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QCRI - IBM Data Science Connect 2016

Date / Time:
16/11/2016 Download ICS File
Category:
Events
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QCRI–IBM Data Science Connect 2016

 Doha, Qatar

12.30pm –5:30pm, Wednesday, November 16

HBKU Research Complex, Ground Level Multi-Purpose Room
Google Map link to location

https://goo.gl/maps/uFQWyeC8ZJw

 AGENDA

Time

Title

Speaker

12:30pm - 12:45pm

Welcoming

Dr. Ahmed Elmagarmid

& Dr. Jaideep Srivastava

12:45Pm - 01:45pm

Introduction to Cognitive IoT using the IBM Watson IoT Platform, Apache CouchDB, ApacheSpark and the Theano DeepLearning Framework to detect anomal behaviors in chaotic systems

 

Romeo Kienzler

Chief Data Scientist @IBM Watson IoT, Associate Professor for Data Mining @FHBern, ApacheFlink Contributor

https://www.linkedin.com/in/romeo-kienzler-089b4557

01:45pm - 02:15pm

ML4all: a large-scale and cross-platform machine learning system

 

Due to the increasing importance of machine learning (ML) in a large number of domains, there is an urgent need to free users from algorithm and system concerns. In this talk, we will present ML4all, a system that frees users from the burden of algorithm selection and low-level implementation details. In particular, our system uses a new abstraction that is capable of solving most ML tasks. It also provides a cost-based optimizer on top of the proposed abstraction for choosing the best gradient descent algorithm in a given setting. Furthermore, ML algorithms can leverage platform-independence and cross-platform execution to boost their performance. In this talk, we will also show how ML4all leverages Rheem, a novel cross-platform framework, to achieve this. Especially, we will show how mixing single-node systems with big data processing platforms can speed up ML algorithms, such as SGD. Combining all these features together, ML4all can achieve orders of magnitude better performance than baseline systems.

 

http://da.qcri.org/rheem/ml4all.html

Dr. Zoi Kaoudi, Dr. Jorge Quiane Ruiz

02:15pm - 02:45pm

Arabesque

a distributed graph mining system that enables quick and easy development of graph mining algorithms, while providing a scalable and efficient execution engine running on top of Hadoop.

Marco Serafini / Eslam Hussein

02:45pm - 03:15pm

AIDR(Artificial Intelligence for Digital Response): Use case of Tweet Sense disambiguate

Ji Lucas

03:15pm - 03:30pm

break

03:30pm - 04:30pm

Hands-On Workshop on Cognitive IoT using the IBM Watson IoT Platform and ApacheSpark

Romeo Kienzler

Chief Data Scientist @IBM Watson IoT, Associate Professor for Data Mining @FHBern, ApacheFlink Contributor

https://www.linkedin.com/in/romeo-kienzler-089b4557

04:30pm - 05:00pm

- FAST(Forecast and Analytics of Social Media and Traffic)

a first-of-a-kind scalable platform that produces real-time traffic predictions, including accurate forecasts of the future number of pageviews of an article. We will go through how its architecture & technology

Abdelkader Lattab (FAST)

05:00pm - 05:30pm

Closing


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