Carolyn Saplicki

Published in

·Jun 16

Shift the Focus: From Asset to Model Management

By Carolyn Saplicki, Senior Data Scientist, and Erika Agostinelli, Senior Data Scientist As industries begin to utilize AI in Sustainability practices, the focus, thus far, has been on Asset Performance Management (APM). In this process, statistical or machine learning (ML) models have been created to aid with predictive maintenance. This…

Sustainability

7 min read

Shift the Focus: From Asset to Model Management

Sustainability

7 min read

Published in

IBM Data Science in Practice

·May 26

AI Fairness in Industry

By Erika Agostinelli (IBM Senior Data Scientist), Stefan van der Stockt (IBM Lead Data Scientist, Master Inventor) and Carolyn Saplicki (IBM Senior Data Scientist) Various industries are utilizing AI in Sustainability practices more to create models that aid with critical asset performance management (APM) initiatives. These models are applied to…

Sustainability

8 min read

Sustainability

8 min read

Published in

IBM Data Science in Practice

·Mar 21

Deploying and Monitoring Deep Learning Models on Cloud Pak for Data

By Courtney Branson, Advisory Data Scientist, and Carolyn Saplicki, Senior Data Scientist Today, many businesses create AI models to aid in prediction. However, not all businesses have the tools or understanding of Machine Learning Operations (MLOps) to productionize an AI model. In fact, VentureBeat found that 87% of data science…

Wml

7 min read

Deploying and Monitoring Deep Learning Models on Cloud Pak for Data

Wml

7 min read

Published in

IBM Data Science in Practice

·Mar 13

Fairness in Machine Learning: Pre-Processing Algorithms

Co-authored by Carolyn Saplicki, Senior Data Scientist with Expert Labs, and Mitali Bante, Data Scientist with Expert Labs. In our previous blog, Fairness Explained: Definitions and Metrics, we discuss fairness definitions and fairness metrics through a real-world example. This sets the stage for how bias can be identified in machine…

Fairness

5 min read

Fairness

5 min read

Published in

IBM Data Science in Practice

·Jan 26

Custom Images and Monitoring for R Models with Watson Machine Learning & Watson OpenScale

Co-authored by Carolyn Saplicki, Senior Data Scientist, and Courtney Branson, Advisory Data Scientist Many businesses today use the R programming language to build their machine learning models. Currently, R model deployments are not natively supported by WML. To use the R model on WML, you have to wrap your R…

5 min read

Custom Images and Monitoring for R Models with Watson Machine Learning & Watson OpenScale

5 min read

Published in

IBM Data Science in Practice

·Nov 11, 2022

Fairness Explained: Definitions and Metrics

Co-authored by Carolyn Saplicki, Senior Data Scientist with Expert Labs Trustworthy AI Practice, and Mitali Bante, Senior Data Scientist with Expert Labs Trustworthy AI Practice. As more companies turn to Artificial Intelligence (AI) models to generate data driven results, guardrails must be utilized to ensure trustworthiness across the model lifecycle…

Fairness

11 min read

Fairness

11 min read