Exploring Synthetic Data in Predictive Analytics
Join us for a unique two-hour peer learning session with the Predictive Analytics Special Interest Group, focusing on the innovative use of synthetic data in predictive analytics, including its vital role in testing and model validation. This interactive event provides a platform for professionals to exchange insights, discuss ethical considerations, and delve into real-world applications, thereby deepening their understanding through shared experiences and expert moderation.
- 12:00 PM
Event Assets
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Description
Join us for a dynamic two-hour session in the Predictive Analytics Special Interest Group, where we delve into the burgeoning field of synthetic data and its application in predictive analytics. This session is uniquely designed to foster peer learning and collaborative exploration, focusing on the core aspects of synthetic data and its practical implications in predictive analytics.
Key Takeaways:
Comprehensive Understanding of Synthetic Data: Gain a holistic perspective on synthetic data, encompassing its creation, types, and distinctions from traditional datasets. This understanding is enriched by the diverse experiences and insights shared by peers, offering a multifaceted view of synthetic data’s role in predictive analytics.
Navigating Ethical and Privacy Challenges: Discover the collective wisdom on balancing the utility of synthetic data with ethical and privacy considerations. Engage in meaningful discussions that reveal how professionals across industries approach these challenges, providing valuable lessons and strategies.
Practical Insights from Real-world Applications: Learn from a variety of case studies and real-life experiences presented by your peers. This segment provides a rich tapestry of challenges, successes, and practical solutions in applying synthetic data across different sectors, offering actionable insights for your own work.
This session is an excellent opportunity for data scientists, analysts, and industry professionals to engage in a meaningful exchange of knowledge and experiences related to synthetic data in predictive analytics. It's designed to provide a platform for learning from peers and gaining insights that are immediately applicable in your professional context.
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Agenda Items
| 10:00 AM | Welcome & Opening Remarks |
| Heidi Rozmiarek, UWEBC IT Practice Director |
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| 10:15 AM | Synthetic Data Overview & Use Cases |
| Tobias Hann, CEO at Mostly AI |
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| 11:00 AM | Managing AI Risk w/ Synthetic Data |
| Karan Dhawal, Data & Transformation Leader at ZS |
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| 11:50 AM | Wrap Up & Closing Remarks |
| Heidi Rozmiarek, UWEBC IT Practice Director |
|
| 12:00 PM | Adjourn |
Additional Information
Location: ZoomContact: Events Team, events@uwebc.wisc.edu