Fail Fast, Succeed Smarter – Philipp Danninger

Fail Fast, Succeed Smarter: An Agile Process for Effective AI Implementation

Description

Every company is at a different stage in the introduction of data science or AI. Not every use case fits every company, and finding the “right one” is often a challenge. Limited resources and a lack of expertise are common obstacles. This presentation will explore this challenge using an agil process to identify, develop and successfully implement impactful data science and AI projects.

Philipp Danninger

After working as an economic researcher at the Vienna University of Economics and Business and as a market analyst in the manufacturing industry, Philipp became a data scientist, focusing on the technical development of data science and AI solutions. He particularly focuses on the development of end-to-end solutions, from data collection and modeling to the use of machine learning systems to ensure they deliver actionable insights.

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