In 2014, infrastructure components such as Hadoop, Berkeley Data Stack and other commercial tools have stabilized and are thriving. The challenges have moved higher up the stack from data collection and storage to data analysis and its presentation to users. The focus for this year’s conference on analytics – the infrastructure that powers analytics and how analytics is done.
Talks will cover various forms of analytics including real-time and opportunity analytics, and technologies and models used for analyzing data.
Proposals will be reviewed using 5 criteria:
Domain diversity – proposals will be selected from different domains – medical, insurance, banking, online transactions, retail. If there is more than one proposal from a domain, the one which meets the editorial criteria will be chosen.
Novelty – what has been done beyond the obvious.
Insights – what insights does the proposal share with the audience that they did not know earlier.
Practical versus theoretical – we are looking for applied knowledge. If the proposal covers material that can be looked up online, it will not be considered.
Conceptual versus tools-centric – tell us why, not how. Tell the audience what was the philosophy underlying your use of an application, not how an application was used.
Presentation skills – proposer’s presentation skills will be reviewed carefully and assistance provided to ensure that the material is communicated in the most precise and effective manner to the audience.
For queries about proposals / submissions, write to email@example.com
Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.
Data Storage, Caching and Management – Distributed storage (such as Gluster, HDFS) or hardware-specific (such as SSD or memory) or databases (Postgresql, MySQL, Infobright) or caching/storage (Memcache, Cassandra, Redis, etc).
Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.
Big data and security
Big data and internet of things
Data Usage and BI (Business Intelligence) in different sectors.
Please note: the technology stacks mentioned above indicate latest technologies that will be of interest to the community. Talks should not be on the technologies per se, but how these have been used and implemented in various sectors, enterprises and contexts.
Using Data for Art
Why listen to a talk on art in a conference focused on technologies that power analytics? Because beyond the world of functional, need based & user-centered applications is a much more diverse world of data art. A field that has lesser constraints, and more opportunity for creative expression. Not only would it be exciting for any data enthusiast to see how technology & data are being used by the new breed of artists today, it’ll open up the narrow view of how data can be represented (and hopefully motivate you to try something new!).
Through this talk I aim to introduce the essence of using data in art, various media & properties that can be leveraged, and a quick primer on Generative Art. I hope this will excite beginners to pursue this alternative way of using data, and let the experts take a break from conventional analytics & visualizations and enjoy something different.
A talk on Data Art for a tech-focused audience must introduce the essence of art (vs design) and the purpose of creating art. I’ll introduce the field with a few teasers (conventional art vs data art) and then introduce the modes in which data can be mapped in the final art form (mostly visual attributes, and a bit of other forms of media too). This will be followed by an introduction to Generative Systems in art, where an art form evolves from data (and isn’t completely controlled by an artist) and a categorization of these systems (with hand picked examples) that I had explored recently.
I’m Rasagy Sharma, and I visualize data at Microsoft IDC. I’m a recent post graduate from National Institute of Design, Bangalore where I pursued Information & Interface Design, which had a heavy focus on Data Visualization.
I’ve recently been interested in Generative Systems to create art, and this talk will leverage on my research for my Colloquium paper on Creative Coding, in which I categorized ~100 generative art projects and the popular media used.