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 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

Date

Bangalore

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

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

Chandini Jain (@chandinijain)

  • 1 upvotes
  • 0 comments
  • Fri, 19 Jul

Machine Learning Model Management with MLflow

Ravi Ranjan (@raviranjan03)

  • 1 upvotes
  • 0 comments
  • Mon, 15 Jul

Building a data pipeline inside and outside a vehicle

Chaitanya Hegde (@chaitanyahegde)

  • 1 upvotes
  • 1 comments
  • Tue, 9 Jul

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

A Naveen Kumar (@4nonymou5)

  • 1 upvotes
  • 0 comments
  • Fri, 5 Jul

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

Tuhin Sharma (@tuhinsharma121)

  • 1 upvotes
  • 0 comments
  • Mon, 1 Jul

How to make a kickass data platform with spark and S3

Anshul Singhle

  • 1 upvotes
  • 5 comments
  • Mon, 1 Jul

Building a Location Intelligence Platform for audience segmentation

Sanjoy Bose (@sanjoybsahaj)

  • 1 upvotes
  • 4 comments
  • Tue, 18 Jun

Real-Time DataQuality on Flink

Jaydeep Vishwakarma

  • 1 upvotes
  • 4 comments
  • Mon, 17 Jun

Interpretable NLP Models

Logesh kumar (@infinitylogesh)

  • 1 upvotes
  • 3 comments
  • Fri, 31 May

Panel Discussion around Healthcare Analytics

usha rengaraju (@usharengaraju)

  • 1 upvotes
  • 0 comments
  • Tue, 21 May

Deep Learning powered Genomic Research

usha rengaraju (@usharengaraju)

  • 1 upvotes
  • 0 comments
  • Tue, 21 May

A Journey of Building Dream11's Data Platform

Pradip Thoke (@thokepradip)

  • 1 upvotes
  • 2 comments
  • Fri, 10 May

Websites to Datasets

Aayushi Pathak (@09aayushi) (proposing)

  • 2 upvotes
  • 2 comments
  • Thu, 9 May

Finding needles in high dimensional haystacks: Product Matching in Retail

Aayushi Pathak (@09aayushi) (proposing)

  • 1 upvotes
  • 9 comments
  • Wed, 1 May

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

Aayushi Pathak (@09aayushi) (proposing)

  • 1 upvotes
  • 4 comments
  • Wed, 1 May