Proposals
The Fifth Elephant round the year submissions for 2019

The Fifth Elephant round the year submissions for 2019

Submit a talk on data, data science, analytics, business intelligence, data engineering and ML engineering

The Fifth Elephant

The Fifth Elephant is HasGeek’s annual conference on big data and analytics.

Propose a session

Call for proposals

If you missed the deadline for submitting your talk for The Fifth Elephant 2019 – to be held in Bangalore on 25 and 26 July – you can propose a talk here.

We are accepting talks on:

  1. Data engineering – engineering and architecture approaches; problems that teams were attempting to solve (and therefore the solutions that they built).
  2. ML engineering – engineering and architecture approaches; problems that teams were attempting to solve (and therefore the solutions that they built).
  3. Data science – and its applications in diverse domains.
  4. Open source algorithms
  5. Data privacy and its solutions in technology; engineering implementations of HIPPA compliance, GDPR and other data protection frameworks.
  6. Data security – standards, approaches to solving data security, challenges and problems to solve for data security at scale.
  7. Business intelligence – how non-technical teams are accessing data in companies to mine intelligence; approaches to BI; real-life case studies and applications of BI; what counts as business intelligence for businesses.
  8. Decision science.

Propose a session

All proposals

Case study: Outbound logistics optimization for multi depot problem with time window

Amit Garg (@garg108)

  • 0 comments
  • Thu, 25 Jul

Data Science for the discretionary managers: Lessons from a 60 trillion$ traditional industry resistant to change and facing the quant threat

Chandini Jain (@chandinijain)

  • 0 comments
  • Fri, 19 Jul

Machine Learning Model Management with MLflow

Ravi Ranjan (@raviranjan03)

  • 0 comments
  • Mon, 15 Jul

Building a data pipeline inside and outside a vehicle

Chaitanya Hegde (@chaitanyahegde)

  • 1 comments
  • Tue, 9 Jul

Deploying Deep Learning models on the Edge (Android, IOS, ...)

A Naveen Kumar (@4nonymou5)

  • 0 comments
  • Fri, 5 Jul

Anomaly Detection at Scale: Architectural Choices for Data Pipelines for 7B events per day

Tuhin Sharma (@tuhinsharma121)

  • 0 comments
  • Mon, 1 Jul

How to make a kickass data platform with spark and S3

Anshul Singhle

  • 5 comments
  • Mon, 1 Jul

Building a Location Intelligence Platform for audience segmentation

Sanjoy Bose (@sanjoybsahaj)

  • 4 comments
  • Tue, 18 Jun

Real-Time DataQuality on Flink

Jaydeep Vishwakarma

  • 4 comments
  • Mon, 17 Jun

Interpretable NLP Models

Logesh kumar (@infinitylogesh)

  • 3 comments
  • Fri, 31 May

Panel Discussion around Healthcare Analytics

usha rengaraju (@usharengaraju)

  • 0 comments
  • Tue, 21 May

Deep Learning powered Genomic Research

usha rengaraju (@usharengaraju)

  • 0 comments
  • Tue, 21 May

A Journey of Building Dream11's Data Platform

Pradip Thoke (@thokepradip)

  • 2 comments
  • Fri, 10 May

Websites to Datasets

Aayushi Pathak (@09aayushi) (proposing)

  • 2 comments
  • Thu, 9 May

Finding needles in high dimensional haystacks: Product Matching in Retail

Aayushi Pathak (@09aayushi) (proposing)

  • 10 comments
  • Wed, 1 May

Building a large-scale Data as a Service (DaaS) platform to consistently deliver high-quality datasets

Aayushi Pathak (@09aayushi) (proposing)

  • 4 comments
  • Wed, 1 May