On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. The conference featured a presentation on the power of AI from Ewa Dürr, Head of Product Management for Google Cloud Artificial Intelligence. Based on Google’s extensive research and development in the AI space, Dürr outlined trends […]
On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. The conference featured a panel moderated by Robert Huckman, Albert J. Weatherhead III Professor of Business Administration at Harvard Business School, and four panelists: Francesca Dominici, Clarence James Gamble Professor of Biostatistics, Population, and Data Science […]
On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. A key speaker at the conference was Ethan Mollick, an Associate Professor at the Wharton School of the University of Pennsylvania. Mollick spoke about AI’s disruptive impact on work and business, its rapid advancements, and how […]
On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. During the conference, a panel moderated by Mitchell B. Weiss, Richard L. Menschel Professor of Management Practice at Harvard Business School, panelists Anita Lynch, Board Member at Nasdaq U.S. Exchanges, Jonathan Zittrain, George Bemis Professor of […]
On May 7, the Digital Data Design Institute at Harvard hosted Leading with AI: Exploring Business and Technology Frontiers. During the conference, this breakout session by Jeff Bussgang explores the transformative potential of advanced AI tools in education and business. For lifelong learners, integrating GPTs into their learning journey offers personalized, real-time feedback and support, […]
Artificial intelligence has the potential to radically transform the operational aspects of businesses. Delivery businesses are a quintessential example of where such an AI-enabled transformation could occur. For example, companies like Grab (Southeast Asia’s largest all-in-one digital platform provider) employ cutting-edge AI algorithms to enhance overall efficiency of its delivery fleet. Grab leverages complex machine learning algorithms to predict delivery demand and to manage logistics, thereby increasing customer satisfaction. Such applications of AI could help businesses cut down on cost and allocate resources more efficiently, improve the on-the-job experience for their employees, and understand the needs of their customers better to provide the holistic service their customers need when they need it.
The D^3 Institute recently convened the Generative AI Collaborative Working Group in order to build collective knowledge around the subject of equitable AI implementation. This global, interdisciplinary group of experts gathered weekly to discuss the ways in which generative AI will likely continue to impact various sectors and societies. Through a series of interactive discussions […]
Although artificial intelligence technology has been around for some time, current advancements in this space warrant more ethical approaches for developing and deploying AI systems to benefit a large portion of society. Artificial intelligence, generative AI in particular,has already shown immense potential to augment human capabilities. This potential, however, doesn’t seem to be evenly distributed. What’s worse, risks such as social and economic disparities are exacerbated by the uneven distribution of artificial intelligence, and are concentrated in specific regions based on demographic characteristics. It’s imperative to strive toward building a framework of transparency, fairness, and accountability around artificial intelligence on a global scale in order to mitigate this problem.
Owing to the accelerated advancement in the field of generative AI technologies, it’s important to address misconceptions about what generative AI tools can and cannot do in order to maximize the benefits and minimize potential harms. In this “Ask me Anything” session, Amanda demystifies some of the most commonly held misconceptions about generative AI via discussions of real-world use cases. While responding to specific questions, Amanda highlights areas in which generative AI seems to thrive, while she also identifies notable shortcomings of the technology by drawing from her diverse and extensive experience as a digital transformation expert and a sought-after advisor to leading organizations in artificial intelligence and machine learning technologies.
Following the abrupt uptick of generative AI innovation in the past couple of years, organizations have ramped up research and development efforts to meaningfully explore the value of integrating generative AI into organizational systems, with a particular interest in achieving operational hyper-efficiency. This effort requires a deep understanding of the steps towards operationalizing generative AI—from development to adoption to deployment—involving benefits and risks that must be carefully considered to augment performance and financial gains.