We have been curating our list of machine learning conferences for several years now. Even in this particular year, the number of events kept growing, but with a little twist: online events seem to be the safest way to gather people and keep the networking and knowledge flowing around the community while maintaining social distancing.
Over time, we have been highlighting those events we believe are especially relevant for our audience. The Data Science Salon series have been part of our list of favorites, and this year will be our second participation as speakers. Last year, Jennifer Esteche, one of our Machine Learning Engineers, hosted a talk about pricing automation at the DSS Seattle.
This year, we will be part of the Retail & E-Commerce event, which will happen virtually November 17-18.
The DSS Virtual Salon | Applying AI & Machine Learning to Retail & ECommerce is the only industry conference that brings together specialists in retail and e-commerce data science fields to share best practices and innovate new solutions. Practitioners, technical experts, and executives gather to share how to solve real-world problems by employing disruptions in data, artificial intelligence and machine learning.
Some of the topics that will be covered include:
|Machine learning best practices||Image Recognition with ML|
|Designing ML pipelines efficiently||Data strategy and governance|
|NLP & Deep Learning||Personalization at Scale with AI|
|Recommendation Engines||Improving Data Quality|
|Deep Neural Networks||Data ethics and bias|
We have a group of machine learning specialists, data scientists and economists focused on pricing projects: strategies, processes, optimization and automation. We have been sharing related content explaining how combining industry knowledge with machine learning techniques can increase sales volumes and improve gross margins. You can even explore a use case of price optimization for e-commerce and to take it further, you can learn how to prepare pricing data for machine learning projects.
This presentation will be focused on how Machine learning is reshaping price optimization and will show outstanding results obtained by leading retailers around the globe. We will share the algorithms, techniques, and data sources applied, which led our client to gain over half a million dollars during a 10-weeks price optimization experiment.
In this talk, you'll be introduced to how machine learning tools allow us to incorporate structured and unstructured data to get accurate demand forecasts. You will hear how machine learning tools can be used to learn the price elasticity of demand for each SKU on each location and time. Most importantly, the tools will allow to estimate and understand the willingness to pay of each customer. With explainable AI tools and randomized control trial experiments we can get new business insights and deliver high impact price recommendations.
Now, meet our star speaker of this event: Maia!
Maia Brenner is a passionate data scientist and economist with strong programming skills, a mathematical and statistical background, and work experience in consulting and the public sector. She combines her econometrics and social sciences knowledge with her python and ML skills here at Tryolabs. Don't miss what she's been sharing on our blog.
Be sure to be part of her talk next Tuesday, November 17, at 3:00-3:30 PM ET.
If you are interested in new ways to optimize your business and learn the state-of-the-art practices in the retail industry, don´t miss the DSS Virtual Salon | Applying AI & Machine Learning to Retail & ECommerce.
When: November 17-18, 2020
Where: Virtual event
🎁 We have 5 FREE tickets to give away to the virtual Salon for Retail & Ecommerce. Use promo code "TryolabsVIP"
👉 Or register here to get 20% Tryolabs-discount on your ticket.
We look forward to seeing you there!