Schedule

The Fifth Elephant 2019

Gathering of 1000+ practitioners from the data ecosystem

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Auditorium 1

Auditorium 2

Auditorium 3

Birds of Feather (BOF) area

09:15–09:30

Introduction to The Fifth Elephant 2019

09:15–09:25

Introduction to sessions in Audi 2

09:25–10:10

ADAM - Bootstrapping a deep NN-based sequence labeling model with minimal labeling

Shashank Jaiswal, Data scientist at Clustr

09:30–10:10

Solving the vehicle routing problem for optimizing shipment delivery

Venkateshan, Data Scientist at Logistics and Insight team at Flipkart

10:10–10:55

Ghostbusters: optimizing debt collections with survival models

Fasih Khatib, Data Scientist at Simpl

10:10–11:40

Tutorial on core concepts in Social Network Analysis (SNA)

Sandeep Khurana, Data Scientist

10:20–11:35

Invite-only round table on "Ground truths and platform engineering" by Flipkart's Fulfilment and Services Group (FSG)

10:55–11:25

Morning beverage break

11:25–12:00

10 steps to build your own data pipeline from day one of your startup

Kumar Puspesh, CTO and co-founder at Moonfrog

11:35–12:05

Morning beverage break

11:40–12:10

Morning beverage break

12:00–12:40

Sponsored talk: Age of AI Ops

Nitin Gupta, AppDynamics Data Platform lead

12:05–13:20

Invite-only round table on "Ground truths and platform engineering" by Flipkart's Fulfillment and Supply Group (FSG)

12:10–12:55

Taking deep learning to production with RedisAI

Sherin Thomas, Senior software architect at Tensorwerk

12:40–13:20

Anatomy of a production ML feature engineering platform

Venkata Pingali, CEO and co-founder of Scribble Data

12:55–13:55

Lunch break

13:20–14:20

Lunch break

13:20–14:00

Lunch break

13:55–15:25

Tutorial: Taking deep learning to production with RedisAI

Sherin Thomas, Senior software architect at Tensorwerk

14:00–15:00

Birds of Feather (BOF) session: Tackling the complex inter-dependent challenges in transport planning and assignment

Venkateshan Kannan, Flipkart

14:20–14:35

Joint Q&A on data pipelines, operations and scaling challenges

Kumar Puspesh, Nitin Gupta and Venkata Pingali

14:35–15:20

The Anaconda journey: challenges faced in building an OSS business with data

Peter Wang, Co-founder of Anaconda, Inc

15:00–16:00

Birds of a Feather (BOF) session: Creating a data-driven culture in the startup ecosystem

Akash Khandelwal, Flipkart

15:20–16:00

The final stage of grief (about bad data) is acceptance

Chris Stucchio, Head of data science at Simpl

15:25–15:55

Evening beverage break

15:55–16:55

Birds of Feather (BOF) session: Building fulfillment platforms -- India's eCommerce landscape

Govind Pandey; members of Flipkart's FSG team

16:00–16:15

Joint Q&A on bad data and failures in data management

Peter Wang and Chris Stucchio

16:00–16:30

Evening beverage break

16:15–16:45

Evening beverage break

16:30–17:30

Birds of Feather (BOF) session: On ML platforms

Venkata Pingali, ScribbleData

16:45–17:15

Contracts, schema evolution and data pipelines

Agam Jain, Technology Architect at Zapr

16:55–17:30

Flash talks: by participants

17:15–17:45

Analysing high throughput data in real-time

Namit Mahuvakar

Auditorium 1

Auditorium 2

Auditorium 3

Birds of Feather (BOF) area

09:20–09:30

Introduction to Day 2; recap of Day 1

09:20–09:30

Introduction to sessions in Audi 2

09:30–10:15

Leveraging the power of analytics for MarTech

Jacob Joseph, Data Scientist at Clevertap

09:30–10:10

Similarity search for product matching at Semantics3

Abishek Bhat, Member of data science team at Semantics3

10:10–10:40

Improving product discovery via hierarchical recommendations

Neha Kumari, Software developer with Recommendation team at Flipkart

10:15–10:55

Demystifying Social Network Analysis (SNA)

Sandeep Khurana, Data Scientist

10:15–10:55

BoF on ML and Kubernetes

Krishna Durai, Ravishanker KS

10:40–11:10

Morning beverage break

10:55–11:25

Morning beverage break

10:55–11:25

Morning beverage break

11:10–13:10

Tutorial: Meet TransmogrifAI, Open Source AutoML powering Salesforce Einstein

Rajdeep Dua, Salesforce

11:25–12:05

Technology to counter misinformation/disinformation

Pratik Sinha, Co-founder at Alt News

11:25–12:25

Challenges and approaches for instrumenting and cleaning 'real'/ ugly data

Kranthi Mitra

11:45–12:30

Birds of a Feather: ML in production

Simrat Hanspal

12:05–12:40

Sponsored talk: Feed generation at ShareChat

Ayush Mittal, Lead data scientist at ShareChat

12:25–13:25

Birds of Feather (BOF) session: Controlling narratives on Twitter

Pratik Sinha, Sandeep Khurana

12:30–13:15

Birds of Feather (BOF) session: On data science and its applications in agriculture

Karnam Vasudeva Rao

12:40–13:05

Data security and startups: make the ends meet

Shadab Siddiqui, Head of Information Security at Hotstar

13:05–14:00

Lunch break

13:10–14:00

Lunch break

13:25–14:00

Lunch break

14:00–14:20

Why data privacy is critical for robust data management?

Peter Wang, Co-founder of Anaconda, Inc

14:00–14:40

How GO-FOOD built a query semantics engine to help you find food faster

Ishita Mathur, Data scientist at GO-JEK

14:00–15:05

Birds of Feather (BOF) session: On multi-tenancy in ML -- the SaaS perspective

Swaminathan Padmanabhan, Director of Data Science initiatives at Freshworks

14:00–15:00

Birds of Feather (BOF) session: On Interpretability of ML Models

Namrata Hanspal

14:20–14:45

How to build blazingly fast distributed computing like Apache Spark In-house?

Upendra Singh, Full stack data scientist at Clustr

14:40–15:00

Demo session: Samantar: an open assistive translation framework for Indic Language

Deepthi Chand

14:45–15:15

A journey through Cosmos to understand users

Avinash Ramakanth, Tech lead at InMobi

15:00–16:15

Demo sessions: share your idea; get feedback

15:00–16:00

Birds of Feather (BOF) session: Anomaly detection at large scale (for data security)

Shadab Siddiqui, Bargava Subramanian

15:10–16:15

Birds of Feather (BOF) session: On intent classification and personalization

Ramanan Balakrishnan, Semantics3

15:15–15:20

Flash talk on MUDPIPE: malicious URL detection for phishing identification and prevention

Arjun BM, Security architect at Target

15:20–15:45

Flash talks by the audience

15:45–16:15

Evening beverage break

16:00–16:45

Unpacking the Learning Paradigms

Amit Kapoor

16:15–16:55

How we built a ML model to predict proteins for insecticidal activity?

Karnam Vasudeva Rao, Senior data scientist at Bayer

16:15–16:45

Evening beverage break

16:15–16:45

Evening beverage break

16:45–17:30

Birds of Feather (BOF) session: On ML Model Management

Ravi Ranjan

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