episode 57

Honeywell: Delivering on the Power of Outlier Detection

Data Science Leaders | 16:10 | October 12, 2023

Get new episodes 
in your inbox

Return to podcast home

Every organization has an abundance of outlier detection use cases, but how do you turn them into repeatable, scalable AI products that drive a virtuous cycle of adoption and impact?

To answer this question, Jan Zirnstein, Senior Data Science Director at Honeywell,. shares their best practices for successfully driving value using anomaly detection, how to build trust with stakeholders, and the importance of both product management and software development resources.

Join us as we discuss:

  • How to spark a virtuous cycle with anomaly detection use cases
  • Driving continuous improvement by transitioning from unsupervised to supervised machine learning
  • Aligning the model development and software development lifecycles

Popular episodes

Featured Guest

Mike Gualtieri, VP and Principal Analyst at Forrester

EPISODE 72May 03, 2024

Surviving and thriving as an AI leader in a Gen AI world

Listen Now | 43:41

James Cham

Partner, Bloomberg Beta

EPISODE 71April 11, 2024

Unlocking the disruptive potential of generative AI: a VC perspective

Listen Now | 28:49

Volodimir Olexiouk

Director of Scientific Engagement and Data Science Team Lead, BioLizard

EPISODE 70March 28, 2024

Overcoming the data challenges of AI-driven drug discovery

Listen Now | 36:49

See why Fortune 100 data science leaders choose Domino