Submissions
The Fifth Elephant winter edition 2019

The Fifth Elephant winter edition 2019

Winter edition of India's most renowned conference on big data and data science

Make a submission

Submissions are closed for this project

ISDI ACE, Mumbai

Submission guidelines

The winter edition will cover the following topics: Data engineering Data governance including data quality, version control and trust in data, and workflows in organizations. Leveraging data for business use cases – with analytics and data scienceexpand

The winter edition will cover the following topics:

  1. Data engineering
  2. Data governance including data quality, version control and trust in data, and workflows in organizations.
  3. Leveraging data for business use cases – with analytics and data science
  4. Leveraging data for business use cases – case studies of how and why analytics and data science were applied in organizations.
  5. Inculcating analytical thinking in teams and organizations.

We’d like to hear talks from the following domains:

  1. Media
  2. Payments
  3. Finance
  4. Consumer internet companies

We work with our speakers to help participants from other domains understand and apply insights presented to their use cases. Therefore, individuals and companies from other domains should consider attending the winter edition.

Target audience - who should attend and speak at The Fifth Elephant:

You should attend and speak at The Fifth Elephant if your work involves:

  1. Engineering – ML engineering, data engineering, data-ops
  2. Analytics.
  3. Data science.
  4. Product development - analyzing data to build features for existing products.
  5. Cleaning data and ensuring better data quality.

Format:

The winter edition is a single-day conference. We are accepting sessions for the following formats:

  1. Full talks of 30 minutes.
  2. Crisp talks of 20 minutes.
  3. BOF sessions for 60 minutes duration, on a focussed topic.
  4. Workshops and tutorials of 3-6 hours duration on math and data science, full stack data engineering, and data science concepts and tools. Workshops will be held before and after the conference.

Write to info@hasgeek.com if you are interested in speaking at the winter edition.

Selection criteria:

The first filter for a proposal is whether the technology or solution you are referring to is open source or not. While the winter edition does not include talks on engineering, talks which advertise proprietary solutions will be considered under sponsored sessions category.

Note the following guidelines for sponsored talks:

  1. If the technology or solution is proprietary, and you want to speak about your proprietary solution to make a pitch to the audience, you should pick up a sponsored session. This involves paying for the speaking slot. Write to fifthelephant.editorial@hasgeek.com
  2. If the technology or solution is in the process of being open sourced, we will consider the talk only if the solution is open sourced at least three months before the conference.
  3. If your solution is closed source, you should consider proposing a talk explaining why you built it in the first place; what options did you consider (business-wise and technology-wise) before making the decision to develop the solution; or, what is your specific use case that left you without existing options and necessitated creating the in-house solution.

Selection criteria:

The criteria for selecting proposals, in the order of importance, are:

  1. Key insight or takeaway: what can you share with participants that will help them in their work and in thinking about analytics and the problem space?
  2. Structure of the talk and flow of content: a detailed outline – either as mind-map or draft slides or textual description – will help us understand the focus of the talk, and the clarity of your thought process.
  3. Ability to communicate succinctly, and how you engage with the audience. You must submit link to a two-minute preview video explaining what your talk is about, and what is the key takeaway for the audience.

No one submits the perfect proposal in the first instance. We therefore encourage you to:

  1. Submit your proposal early so that we have more time to iterate if the proposal has potential.
  2. Write to fifthelephant.editorial@hasgeek.com if you have questions about how to submit a talk.

Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.

We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.

How to submit a proposal (and increase your chances of getting selected):

The following pointers will help you in submitting a proposal:

  1. Focus on why, not how. Explain to participants why you made a business or engineering decision, or why you chose a particular approach to solving your problem.
  2. The journey is more important than the solution you may want to explain. We are interested in the journey, not the outcome alone. Share as much detail as possible about how you solved the problem. Glossing over details does not help participants grasp real insights.
  3. We do not accept how-to talks unless they demonstrate latest technology. If you are demonstrating new tech, show enough to motivate participants to explore the technology later.
  4. Similarly, we don’t accept talks on topics that have already been covered in the previous editions. If you are unsure about whether your proposal falls in this category, drop an email to: fifthelephant.editorial@hasgeek.com
  5. Content that can be read off the internet does not interest us. Our participants are keen to listen to use cases and experience stories that will help them in their practice.

