On data engineering and application of ML in diverse domains
Login to save
08:15 AM – 10:00 PM IST
08:15 AM – 06:25 PM IST
Submissions are closed for this project
MLR Convention Centre, Whitefield, Bengaluru,
Do you know what's on TV?
Bharath Mohan, Sensara.TV
Bits and joules: data-driven energy systems.
Deva P. Seetharam, Dataglen
Plumbing data science pipelines.
Krishnapriya Satagopan, Mad Street Den
How we are building serverless architectures for Deep Learning and NLP at Episource.
Manas Ranjan Kar, Episource
Suuchi: toolkit to build distributed systems.
Sriram R, Indix
Distributed ML: challenges and opportunities.
Anand Chitipothu, Rorodata
From a recommendations carousel to personalizing entire app: personalization story at Paytm.
Charumitra Pujari, Paytm
Wait, I can explain this! ML models explaining their predictions.
Ramprakash R, Zoho Corporation
Adapting bandit algorithms to optimise user experience at Practo Consult.
Santosh GSK, Practo
Open data in government: challenges, and the case of Telangana Open Data initiative.
Rakesh Dubbudu, Factly
Augmenting Solr’s NLP capabilities with Deep Learning features to match images.
Kumar Shubham, DataWeave
Distributed consensus and data safety: NewSQL perspective
Vijay Srinivas Agneeswaran
Transforming India's budgets into open linked data.
Gaurav Godhwani, OpenBudgetsIndia.org and DataKind
Sponsored talk: Developing and deploying analytics for IoT.
Amit Doshi, MathWorks
Interactive real-time dashboards on data streams using Kafka, Druid and Superset.
Nishant Bangarwa, Hortonworks
Gabbar: Machine learning to guard OpenStreetMap
Bhargav Kowshik, Mapbox
Machine Learning: from practice to production.
Ramanan Balakrishnan, Semantics3
What explains our marks?
Anand S, Gramener
Maps ❤️ Data: a voyage across the world of geo-visualization.
Rasagy Sharma, Mapbox
Designing ML pipelines for mining transactional SMS messages
Paul Meinshausen, Montane Ventures
What database? - a practical guide to selection from NoSQL, SQL and Polyglot data stores
Fraud detection and risk management in payment systems implemented using a hybrid memory database.
Srini V. Srinivasan, Aerospike
Lessons learned from building a globally distributed database service from the ground up.
Dharma Shukla, Microsoft