- 2024 keynote session delivered by Sol Rashidi and held in Columbus Regency ballroom. -

One particular session of interest focused on how Natural Language Processing (NLP) can be used to analyze survey comments using machine learning. This could improve how GRC analyzes internal surveys and project-related feedback.

Another session highlighted how the City of Cleveland improved its data management and collaboration across different departments. They implemented a new data platform that integrates multiple internal systems and supports data sharing. This could serve as a model for similar efforts at GRC.

Cybersecurity risks related to AI tools were also discussed. One point that stood out was the need for two-factor authentication for large purchase requests to prevent fraud, especially given the rise of deep-fake technology.

A lightning talk emphasized the importance of using simple text and clear visuals when presenting data to non-technical audiences. This approach was successfully used during daily government meetings in Israel at the start of the pandemic and could be beneficial for GRC when communicating complex data.

Bianca also learned about new methods for analyzing data, such as using Bayesian Improved Surname Geocoding (BISG) to assign race and ethnicity proxies, and how Generative Adversarial Networks (GANs) can create synthetic data when patient data is limited.

Overall, Bianca found the conference enlightening and recommends it to anyone interested in advanced data strategies.

Interested in boosting your skills with free training opportunities through TechCred? Find out how this program could benefit you and GRC.

- A small group session on Bridging the Gap Between Your Data & the Real World. -