The Fifth Elephant round the year submissions for 2019
Submit a talk on data, data science, analytics, business intelligence, data engineering and ML engineering
Make a submission
Accepting submissions till 31 Dec 2020, 11:59 PM
Submit a talk on data, data science, analytics, business intelligence, data engineering and ML engineering
Accepting submissions till 31 Dec 2020, 11:59 PM
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:
##Perks for submitting proposals:
Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.
In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.
##Selection criteria:
The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:
The criteria for selecting proposals, in the order of importance, are:
No one submits the perfect proposal in the first instance. We therefore encourage you to:
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.
##How to submit a proposal (and increase your chances of getting selected):
The following guidelines will help you in submitting a proposal:
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 and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.
##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.
You must submit the following details along with your proposal, or within 10 days of submission:
Hosted by
Aayushi Pathak
As a provider of Competitive Intelligence as a Service to eCommerce businesses and consumer brands, DataWeave aggregates and analyses product catalog data from eCommerce websites each day at massive scale. Once aggregated, this data is fed into a complex process of extraction, transformation, machine learning, and analyses. These operations are performed on a consistent basis to provide our customers with easily consumable and actionable insights.
To be precise, we aggregate over 200 million data points across 2000+ web sources to deliver 200+ reports each day.
The web sources span across multiple verticals ranging from eCommerce, travel, classified listings, mobile apps, and more. Having a generic aggregator to aggregate data from multiple websites across multiple domains is a significant challenge.
Why do we need data aggregators?
A singapore-based VC firm wants to analyze how its portfolio businesses were performing in India and wants to crawl the mobile apps of a few of its businesses, along with that of their competitors.
An investment firm in the US wants to take stock of how a web-based B2C business is growing every quarter, thereby enabling an informed buy/sell decision before an earnings call.
A ‘brand’ wants to analyze their share of voice on eCommerce websites and track pricing violations on online marketplaces.
Smart organizations are looking for ways to capture and store data (both internal and third-party) at scale, process it efficiently, and generate actionable insights consistently. This talk will throw some light on how we aggregate data at massive scale and convert unstructured Web data to consumable insights. We will also talk about several problems we encounter along the way and how we solve them.
Talk flow:
Mithun, Data Architect, DataWeave
I work as an architect in the data platforms team at DataWeave, a provider of Competitive Intelligence as a Service for eCommerce businesses and consumer brands. I design and manage data aggregation at scale, which involves writing crawlers, extracting structured data, and more.
I have 10 years of experience in the software industry, with extensive experience in building web crawlers for complex web environments.
https://drive.google.com/file/d/1n_Dv8ROi0e9imYDIXfPC0fwhxwI21DJq/view?usp=sharing
Accepting submissions till 31 Dec 2020, 11:59 PM
Hosted by
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