Is AI really going to change the world? How do we make it pragmatic? Can anyone use data? Join Dr. Fayyad as he brings data & AI legends to reflect on their experiences and on the future of their industries.
Usama Fayyad speaks with Alessandro Vespignani - Sternberg Family Distinguished Professor at Northeastern University. Tune in to hear Alessandro discuss his history in network science and AI, and hear his views on complex systems, the high dimensionality of network data, and the applications of AI in network science.
Usama Fayyad speaks with Chris Wiggins - Associate Professor at Columbia University and Chief Data Scientist at The New York Times. Tune in to hear Chris discuss his history in data and AI, and hear his views on social physics, generative AI, and experiential AI.
Usama Fayyad speaks with Rai Winslow - Director of Life Science and Medical Research at The Roux Institute. Tune in to hear Rai discuss his history in life sciences, medicine, Computational Medicine, and hear his views on the limitations of AI-based approaches.
Usama Fayyad speaks with Kenneth Church - professor of the practice at the Khoury College of Computer Sciences at Northeastern University. Tune in to hear Kenneth discuss his history in Information Retrieval, NLP, and search technology, and hear his views on the interest surrounding ChatGPT.
In this podcast, Samuel Scarpino, an expert in the field of AI and life sciences, shares his story of how he transitioned from a field biologist and geneticist to an AI expert. He discusses how his background in biology influences the kind of work he is planning to do at the Institute for Experiential AI. Reflecting on his role in the global response to the COVID-19 pandemic, Scarpino shares his insights on the potential role of AI in helping us prevent another pandemic.
He also discusses the biggest risks to leveraging AI in this context, including issues related to data privacy, government regulation, and data availability. Scarpino sheds light on the field of network science and its importance in the life sciences. He shares his thoughts on the opportunities at the interface of AI and network science and how AI practitioners can benefit from incorporating network science into their work.
Listen to this exciting podcast with insightful answers to provocative questions, with Usama Fayyad and Samuel Scarpino.
Usama Fayyad speaks with Rajesh Parekh - Engineering Director @ Google, former Vice President of Data Science at Groupon. Tune in to hear Rajesh discuss how data was originally used in consumer tech, and his views on the changes in utilization of data and its applications.
Usama Fayyad speaks with Samir Khleif - Biomedical Scholar, Professor of Oncology @ Georgetown University. Tune in to hear Samir discuss the current role of AI in cancer therapeutics, and his views on how AI will help in developing drugs in the future.
Usama Fayyad speaks with Derek White - CEO of Galileo Financial Technologies. Tune in to hear Derek discuss fintech, how humans interact with technology and money, and his views on how human behavior changes with the interface that they engage with.
Usama Fayyad speaks with Oren Etzioni - Founding CEO @ AIlen Institute for AI (AI2), Professor Emeritus @ UW, Venture Partner @ Madrona Venture Group. Tune in to hear Oren discuss deep learning and data modeling, how deep learning is used for different roles, and the importance of recognizing the difference between human intelligence and AI.
Usama Fayyad speaks with Yann LeCun, Professor at NYU and Chief AI Scientist at Meta. Tune in to hear Yann discuss deep learning, the scope of roles which deep learning is used for, and the changes neural nets have gone through over time.
Dr. Usama Fayyad speaks with Troels Oerting, Managing Director of Cyber Security at Barclays. Tune in to hear Troels discuss the relevance of data in cybersecurity, how sharing data can help improve protection, and the obstacles that hinder the sharing of data in cybersecurity.
Dr. Usama Fayyad speaks with Kirk Borne, Chief Science Officer at DataPrime. Tune in to hear Kirk discuss the major differences with ML across domains, and how critical value is derived from the application of AI, ML, and data science.
Dr. Usama Fayyad speaks with Rayid Ghani, Professor at Carnegie Mellon University (Machine Learning & Public Policy) Data Science/AI/ML for Social Good. Tune in to hear Rayid discuss how ML, AI, and data science can be key ingredients to success in our ability to achieve certain tasks.
Dr. Usama Fayyad speaks with Jose Murillo, CEO @ RappiCard Mexico. Tune in to hear Jose discuss his view on the role of AI and machine learning in a business, and why they should be aligned towards value creation.
Dr. Usama Fayyad speaks with Mike Culhane, Group CEO @ Pepper Financial Services Group. Tune in to hear Mike discuss his view on the relevance of AI and data in a financial services company.
In this episode, Dr. Usama Fayyad speaks with Gregory Piatetsky-Shapiro, Founder & President of KDnuggets, the leading platform for AI, analytics, big data, data science and machine learning. Tune in to hear Gregory discuss the advances in algorithms compared to the growth in data, and the heavy dependence of algorithms on data.
In this episode, Dr. Usama Fayyad speaks with Tina Eliassi-Rad, Professor and Core Member of the Institute for Experiential AI & Network Sciences @ Northeastern University. Tune in to hear Tina discuss situations where machine learning and data science were key ingredients to success, machine learnings deep data dependence, and the origins of Just ML and what the project is working to do.
In this episode, Dr. Usama Fayyad speaks with Ashok Srivastava, SVP & CDO at Intuit. Tune in to hear Ashok share his experience working in data & AI, what he believes is missing in the field, and where he thinks we're heading.
In this episode, Dr. Usama Fayyad speaks with Kjersten Moody, Chief Data Officer @ Prudential Financial, Former CDO @ Statefarm. Tune in to hear Kjersten discuss why she considers AI to be existentially critical to the future of analytics and financial services.
In this episode, Dr. Usama Fayyad speaks with Dr. Rida Moustafa, Distinguished Data Scientist/Enterprise Decision Scientist @ Walmart. Tune in to hear Rida share his view on how data science & AI are being used to transform the retail industry.
In this episode, Dr. Usama Fayyad speaks with Dr. Evangelos Simoudis, Founder & Managing Partner of Synapse Partners. Tune in to hear Evangelos share his view on the importance of mobility data, and how data & AI will become key ingredients for the automaker industry to develop new mobility.
In the most recent episode, Dr. Usama Fayyad talks to one of the pioneers of modern information retrieval and search Dr. Ricardo Baeza-Yates, Director of Research @ Northeastern Institute for Experiential AI and Founder & Director of Research @ OptIA. Dr. Ricardo specializes in responsible AI and ethical issues of AI. Tune in to hear Ricardo share his thoughts on the biggest pitfalls caused by AI and search algorithms, data usage and what we need to do to detect and minimize the harm of these pitfalls.
In this episode, Dr. Usama Fayyad speaks with the CEO of a company that has products sold in almost every country and have a market cap over $16 billion dollars. Tune in to hear Bracken Darrell, CEO & President @ Logitech, share his thoughts on the impact of data and AI on industries, what he thinks the future of work is going to look like and how we should all be constantly innovating and learning. From his first job as an accountant, to being a global leader, Bracken is an industry veteran that has seen it all.
From the epicenter of the big data revolution, Amr Awadallah has a unique perspective on platforms. On this weeks episode of "Data & AI Legends" Amr shares his war stories on data, AI and tech democratization, taken from a career leading teams at Yahoo!, Google, and co-founding Cloudera. Tune in to hear Amr’s story, advice, and experience.
In this episode, Dr. Usama Fayyad speaks with Dr. Ibrahim Gokcen, former CTO @ Schneider Electric and CDO @ Maersk & others, about how large enterprises make use of data and AI, addressing the pragmatic issues with real world problems and applications.