FoWParticipants
September 23, 2019
Imagine all the People and AI in the Future of Work
Shonan Village Workshop on FoW Sep 8-12, 2019 We envision the Future of Work (FoW) to be a place where humans are empowered with the ability to rely on AI machines in an on-demand fashion, with ability to juggle diverse job opportunities that provide intellectual self-actualization, and enhance their capabilities by continuous knowledge and skill […]
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Kurt Stockinger
June 20, 2019
The Rise of Natural Language Interfaces to Databases
The vision of natural language interfaces to databases (NLIDBs) is to make data stores more accessible for a wide range of non-tech savvy end users with the ultimate goal to talk to a database (almost) like to a human. While initially the database community focused on relational databases, there is currently a renaissance of building […]
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Yunyao Li and Shivakumar Vaithyanathan
November 14, 2018
Role of AI in Enterprise Applications
The recent return of AI summer and the enthusiastic uptake of AI in the commercial world can be loosely attributed to three innovations: Apple’s Siri, Google’s self-driving cars, and IBM Watson Jeopardy. This enthusiasm stems from the belief that AI will influence a wide range of applications across multiple industry segments. While such enthusiasm is, […]
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Amol Deshpande, Ashwin Machanavajjhala
October 9, 2018
Privacy Challenges in the Post-GDPR World: A Data Management Perspective
After being largely neglected in the rush to capitalize on the promise and the potential of Big Data, data privacy and data stewardship issues have resurfaced in industry with a vengeance over the last year. This has been driven, in part, by the increased scrutiny by regulatory bodies all over the world and subsequent legislations, […]
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Arun Kumar
August 21, 2018
ML/AI Systems and Applications: Is the SIGMOD/VLDB Community Losing Relevance?
Overview of DEEM 2018 The ACM SIGMOD Second Workshop on Data Management for End-to-End Machine Learning (DEEM) was successfully held last June in Houston, TX. The goal of DEEM is to bring together researchers and practitioners at the intersection of applied machine learning (ML) and data management/systems research to discuss data management/systems issues in ML […]
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