World Congress 2021 • Jul 30, 2021

Data Science on Software Data

Struggling to convince management to fix technical debt? Discover how to use Python and Jupyter to turn version control history into data-driven arguments for structural investments.

Starting at 36:21 · Watch from the beginning

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56 sec

Introduction to analytical data formats for software developers

Matthias Niehoff

Matthias Niehoff · World Congress 2026 Europe

3:40 min

Identifying core challenges in modern software development

Markus Eisele

Markus Eisele · World Congress 2024

1:52 min

Transitioning from data science to software development

Rudi Bauer

Rudi Bauer +1 · Cappuccino with HR

3:27 min

Transitioning away from dominant management with objective analytics

Laura Möller

Laura Möller +3 · World Congress 2024

5:19 min

Unifying core software principles for better team performance

Richard Bown · World Congress 2023

5:39 min

Managing legacy infrastructure and distributed software systems

Daniel Geisel

Daniel Geisel +1 · World Congress 2026 Europe

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Data Quality Is the Hidden System That Keeps Modern Data Platforms Alive

Rakshika Prasad

Schneider Electric

Data Engineer

A Tale of Two Systems: Design and Reality

Mandeep Singh

Kyndryl

Lead Software Engineer

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AI at the Door, Turning ‘Tech Debt Panic’ into ‘Tech Debt Repairs’

Prerit Munjal

Groupon

Senior Technical Product Manager

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

Aditya Dua

GitHub

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Amith Singhee

IBM

Director, IBM Research India and AI for Z, SIL; CTO, IBM India / South Asia

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