I was listening at R. Martin Chavez, Goldman Sachs deputy CFO just last month in Harvard at the ComputeFest 2017 event, more precisely, the SYMPOSIUM ON THE FUTURE OF COMPUTATION IN SCIENCE AND ENGINEERING on "Data, Dollars, and Algorithms: The Computational Economy" held in Harvard on Thursday, January 19, 2017. His claim was that Banks are essentially API providers. The … Continue reading The role of Big Data in Banks
After months of preparation, here we are. This week we kicked off the second edition of the DataShack program on Data Science that brings together interdisciplinary teams of data science, software engineering & computer science, and design students from Harvard (Institute of Applied Computational Science) and Politecnico di Milano (faculties of Engineering and Design). The … Continue reading The Harvard-Politecnico Joint Program on Data Science in full bloom
On Friday, January 22, 2016 I attended a very interesting symposium organised by Harvard University Institute for Computational Science on "BRAIN + MACHINES: EXPLORING THE FRONTIERS OF NEUROSCIENCE AND COMPUTER SCIENCE". Although it fell outside my main research fields, I found it very interesting and enlightening. And the discussed topics could also imply some crucial … Continue reading "What’s special about us?" Harvard computational science symposium on Brain+Computer systems
V.S. Subrahmanian (Univ. of Maryland)As part of the Data Management in the Social Semantic Web workshop (DMSSW workshop) at the ASONAM 2012 conference in Istanbul, Turkey, V.S. Subrahmanian (University of Maryland) gave an interesting talk on efficient subgraph matching on (social) networks.Queries are defined as graphs themselves, with some of the places defined as constants … Continue reading Efficient Subgraph Matching – Keynote by V.S. Subrahmanian at ASONAM 2012
This post is about the insights I got from the interesting keynote speech by David Campbell (Microsoft) on Big Data Challenges that was given on August 31st 2011 at VLDB 2011, Seattle.The challenge of big data is not interesting just because of the "big" per sè. It's a multi-faceted concept and all the perspectives need … Continue reading Keynote by David Campbell (Microsoft) on Big Data Challenges at VLDB 2011, Seattle
