital and sustainability paths, previously considered to be parallel, are now highly intersecting and reinforcing each other, pointing towards a symbiotic relationship between technological advancement and environmental values. Showcasing this relationship, digital technologies are expected to contribute more than one-fifth, and up to one-third, of the GHG emissions reduction required by the Paris Agreement by 2030, illustrating their importance to sustainability transformation. As such, it’s important to understand the main drivers of this shift because of the implications this shift has on the global business landscape, including the demand for businesses to prioritize integrating digital innovation with sustainable practices. With the eco-digital economy including benefits that extend well beyond improvement in core business activities, it’s imperative for leaders to have a vision for digital transformation at their organizations going forward with a focus on harnessing the opportunities created by the emerging eco-digital economy including digital strategy, cybersecurity, sustainability, and more. 

Understanding AI product management has become more crucial than ever, particularly in light of recent advancements in the spaces of AI and Machine Learning technologies punctuated by the proliferation of generative AI models. Considering the speed with which AI is becoming pervasive, having a strong grasp of AI concepts and frameworks is critical especially for aspiring AI product managers without significant technical (e.g., coding) background. This opens up exciting opportunities for non-technical product managers whilst making the field of AI product management more accessible, which is a precursor for innovating and building groundbreaking products that address complex, real-world challenges through leveraging cutting-edge technology. Product managers may have to unlearn things they learned in the past. It requires a new mindset.

How to avoid pitfalls around data privacy, bias, misinformation, generative AI, and more. While the question of how organizations can (and should) use AI isn’t a new one, the stakes and urgency of finding answers have skyrocketed with the release of ChatGPT, Midjourney, and other generative AI tools. Everywhere, people are wondering: How can we use AI […]