To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.

Passes and honorarium for speakers:

We pay an honorarium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference. We do not provide free passes for speakers’ colleagues and spouses. Please do not ask us for this.

Travel grants for outstation speakers:

Travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. The Fifth Elephant is funded through ticket purchases and sponsorships; travel grant budgets vary.

Last date for submitting proposals is 15 October 2018:

You must submit the following details along with your proposal, or within 10 days of submission:

  1. Draft slides, mind map or a textual description detailing the structure and content of your talk.
  2. Link to a self-recorded, two-minute preview video, where you explain what your talk is about, and the key takeaways for participants. This preview video helps conference editors understand the lucidity of your thoughts and how invested you are in presenting insights beyond the solution you have built, or your use case. Please note that the preview video should be submitted irrespective of whether you have spoken at past editions of The Fifth Elephant.
  3. If you submit a workshop proposal, you must specify the target audience for your workshop; duration; number of participants you can accommodate; pre-requisites for the workshop; link to GitHub repositories and a document showing the full workshop plan.

Contact details:

For more information about the conference, sponsorships, or any other information contact support@hasgeek.com or call 7676332020.

Make a submission

Submissions are closed for this project

Submissions

kb

kaushik bhatt

Data governance: lessons on data usage and data controls from finance domain

Effective and responsible usage of enterprise data is of paramount importance for banking and financial institutions as inadvert misuse could lead to regulatory fines and loss of customer trust. Data Governance takes prime importance between data usage and data controls more
  • 0 comments
  • Confirmed & scheduled
  • Mon, 30 Jul
Section: Full talk Technical level: Intermediate
GA

Gunjan Arya

Fantastic audiences, and where to find them

Experiences are the only media that matters for marketing today. And how we’re using data to run point, on every brief. more
  • 0 comments
  • Submitted
  • Thu, 16 Aug
Section: Crisp talk Technical level: Beginner
RS

Raj Vardhan Singh

Tackling fraud in Fin-tech space

Fraud as we know it has existed in some or the other form since the concept of monetary transactions came into existence. As part of this session, we would discuss about classifying frauds into different categories and mechanisms to tackle them using behavioral science, honeypots & various other methods in a man-machine ecosystem. more
  • 1 comments
  • Awaiting details
  • Wed, 29 Aug
Section: Full talk Technical level: Intermediate
AV

Anusha Venkat

How does alternate data & data insights drive business. New trends in enterprise data services

How does alternate data & the insights drive Business for PayPal, JIO , eBay, etc. What are the new trends that provide data insights that drives business towards success. Key performance indicators and the actions surrounding them. more
  • 1 comments
  • Awaiting details
  • Thu, 30 Aug
Section: Full talk Technical level: Intermediate

Venkata Pingali

Reducing Cost of Production AI: Feature Engineering Case Study

The number and complexity of datasets, usecases, and models are rapidly growing. However, the number of ML/AI applications in production are growing much more slowly. AI in production is suffering from a multiple challenges that vary by domain. We focus on a common activity - machine learning feature engineering involving textual data. It accounts for 40-80% of time and contributes significantly … more
  • 0 comments
  • Confirmed & scheduled
  • Mon, 01 Oct
Section: Crisp talk Technical level: Intermediate
GP

Govind Pandey

Detecting anomalies within Flipkart's Fulfillment Network

Running a fulfillment network is a challenge in itself. Doing so in India only adds to it. So far, Flipkart has been relying on business dashboards for monitoring the fulfillment network. We have been steadily moving towards an anomaly based mechanism to automatically detect deviations from data and trigger actions. more
  • 0 comments
  • Confirmed & scheduled
  • Fri, 05 Oct
Section: Full talk Technical level: Intermediate
DC

Divya Choudhary

From an archived data field to GOJEK’s world class product feature for customer-experience

This talk will focus on details of how machine learning & natural language processing was used on customer notes data along with bookings data by our team at GOJEK to come up with a product feature enabling customers to see all pickup gates near him/her with their appropriate names that they can understand & choose from while booking a car or ride service. more
  • 0 comments
  • Submitted
  • Fri, 05 Oct
Section: Full talk Technical level: Intermediate
au

ajay unagar

Let's Solve Next Best Action in Marketing with Deep Learning and Genetic Algorithms

