A Journey towards Explainable AI and its Societal Implications
A Journey towards Explainable AI and its Societal Implications 23rd November, 2020 Debasis Ganguly is a research staff member of IBM Research Europe, Dublin, Ireland. His research interests broadly span across topics such as semantic matching, trusted and fair AI, model interpretability, and AI for healthcare. He obtained his masters in computer science from the […]
Doing Good with Data- Fairly and Equitably
Doing Good with Data- Fairly and Equitably 21st November, 2020 A Professor in the Machine Learning Department (in the School of Computer Science) and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He works on developing and using Machine Learning, AI, and Data Science methods for solving high impact social […]
How entrepreneurial approach can drive Agriculture fuelled by AI and IoT
How entrepreneurial approach can drive Agriculture fuelled by AI and IoT 7th November, 2020 Bringing solutions to the agrarian & the environmental crisis of the world are the two missions of Jasveer. Coming from a research background and then moving on to entrepreneurship, He has taken it upon himself to build solutions at scale using […]
Applications of Artificial Intelligence Research
Applications of Artificial Intelligence Research 31st October, 2020 Joy Mustafi is associated as Chief Scientist at Aviso to drive the Research and Innovation on Artificial Intelligence and Data Science practices. He has worked as Principal Researcher at Salesforce, primarily responsible for Salesforce Einstein. With over eighteen of experience in corporate, research and academic world. Largely […]
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? 24th October, 2020 Manas Gaur is a Ph.D. Student and Graduate Researcher in the Artificial Intelligence Insitute at the University of South Carolina. His interdisciplinary research with Dr. Amit P. Sheth, funded by NIH and NSF utilizes artificial intelligence, […]
AI Scaling New Heights
AI Scaling New Heights 17th October, 2020 AI is getting democratized to a great extent. In these interesting times the tool sets are continuously evolving and the underlying hardware components are getting purpose built. As a developer or a data scientist, now you have a dream platform that lets you build systems with focus on […]
Generative Models
Generative Models 10th October, 2020 Prior to joining Ashoka, Dr. Ravi Kothari spent about 10 years as a tenured associate professor at the University of Cincinnati, and about 15 years in IBM Research. He was the first-ever Distinguished Engineer from India in IBM’s 100+ years history and held multiple positions at IBM including that of […]
Creating opportunities in Healthcare through AI
Creating opportunities in Healthcare through AI 3rd October, 2020 Dr. Alben completed both MBBS and MD in Pharmacology from St. John’s Medical College, Bengaluru and served as faculty from November 2004 to August 2015. He holds a Master of Science (MSc) degree in Clinical trials from the London school of hygiene and tropical medicine, University […]
AI for Policy and Governance
AI for Policy and Governance 26th September, 2020 Dr. Avik Sarkar is Faculty at the Indian School of Business working in the areas of Data, Emerging Technology, and Public Policy. At ISB, Dr. Sarkar is heading the development of India Data Portal (www.indiadataportal.com), a one-stop portal for analysis and visualization of government data. Dr. Sarkar […]
The Causal Revolution: Moving AI from Association Rules to Causal Understanding
The Causal Revolution: Moving AI from Association Rules to Causal Understanding 19th September, 2020 Dipyaman Sanyal is, also the Program Director for the Postgraduate Program in Data Science and Machine Learning (PGPDM) offered jointly by the University of Chicago, IBM and Jigsaw Academy. At dōnō consulting, Deep and his team create data science frameworks, apply statistical […]
