The Fifth Elephant 2017
On data engineering and application of ML in diverse domains
Thursday 27 July 2017
Auditorium
Banquet hall
Room 1
08:15–09:30
Check-in and breakfast
09:30–09:40
Stretching session
09:30–09:40
HasGeek app demo
09:40–10:25
Lessons learned from building a globally distributed database service from the ground up.
Dharma Shukla, Microsoft
09:40–10:25
How we built our machine intelligence to help humans save lives.
Zainul Charbiwala, Tricog
10:25–11:10
Fraud detection and risk management in payment systems implemented using a hybrid memory database.
Srini V. Srinivasan, Aerospike
10:25–10:35
Stretching session
10:35–10:55
Sponsored talk: Developing and deploying analytics for IoT.
Amit Doshi, MathWorks
10:55–11:35
Interactive real-time dashboards on data streams using Kafka, Druid and Superset.
Nishant Bangarwa, Hortonworks
11:10–11:45
Morning beverage break (auditorium)
11:35–12:05
Morning beverage break (banquet hall)
11:45–12:00
Introductions to The Fifth Elephant and Anthill Inside; HasGeek app demo
12:00–12:45
Distributed consensus and data safety: NewSQL perspective
Vijay Srinivas Agneeswaran
12:05–12:35
Transforming India's budgets into open linked data.
Gaurav Godhwani, OpenBudgetsIndia.org and DataKind
12:35–13:05
Open data in government: challenges, and the case of Telangana Open Data initiative.
Rakesh Dubbudu, Factly
12:45–12:55
Stretching session
12:55–13:40
What database? - a practical guide to selection from NoSQL, SQL and Polyglot data stores
Regunath Balasubramanian
13:05–14:05
Lunch break (banquet hall)
13:40–14:40
Lunch break (auditorium)
14:05–14:25
Wait, I can explain this! ML models explaining their predictions.
Ramprakash R, Zoho Corporation
14:05–15:05
Off The Record (OTR) session: "Using open data in different scenarios – challenges and opportunities."
14:25–14:35
Stretching session
14:35–15:20
From a recommendations carousel to personalizing entire app: personalization story at Paytm.
Charumitra Pujari, Paytm
14:40–15:00
Q&A with speakers on data stores and databases.
Dharma Shukla, Srini Srinivasan, Vijay Sreenivas Agneeswaran and Regunath Balasubramanian
15:00–15:10
Stretching session
15:10–15:30
Distributed ML: challenges and opportunities.
Anand Chitipothu, Rorodata
15:15–16:00
Off The Record (OTR) session: "Interesting problems to solve with data science."
Led by Sritulasi E, Suchana Seth, Ashwin Kumar
15:20–15:40
Adapting bandit algorithms to optimise user experience at Practo Consult.
Santosh GSK, Practo
15:30–16:00
Suuchi: toolkit to build distributed systems.
Sriram R, Indix
15:40–16:10
Evening beverage break (banquet hall)
16:00–16:30
Evening beverage break (auditorium)
16:10–17:10
Off The Record (OTR) session: "Fairness, Accountability and Transparency (FAT) in ML."
Facilitated by Alok Prasanna Kumar with Suchana Seth, Suhaan Mukerji, Harsh Gupta, Paul Meinshausen
16:30–17:15
Machine Learning: from practice to production.
Ramanan Balakrishnan, Semantics3
17:10–17:40
Flash talks: presentations by the audience
17:15–18:15
Off The Record (OTR) session: "Data science in production."
Led by Bargava S, Anand C, Ragotham S.
18:15–22:00
The Fifth Elephant 2017 and Anthill Inside 2017 "Networking Data Scientist dinner."
Friday 28 July 2017
Auditorium
Banquet hall
Room 1
08:15–09:30
Check-in and breakfast
09:30–10:15
Interactive data visualisation using Markdown.
Amit Kapoor, narrativeVIZ Consulting
09:30–09:40
Stretching session
09:40–10:25
Bits and joules: data-driven energy systems.
Deva P. Seetharam, Dataglen
10:15–10:35
What explains our marks?
Anand S, Gramener
10:25–11:10
Do you know what's on TV?
Bharath Mohan, Sensara.TV
10:35–11:20
Maps ❤️ Data: a voyage across the world of geo-visualization.
Rasagy Sharma, Mapbox
11:10–11:40
Morning beverage break (banquet)
11:20–11:50
Morning beverage break (auditorium)
11:40–12:25
Designing ML pipelines for mining transactional SMS messages
Paul Meinshausen, Montane Ventures
11:50–12:00
Stretching session
12:00–12:45
Off The Record (OTR) session: "Finance data analytics."
12:00–12:45
Off The Record (OTR) session: "Data Visualization."
Facilitators: S Anand, Rasagy Sharma, Amit Kapoor
12:25–12:45
Q&A with presenters on use cases
Paul Meinshausen and Bharath Mohan
12:45–13:30
Gabbar: Machine learning to guard OpenStreetMap
Bhargav Kowshik, Mapbox
12:45–13:45
Lunch break (banquet hall)
13:30–14:30
Lunch break (auditorium)
13:45–14:05
How we are building serverless architectures for Deep Learning and NLP at Episource.
Manas Ranjan Kar, Episource
13:45–14:30
Off The Record (OTR) session: "Worst disaster stories in ML."
Led by Bargava S
14:05–14:25
Plumbing data science pipelines.
Krishnapriya Satagopan, Mad Street Den
14:25–14:55
Governance using Apache Atlas: why and how.
Vimal Sharma, Hortonworks
14:30–15:15
5 Lessons I’ve Learned Tackling Product Matching for E-commerce
Govind Chandrasekhar, Semantics3
14:30–15:15
Off The Record (OTR) session: "Spark: use cases and challenges in production."
14:55–15:05
Stretching session
15:05–16:05
Off The Record (OTR) session: "Securing data stored in the cloud for big data analysis."
Anand V, Sandesh Anand, Girish Patil
15:15–15:25
Stretching session
15:25–16:25
Off The Record (OTR) session: "ML and data engineering in fleet management and logistics."
Ashwin Kumar (data scientist at Uber), Vinayak Hegde (ZoomCar), Pranav Saxena (product manager at Flipkart)
15:25–16:10
Off The Record (OTR) session: "Experiences and challenges in working with Druid."
Led by Nishant Bangarwa
16:05–16:35
Evening beverage break (banquet hall)
16:25–17:05
Evening beverage break (auditorium)
16:25–17:25
Off The Record (OTR) session: "Learning data science."
Led by Bargava S, Amit Kapoor
17:05–17:25
Augmenting Solr’s NLP capabilities with Deep Learning features to match images.
Kumar Shubham, DataWeave
17:25–18:10
Near real-time indexing/search in e-commerce marketplace: approaches and learnings.
Umesh Prasad, LucidWorks
17:25–17:40
Feedback and closing
17:40–18:25
Flash talks – presentations by the audience
18:10–18:25
Feedback and closing