The Fifth Elephant winter edition 2019
Winter edition of India's most renowned conference on big data and data science
The Fifth Elephant is rated as India’s best conference on big data, data science and application of data to real-life use cases.
It is a conference for practitioners, by practitioners. The Fifth Elephant completed its seventh edition in Bangalore, on 26 and 27 July 2018. The Bangalore edition caters to data and ML engineers, architects, technologists, data scientists, product managers, researchers and business decision-makers.
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Data pipeline on day one of your startup: cost and scale sensitive!
Kumar Puspesh, CTO and co-founder at Moonfrog
41 minutes19 January 2019
Reducing cost of production AI: a feature engineering case study
Venkata Pingali, CEO and co-founder at Scribble Data
26 minutes19 January 2019
Data governance: lessons on data usage and data controls from finance domain
Kaushik Bhatt, Vice President at Wells Fargo
7 minutes19 January 2019
Detecting anomalies within Flipkart's fulfillment network
Govind Pandey, Senior Engineering Manager at Flipkart
29 minutes19 January 2019
Role of data in solving capacity and efficiency problems in real-time logistics
Piyush Srivastava, Director of Engineering for Delivery Team at Swiggy
41 minutes19 January 2019
Patterns for building a scalable Data Platform
Jayesh Sidhwani, Data Infrastructure Team Lead at Hotstar
32 minutes19 January 2019
Advancing Data Science for Financial Inclusion: Trusting Social's Journey
Thuong Nguyen, Research Scientist at Trusting Social
31 minutes19 January 2019
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more