Superiority and Sanctity of Input Data, for Reliable ML Outcomes in Industrial Settings

Date:

Tuesday, June 3, 2025

Time:

3:55 pm

Summary:

Concepts are sacred, Tools will change, but Data still remains the emperor. Collecting professional, industrial experiences across engineering domains from over 36 years, this talk emphasizes the importance of data quality, adequacy and relevance in finding robust ML outcomes. This talk covers stellar data examples across broad industries such as nuclear, aerospace and power – where the speaker had hands-on experience in developing critical ML models – emphasizing the need for addressing data quality upfront. While highlighting what could go wrong in making crucial go-no-go decisions, the talk in thought-provoking pedagogic style, offers examples to get reliable data, right from the sensors, up to feeding the model.

Calling all Data Geeks! How to Establish a Community of Practice!

Date:

Tuesday, June 3, 2025

Time:

4:20 pm

Summary:

With the explosion of interest in AI, “Citizen Data Scientists” have emerged all across our organizations. The first reaction may be to try to squash their activities to control the risk of inaccurate data storytelling and misinformation. But a more effective strategy is to embrace these fellow data geeks, and enable them with tools and best practices to further accelerate the data and AI journey. Hear how Paychex has launched and matured the Data and AI Community of Practice, leveraging proven techniques to engage the community and drive organizational value.

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