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:
- Model management, including data cleaning, instrumentation and productionizing data science.
- Bad data and case studies of failure in building data products.
- Identifying and handling fraud + data security at scale
- Applications of data science in agriculture, media and marketing, supply chain, geo-location, SaaS and e-commerce.
- Feature engineering and ML platforms.
- What it takes to create data-driven cultures in organizations of different scales.
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?
- Network with peers and practitioners from the data ecosystem
- Share approaches to solving expensive problems such as cleanliness of training data, model management and versioning data
- Demo your ideas in the demo session
- 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
For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email firstname.lastname@example.org
JSFoo:VueDay 2019 sponsors:
Optimisation using Julia
Session type: Lecture Session type: Short talk of 20 mins
While planning their marketing campaigns, our clients had to understand how their marketing spend affects their KPIs. We created models to understand the effect of individual marketing channels such as TV, Radio, Digital etc on KPIs like sales, qualified reach or profits. We had to help them to build optimised brand plans and campaign plans that use the allocated budget effectively.
Knowing how the marketing spend affects the KPIs enables us to optimise the marketing spend for maximal result. We also had to suggest the optimal plan to achieve desired business outcomes within user defined constraints, e.g. user defined % range of permitted spend changes.
We used Adbudg S-curves to optimise the marketing spends as they have several useful characteristics for optimisation and it is easier to find the point where the ROI is maximised. Using the response curves for each of the individual channels (TV, Radio, Digital), we could find the optimal spend for each individual channel with an easy to solve optimisation problem. The result is an optimal marketing mix that maximizes the chosen KPIs.
In this talk we will delve into how to find the optimal marketing mix using S-curves and Julia.
- Introduction to the Marketing domain and the optimisation problem
- Model and data considerations
- How we went about choosing Julia
- Walkthrough of the solution
- Challenges faced
Basic understanding of Data Sciences
Ginette is working as Senior Developer at ThoughtWorks for 9 years. She has worked on solving problems across multiple domains like retail, marketing and publishing.