Videos

The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

Augmenting Solr’s NLP capabilities with Deep Learning features to match images.

Augmenting Solr’s NLP capabilities with Deep Learning features to match images.

Kumar Shubham, DataWeave

20 minutes28 July 2017
Plumbing data science pipelines.

Plumbing data science pipelines.

Krishnapriya Satagopan, Mad Street Den

17 minutes28 July 2017
How we are building serverless architectures for Deep Learning and NLP at Episource.

How we are building serverless architectures for Deep Learning and NLP at Episource.

Manas Ranjan Kar, Episource

20 minutes28 July 2017
Gabbar: Machine learning to guard OpenStreetMap

Gabbar: Machine learning to guard OpenStreetMap

Bhargav Kowshik, Mapbox

38 minutes28 July 2017
Designing ML pipelines for mining transactional SMS messages

Designing ML pipelines for mining transactional SMS messages

Paul Meinshausen, Montane Ventures

33 minutes28 July 2017
Maps ❤️ Data: a voyage across the world of geo-visualization.

Maps ❤️ Data: a voyage across the world of geo-visualization.

Rasagy Sharma, Mapbox

36 minutes28 July 2017
Do you know what's on TV?

Do you know what's on TV?

Bharath Mohan, Sensara.TV

45 minutes28 July 2017
What explains our marks?

What explains our marks?

Anand S, Gramener

18 minutes28 July 2017
Bits and joules: data-driven energy systems.

Bits and joules: data-driven energy systems.

Deva P. Seetharam, Dataglen

36 minutes28 July 2017
Machine Learning: from practice to production.

Machine Learning: from practice to production.

Ramanan Balakrishnan, Semantics3

39 minutes27 July 2017
Suuchi: toolkit to build distributed systems.

Suuchi: toolkit to build distributed systems.

Sriram R, Indix

30 minutes27 July 2017
Adapting bandit algorithms to optimise user experience at Practo Consult.

Adapting bandit algorithms to optimise user experience at Practo Consult.

Santosh GSK, Practo

18 minutes27 July 2017
Distributed ML: challenges and opportunities.

Distributed ML: challenges and opportunities.

Anand Chitipothu, Rorodata

19 minutes27 July 2017
From a recommendations carousel to personalizing entire app: personalization story at Paytm.

From a recommendations carousel to personalizing entire app: personalization story at Paytm.

Charumitra Pujari, Paytm

37 minutes27 July 2017
Wait, I can explain this! ML models explaining their predictions.

Wait, I can explain this! ML models explaining their predictions.

Ramprakash R, Zoho Corporation

23 minutes27 July 2017
What database? - a practical guide to selection from NoSQL, SQL and Polyglot data stores

What database? - a practical guide to selection from NoSQL, SQL and Polyglot data stores

Regunath Balasubramanian

39 minutes27 July 2017
Open data in government: challenges, and the case of Telangana Open Data initiative.

Open data in government: challenges, and the case of Telangana Open Data initiative.

Rakesh Dubbudu, Factly

29 minutes27 July 2017
Transforming India's budgets into open linked data.

Transforming India's budgets into open linked data.

Gaurav Godhwani, OpenBudgetsIndia.org and DataKind

30 minutes27 July 2017
Distributed consensus and data safety: NewSQL perspective

Distributed consensus and data safety: NewSQL perspective

Vijay Srinivas Agneeswaran

43 minutes27 July 2017
Interactive real-time dashboards on data streams using Kafka, Druid and Superset.

Interactive real-time dashboards on data streams using Kafka, Druid and Superset.

Nishant Bangarwa, Hortonworks

41 minutes27 July 2017
Sponsored talk: Developing and deploying analytics for IoT.

Sponsored talk: Developing and deploying analytics for IoT.

Amit Doshi, MathWorks

16 minutes27 July 2017
Fraud detection and risk management in payment systems implemented using a hybrid memory database.

Fraud detection and risk management in payment systems implemented using a hybrid memory database.

Srini V. Srinivasan, Aerospike

30 minutes27 July 2017
Lessons learned from building a globally distributed database service from the ground up.

Lessons learned from building a globally distributed database service from the ground up.

Dharma Shukla, Microsoft

42 minutes27 July 2017

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