Sponsored Session List

5 Things we've learned building large APIs with FastAPI

Maarten Huijsmans

APIs, Best Practice

5 the common challenges in building FastAPI apps and how to solve them

A Smooth Ride: Online Car Buying and Selling at mobile.de

Ricardo Kawase, Marlene Hense

Best Practice, Career & Freelancing, Use Case

Buying or selling a car is a challenging task that requires a lot of difficult decision-making. We will reveal all the "under the hood" data products at mobile.de that support users in making the right decisions.

How a simple streamlit dashboard will help to put your machine learning model in production

Daniël Willemsen, Welmoet Verbaan

Best Practice, Data Visualization, Predictive Modelling

Have you struggled getting your valuable machine learning model into the hands of users? A simple streamlit monitoring dashboard can help!

My forecast is better than yours! What does that even mean?

Illia Babounikau

Statistics, Time Series

Established forecast evaluation procedures often turn out to be inappropriate and biased for modern time series forecasting. I will present the number of forecast evaluations issues and resolutions based on the real use cases of demand forecasting developed within BlueYonder.

Optimize your network inference time with OpenVINO

Adrian Boguszewski

Jupyter, Neural Networks / Deep Learning, Performance

Learn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime to infer your model with low latency on the CPU and iGPU you already have. The magic with only a few lines of code.

Overcoming 5 Hurdles to Using Jupyter Notebooks for Data Science, by the JetBrains Datalore Team

Alena Guzharina

Data Visualization, Jupyter, Reproducibility

Overcoming 5 Hurdles to Using Jupyter Notebooks for Data Science, by the JetBrains @Datalore Team Join our talk to discuss setting up environments, working with data, writing code without IDE support, and sharing results, as well as collaboration and reproducibility.