tuesday-10:50 Session List

Talk general-production

5 Things You Want to Know About AI Adoption in the Enterprise

Alexander CS Hendorf

Architecture, Best Practice, Business & Start-Ups, Corporate, Diversity & Inclusion

All one needs is strategy, skill and resources to make digitalization and AI happen. So why is everything taking so long? 5 Things You Want to Know About AI Adoption in the Enterprise.

Talk pydata-machine-learning-stats

Predictive Maintenance and Anomaly Detection for Wind Energy

Tobias Hoinka

Predictive Modelling, Statistics, Time Series

This talk will describe predictive modeling applications in wind turbine maintenance, the challenges of anomaly detection and ways to move to more automatic diagnoses by modeling past documented defects.

Talk general-python-pydata-friends

Unclear Code Hurts

Dario Cannone

Best Practice, Coding / Code-Review

Code may work or not, but it will always tell a story. Computers will not complain about how you write it (except correct syntax), but human readers will. This talk is about writing clear code and caring for the human beings that will read it. Yourself included.

Using a database in a data science project - Lessons learned in production

Jacopo Farina

Data Engineering, Databases

Lessons learned in 4 years using Postgres in a machine learning project

Talk pydata-visualization

Your data, your insights: creating personal data projects to (re-)own the data you share

Paula Gonzalez Avalos

Data Visualization, Predictive Modelling

Your data, your insights: 3 examples to illustrate how we can apply common data science libraries together with data shared via mobile apps or collected manually to build little data visualization projects that provide unique, contextual and intmiate insights.