Discover the latest publications from worldwide news outlets on the work of the Digital Data Design Institute at Harvard. Dive in below. Fortune Newsletter You’ll Probably Need to Learn a New Acronym to Keep Up with the Latest AI Trend By: Sage Lazarro InnoLead Four AI Questions Organizations Need to be Discussing By: Scott Kirsner […]
BOSTON – The Digital Data Design Institute at Harvard (D^3) announced today two multi-year corporate partnerships and one research partnership, a first since the Institute’s inception in 2022. The corporate partners include JPMorgan Chase and Boston Consulting Group, who will work with Harvard and Harvard Business School faculty and researchers within their labs at D^3 […]
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.
How well can AI understand and reinterpret human emotions? In a revealing study by the Digital Emotions Lab, GPT-4 not only grasped the essence of human disappointments but also excelled in transforming these sentiments positively, outstripping humans in crafting cognitive reappraisals.
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 […]
Insights from the March 27th, 2024 capstone session on Gen AI applied use cases, risks, and responsibilities Recordings and articles from the Generative AI in Healthcare series can be found here. In the capstone session of the Generative AI in Healthcare series, Satish Tadikonda (HBS) spoke with Responsible AI Institute experts Manoj Saxena, Var Shankar, […]
Insights from the March 5th, 2024 session on Gen AI use cases among Healthcare Providers Recordings from the Generative AI in Healthcare series can be found here – session 1, session 2, session 3, and session 4 In the fourth session of the Generative AI in Healthcare series, speakers Nikhil Bhojwani (Recon Strategy) and Satish […]
In the recent paper “Scientific Talent Leaks Out of Funding Gaps,” Wei Yang Tham from the Laboratory for Innovation Science at Harvard, along with Joseph Staudt and Bitsy Perlman of the US Census Bureau, and Stephanie Cheng of Edgeworth Economics, highlight the pivotal role of sustained funding in fostering the growth of future scientists.
The Digital Data Design Institute at Harvard’s Startup Foundry launched in 2023 to support and activate academic-led entrepreneurship at Harvard. Like all good entrepreneurs, it began with experiments, testing various formats, processes, and programs, piloting with early customers and tweaking to meet market needs while producing an MVP. As the first program of its kind […]
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.