Customer centricity is a core business priority across industries today. The innumerable channels to reach the customer and associated data sources do complicate the problem, but also present a great opportunity to leverage Artificial Intelligence (AI) to drive significant business impact. The discussion will focus on how to drive a new customer marketing paradigm called Next Best Action. Deep le… more
  • 0 comments
  • Awaiting details
  • Tue, 16 Oct
Section: Crisp talk Technical level: Intermediate
SS

Siddhant Srivastava

One platform to rule it all - ML at scale

ML plays a key role at Swiggy from restaurant recommendations to DE assignments. Vidura, ML platform is a group of services that aims to democratize data science experiments through rapid iteration and applying the best engineering practices to the Data science process. more
  • 0 comments
  • Under evaluation
  • Tue, 16 Oct
Section: Full talk Technical level: Intermediate
KP

Kumar Puspesh

Data Pipeline on Day 1 of your Startup : Cost and Scale sensitive!

We are a gaming company making mass market social games. Since being in a consumer market where user experience is the the key, we had to rely heavily on data from Day 1 of game/product launches. This is the reason we actually built our data infrastructure in parallel to games/products and had it ready for production usage from begining itself. We relied heavily on ready-to-use systems but at the… more
  • 0 comments
  • Confirmed & scheduled
  • Fri, 02 Nov
Section: Crisp talk Technical level: Beginner
AS

Anubhav Srivastava

AI and the future of video streaming business

Description - We are already walking the path where digital video is fast overtaking the conventional televised broadcast content consumption. The next big wave in video streaming is influx of artificial intelligence, be it content creation, content formats, content personalization, video analytics, interactive videos and even business monetization models. This talk will talk about how we’ve star… more
  • 0 comments
  • Awaiting details
  • Wed, 14 Nov
Section: Full talk Technical level: Intermediate
PS

Piyush Srivastava

Role of Data in Solving Capacity and Efficiency Problems in Real-time Logistics

In the world of real-time Logistics, every minute counts. It shows up not just as customer experience (SLA-Compliance & NPS), but also as the overall ability to accept N orders (Capacity) and deliver them in optimal time using minimum resources (efficiency). Such systems need to react fast to on-ground changes such as traffic, weather, availability of delivery-executives and their proximity to de… more
  • 1 comments
  • Confirmed & scheduled
  • Mon, 10 Dec
Technical level: Intermediate
JS

Jayesh Sidhwani

Patterns for building a scalable Data Platform

Data-driven applications bring immense value to the business. While teams want to build data-driven products, the intricacies of building reliable and scalable ingestion, storage, and computation data platform are challenging. more
  • 0 comments
  • Confirmed & scheduled
  • Mon, 14 Jan
Technical level: Intermediate
VK

Vaibhav Khandelwal

Product development for fleet management

India’s last mile delivery network is on a rapid rise in the last decade. With the boom in e-commerce being replicated across verticals of food, grocery and pharmacy, last-mile logistics has become a massive scale phenomena. Fast deliveries and high NPS are the keywords that everyone focusses on. In this talk, we will focus on what goes under the hood to enable a pleasant experience to the end cu… more
  • 0 comments
  • Submitted
  • Mon, 14 Jan
Technical level: Intermediate
TN

Thuong Nguyen

Advancing Data Science for Financial Inclusion: Trusting Social's Journey

Traditional approach to Credit Scoring requires financial histories of customers. As a result, it keeps unbanked customers, especially in developing economies, out of the loop. To solve this problem, Trusting Social utilizes alternative sources of data to assess creditworthiness of the whole population to deliver financial access for all. In this talk, we will discuss about the motivation for alt… more
  • 0 comments
  • Confirmed & scheduled
  • Tue, 15 Jan
Technical level: Intermediate
Make a submission

Submissions are closed for this project

ISDI ACE, Mumbai

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The Fifth Elephant - known as one the best #datascience and #machinelearning conference in Asia - is transitioning into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices.more