Because AI
is only half the answer
The world is splitting between those who use ChatGPT to get better, smarter, richer – and everyone else.
Beatrice Nolan, Business Insider
Lessons in Applying Responsible AI
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, […]
Startup Foundry Celebrates Pilot Cohort
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 […]
Insight: Integrating Generative AI Within Organizational Systems Comes With Challenges. Here Is Why Businesses Should Still Invest In This Space, Now More Than Ever
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.
Because AI
is a superpower
Insight: Common Generative AI Misconceptions and How to Demystify Them
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.
Insight: Here is What the World’s Leading Executives Have to Say About the Emerging Dual Space of Digital and Sustainable Economy
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.
Because AI
transforms productivity
The average half-life of skills is now less than five years, and in some tech fields it’s as low as two and a half years. For millions of workers, upskilling alone won’t be enough.
HBR: Reskilling in the Age of AI
Because AI
changes everything
Startup Foundry Highlights TeamBirth
Launched in November 2023, the Digital Data Design Institute at Harvard’s Startup Foundry supports Harvard’s academic-led innovation in AI and digital business, offering the necessary business and technical guidance to turn research projects into thriving ventures. Among the inaugural cohort for the Foundry was TeamBirth. Initially a program under the Delivery Decisions Initiative at Ariadne […]
Scaling AI for Hospitals and Healthcare Providers
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 […]
Artificial Intelligence for Transforming Business Operations: A Conversation with the Chief Product Officer of Southeast Asia’s Super App Provider
In this event, Philipp Kandal, the Chief Product Officer of Grab will discuss how Southeast Asia’s all-in-one platform (Grab) is leveraging artificial intelligence to enhance its extensive delivery fleet. This session will explore the innovative strategies and cutting-edge AI technologies employed by Grab to optimize delivery routes, ensure timely deliveries, and improve overall efficiency. Join us at this event to understand the role of machine learning algorithms in predicting delivery demand, managing logistics, and enhancing customer satisfaction. As the leader of Grab’s engineering, data science, and product design teams, Philipp will share his views on integrating AI in real-world operations, outstanding challenges of doing so, and the positive impacts that AI can have on the experiences of both delivery personnel customers. Continue reading Artificial Intelligence for Transforming Business Operations: A Conversation with the Chief Product Officer of Southeast Asia’s Super App Provider
Our digital future is being invented today
Our work at the Digital Data Design Institute at Harvard focuses our 14 labs around six communities of practice to produce and share research-rooted knowledge on how society and business are interacting with artificial intelligence (AI) and digital technologies.