The AI Revolution-3: MIT's Rama Ramakrishnan on How AI Is Transforming Research and Drug Discovery
In the third and final installment of our exclusive masterclass, the MIT Sloan professor, entrepreneur and former Salesforce executive explores how artificial intelligence is accelerating scientific research, reshaping drug discovery and changing the way researchers and professionals can use AI to solve complex problems.
Artificial intelligence is increasingly becoming a powerful tool for scientific discovery. From accelerating medical research and identifying promising drug candidates to analyzing vast datasets and uncovering patterns that would otherwise take years to find, AI is transforming how research is conducted across industries.
In the third and final installment of The AI Revolution, Rama Ramakrishnan, Professor of the Practice in Artificial Intelligence and Machine Learning at the MIT Sloan School of Management, turns his attention to one of AI's most promising applications: research and innovation. He explains how AI is helping scientists, healthcare organizations and life sciences companies work faster, make better-informed decisions and tackle challenges that were once beyond the reach of traditional computing.
Drawing on his experience in artificial intelligence, machine learning and data science, Ramakrishnan discusses how AI is reshaping the drug discovery process, from identifying potential therapeutic compounds to improving clinical research and reducing the time and cost associated with bringing new treatments to market. While AI is not replacing scientific expertise, he explains, it is becoming an increasingly valuable partner in helping researchers analyze data, generate insights and accelerate discovery.
Beyond healthcare, Ramakrishnan examines how AI is changing research across multiple disciplines by enabling organizations to process enormous volumes of information, identify emerging trends and support evidence-based decision-making. He also offers practical guidance on how professionals, researchers and organizations can use today's AI tools effectively and responsibly to improve productivity and enhance their work.
Ramakrishnan brings a unique blend of academic and industry experience to the discussion. Before joining MIT Sloan, he spent more than two decades as a technology entrepreneur and executive, founding and leading software companies that were later acquired by Oracle, Demandware and Salesforce.
As Senior Vice President at Salesforce and Chief Data Scientist for Salesforce Commerce Cloud, he led Salesforce Einstein for Commerce, an artificial intelligence platform that delivers personalized shopping experiences to hundreds of millions of consumers each month. Earlier in his career, he held leadership roles at Oracle, ProfitLogic and McKinsey & Company, applying advanced analytics and machine learning to real-world business challenges.
Today, Ramakrishnan teaches predictive and generative AI at MIT Sloan, where he helps students and executives understand the practical applications of artificial intelligence. His commitment to making AI education widely accessible is reflected in his freely available MIT OpenCourseWare materials and his ongoing work as an AI columnist for MIT Sloan Management Review.
In this concluding session, Ramakrishnan also shares practical advice for anyone looking to make AI part of their daily workflow. Whether conducting research, solving business problems, creating content or analyzing data, he explains how to approach AI as a collaborative tool—one that can enhance human expertise rather than replace it.
Together, the three parts of The AI Revolution provide a comprehensive overview of artificial intelligence—from its evolution and growing influence on business to its expanding role in scientific research and innovation. In this final chapter, Ramakrishnan leaves viewers with a clear message: AI is not simply changing how we work; it is changing how we discover, learn and solve some of society's most complex challenges.