Bruno Wassermann
Research Staff Member, IBM Research

Bruno Wassermann is a research staff member at IBM Research – Haifa, where he’s worked on parts of the distributed systems infrastructure of Watson Developer Cloud, is trying to help SREs make better sense of monitoring and log data, and, more recently, has begun working on some of the issues that arise from the productionization of machine learning applications.

Sessions

16:50–17:30 Wednesday, 16 October 2019

Location: King's Suite - Sandringham

Clue: Evaluate the impact of your new training pipeline on existing models in production

Implementing AI

Secondary topics: Machine Learning, Machine Learning tools

Bruno Wassermann (IBM Research)

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Imagine there's a new version of your complex machine learning pipeline, but you need to make sure it doesn't negatively impact the performance of large numbers of existing customer models in production. Bruno Wassermann explains how IBM Research tackled the challenge for the natural language understanding layer of the IBM Watson Assistant service and demonstrates a new tool called Clue. Read more.