The Fifth Elephant

The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

##Theme and format
The Fifth Elephant 2017 is a four-track conference on:

  1. Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
  2. Application of Machine Learning (ML) in diverse domains such as IOT, payments, e-commerce, education, ecology, government, agriculture, computational biology, social network analysis and emerging markets.
  3. Hands-on tutorials on data mining tools, and ML platforms and techniques.
  4. Off-the-record (OTR) sessions on privacy issues concerning data; building data pipelines; failure stories in ML; interesting problems to solve with data science; and other relevant topics.

The Fifth Elephant is a conference for practitioners, by practitioners.

Talk submissions are now closed.

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-record, 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 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 documents showing the full workshop plan.

##About the conference
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.

We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:

  • Full-length, 40-minute talks.
  • Crisp, 15-minute talks.
  • Sponsored sessions, of 15 minutes and 40 minutes duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on tutorials and workshop sessions of 3-hour and 6-hour duration where participants follow instructors on their laptops.
  • Off-the-record (OTR) sessions of 60-90 minutes duration.

##Selection Process

  1. Proposals will be filtered and shortlisted by an Editorial Panel.
  2. Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
  3. Proposers are also encouraged to vote and comment on other proposals submitted here.

Selection Process Flowchart

We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.

Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.

There is only one speaker per session. Entry is free for selected speakers.

##Travel grants
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.

##Commitment to Open Source
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.

##Important Dates:

  • Deadline for submitting proposals: June 10
  • First draft of the coference schedule: June 20
  • Tutorial and workshop announcements: June 20
  • Final conference schedule: July 5
  • Conference dates: 27-28 July

##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.

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Hosted by

The Fifth Elephant
The Fifth Elephant
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
All submissions

Dr Amit Garg

@garg78

Application of AI in e-commerce industry from product search to customer satisfaction

Submitted Apr 22, 2017

Section: Crisp talk for data engineering track Technical level: Intermediate

Artificial Intelligence(AI) was introduced to develop and create “thinking machine” that are capable of mimicking, learning and replacing human intelligence. Since last 20 years, AI has shown great promise in improving human decision making processes and the subsequent productivity.

In the fifth elephant conference, I will talk about the application of AI in the E-commerce industry including supply chain management, inventory management, Transportation management and customer service.

AI helps from the time customer starts product search, product recommendation, deciding the right product, an order is placed, payment is made, order fulfilment, delivery of product, return policy and safety and security. Also, focus would be on how AI has improved customer experience with retailers and how retailers can get a competitive advantage. AI can help even warehouse management in a way to not only minimize total cost but also boost employee experience.

I will also cover how AI techniques are used in web services. A web service is a software system designed to support interoperable machine-to-machine interaction over the network.

Audience: My speech would cater to the interest of the people working in the e-commerce, Information technology, data science, supply chain management as well the general audience.

Outline #

Basics of Artificial intelligence.
Applications of AI in E-commerce industry including supply chain management, inventory management and customer service management.
Applications of AI such as product recommendation, product search, image recognition & understanding, auto-anomaly detection
Customer support services like chat bots and speech recognition.
AI applications in determining optimum price, product categorisation, churn prediction and sentiment analysis
AI techniques in web services.

Speaker bio #

Dr. Amit Garg is the Founder and Chief Scientist at ORMAE, India. He provides cutting edge approaches in Operations Research, Analytics & Machine learning to different companies. He currently holds a Guinness world record in Mathematics and represents India in the Global Mental Calculation championships. He has completed B.Tech. in Mechanical Engineering and MS in Industrial Engineering from IIT Delhi, India followed by PhD in Operations Research from Case Western Reserve University, USA. For more than ten years, he has worked on several e-Commerce, Supply Chain Logistics Optimization, Resource Scheduling, Contact Center Optimization, and Workforce Planning projects at Penske Logistics, Amazon, and Interactive Intelligence, USA. He has presented at several OR conferences, client sites, Mathematics Shows, and has also been actively involved in the OR & Analytics training sessions in the US and Indian Companies.

All submissions

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Hosted by

The Fifth Elephant
The Fifth Elephant
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