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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Microsoft Research Blog

Calling all aspiring women in Data Science

March 12, 2019 | Vani Mandava

What started as a one-day conference organized by Stanford University in 2015, Women in Data Science (WiDS) has blossomed into a movement bringing together women data scientists and aspiring data scientists via a series of…

Datathon participants at the Microsoft New England Research and Development center. Photo Credit: Dana Quigley

Video

Get Your Data Together! Algorithms for Managing Data Lakes

March 11, 2019 | Erkang (Eric) Zhu

Data lakes (e.g., enterprise data catalogs and Open Data portals) are data dumps if users cannot find and utilize the data in them. In this talk, I present two problems in massive, dynamic data lakes:…

Video: Get Your Data Together! Algorithms for Managing Data Lakes

0:58:25

Microsoft Research Blog

Cloud computing aids researchers in solving the unsolvable in medical data labeling

March 1, 2019 | Vani Mandava

It’s not uncommon for physicians to disagree about a diagnosis. That’s why people often seek a second or third opinion when faced with a serious or complex health concern. What if instead of a second…

Video

Microsoft boosts NSF’s Big Data Regional Innovation Hubs with $3M in cloud computing credits

February 27, 2019 | Gari Clifford, Amit Verma, Samanesh Nasiri

Microsoft Research is proud to support the US-wide National Science Foundation’s (NSF) Big Data Regional Innovation Hubs (BD Hubs) program by awarding $3M in Microsoft Azure cloud computing credits. “Today’s science and engineering enterprise is…

Video: Microsoft boosts NSF’s Big Data Regional Innovation Hubs with $3M in cloud computing credits

0:01:48

Publication

Hydra: a federated resource manager for data-center scale analytics

Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni M. Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan

Symposium on Networked Systems Design and Implementation (NSDI) | February 2019

Publication

Vectorized Character Counting for Faster Pattern Matching

Roman Snytsar

2019 International Conference on Bioinformatics | February 2019

Project

Publication

CRA: A Common Runtime for Applications

Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek

MSR-TR-2019-2 | February 2019

Published by Microsoft

https://github.com/Microsoft/CRA

Project Project

Video

Northwest Database Society Annual Meeting – Session 4

February 8, 2019 | Luis Remis, Torsten Grabs, Donald Kossmann, Arvind Arasu

Northwest Database Society Annual Meeting Session 4: A Visual Data Management System and Overlaying Distributed Database Applications over Blockchains Agenda: 3:00 – 3:15 Luis Remis (Intel Labs): A Visual Data Management System 3:15 – 3:30…

1:20:28

Video

Northwest Database Society Annual Meeting – Session 3

February 8, 2019 | Bailu Ding, Alekh Jindal, Amir Hormati, Mosha Pasumansky

Northwest Database Society Annual Meeting Session 3: Open-Source Technologies for Streaming and State Management, Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering, Towards a Learning Optimizer for Shared Clouds, and more. Agenda: 1:15…

1:02:34

Video

Northwest Database Society Annual Meeting – Session 2

February 8, 2019 | Badrish Chandramouli, Jiannan Wang, Dana Popova, Batya Kenig, Gang Luo, Cong Yan

Northwest Database Society Annual Meeting Session 2: Urban Data Systems, Democratize Data Preparation for AI, CutTheTail, Integrity Constraints Revisited: From Exact to Approximate Implication, Automating Machine Learning Model Building with Big Clinical Data and more.…

Video: Northwest Database Society Annual Meeting - Session 2

1:35:03

Data platforms and analytics

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