Cracking the Efficiency Code: How Data-Driven Automation at Lexoffice is Transforming the Bookkeeping Landscape

Date:

Thursday, November 16, 2023

Time:

2:35 pm

Room:

Saphir 1

Summary:

lexoffice allows small-medium businesses to step into a new era: cloud bookkeeping with an average booking automation rate of up to 70 %. In this talk, we will share key (data) ingredients for saving millions of hours for more than 250k customers and for scaling our daily work: experimentation setup, utilized metrics, insights to applied (ML) models, their validation and lifecycle in production. In addition, we will share the organizational evolution along this data product journey.

Building a Privacy-Preserving Machine-Learning Product for Salary Predictions based on Payslip Data at DATEV

Date:

Thursday, November 16, 2023

Time:

3:05 pm

Summary:

DATEV eG is processing monthly 15 mio. payslips of German employees. We present a privacy-preserving way to learn a machine-learning model on this sensitive data and a product to assess if the salary of current/prospective employees is in line with the market. Besides data engineering and machine learning, this talk focusses on anonymisation, namely differential privacy in combination with privacy amplification and highlights the learnings as an organisation to build data-driven products.

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