Make a submission

Accepting submissions till 15 Jun 2019, 01:00 PM

NIMHANS Convention Centre, Bengaluru

The eighth edition of The Fifth Elephant will be held in Bangalore on 25 and 26 July. A thousand data scientists, ML engineers, data engineers and analysts will gather at the NIMHANS Convention Centre in Bangalore to discuss:

  1. Model management, including data cleaning, instrumentation and productionizing data science.
  2. Bad data and case studies of failure in building data products.
  3. Identifying and handling fraud + data security at scale
  4. Applications of data science in agriculture, media and marketing, supply chain, geo-location, SaaS and e-commerce.
  5. Feature engineering and ML platforms.
  6. What it takes to create data-driven cultures in organizations of different scales.

Highlights:

1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.

Why you should attend?

  1. Network with peers and practitioners from the data ecosystem
  2. Share approaches to solving expensive problems such as cleanliness of training data, model management and versioning data
  3. Demo your ideas in the demo session
  4. Join Birds of Feather (BOF) sessions to have productive discussions on focussed topics. Or, start your own Birds of Feather (BOF) session.

Full schedule published here: https://hasgeek.com/fifthelephant/2019/schedule

Contact details:

For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email info@hasgeek.com

Sponsors:

Sponsorship Deck.
Email sales@hasgeek.com for bulk ticket purchases, and sponsoring 2019 edition of JSFoo:VueDay.

JSFoo:VueDay 2019 sponsors:

Platinum Sponsor

Anatta

Community Sponsors

Salesforce Ericsson freshworks
databricks

Exhibition Sponsors

Sapient Atlassian GO-JEK
Bayer

Bronze Sponsor

Sumologic Walmart Labs Atlan
Simpl Great Learning

Community Sponsors

Elastic Anaconda Aruba Networks

Hosted by

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

Kranthi Mitra

@akranthi

Challenges and approaches for instrumenting and cleaning 'real'/ ugly data

Submitted Jul 22, 2019

Most practicing data scientists have those “bad data days” where you realize the data is corrupt, or not what you assumed the data to be, or labels are not right or even worse. What if we work in a paradigm assuming: “all data is corrupt, some is useful”, while at the same time instrumenting for any data which can be captured? In such a setting, how to go about various day-to-day data cleaning challenges, prioratizing data collection, building tooling for data quality etc?

Who should attend this BOF?

  1. Anyone who is eager to share stories around collecting richer data or making data cleaner in a systematic way
  2. Data geeks
  3. If you want to learn how to handle data more carefully and with respect

Outline

In this session we will share our experience on multiple things associated with collecting/instrumenting data and converting it to useful/accessible form. Specifically, the focus will be on emerging data in space of agriculture, biology, telemetry, images. Few of the topics which would be discussed are:

  1. Dealing with incomplete data
  2. Data accuracy issues
  3. Tools for data dictionary
  4. Process of data cleaning
  5. QA for right data instrumentation

We will cover the following topics in this session:

  • Data basics like meta data store, data dictionary, documentation of data flow – challenges and tooling.
  • Types of data issues including discovery of known unknowns: incomplete data, improper instrumentation, corrupted pipeline, varying quality, quality of labels – what are the reasons?
  • Categorising sources and types of issues – ways of dealing with each type.
  • Steps/milestones in journey for better data: legacy data, new data
  • How to know what to instrument – various approaches.
  • Suggestions and recommendations to approach the problem.

Requirements

You should have played with data and felt the pain of something being off. :)

Speaker bio

Kranthi Mitra – Principal Data Scientist at Swiggy
Raghotham Sripadraj – Senior Data Scientist at Ericsson
Elvis Joel D’Souza – Director of Product Engineering at Sensara
Karnam Vasudeva Rao – Senior Scientist in the data science team at Bayer

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Make a submission

Accepting submissions till 15 Jun 2019, 01:00 PM

NIMHANS Convention Centre, Bengaluru

Hosted by

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