Transforming Data With Intelligence
The St. Louis Chapter of TDWI meets Quarterly to provide opportunities for the St. Louis region to collaborate with thought leaders and data professionals on the most innovative and transformational topics that are challenging local professionals.
When:
June 2, 2023
8:00 AM- 11:00 AM
Where:
Microsoft Technology Center
4220 Duncan Ave
5th Floor Gateway Arch I & II rooms
St. Louis, MO 63110
days
hours minutes seconds
until
ID: 240 046 316 198
Passcode: qnmQat
Presentations
Topic 1:
Maximizing the Benefits of Data De-Identification: Strategies for Sustainable Implementation
Speaker: Andrew Dickinson, PhD
Join us as we explore the value of data de-identification for organizations and individuals, and the critical factors for ensuring its continued success. We will delve into the common drivers behind de-identification initiatives, and examine two key approaches used in HIPAA compliance: Safe Harbor and Expert Determination. Having de-identified 1,000’s of datasets and led the development of guidance and standards, we will present Expert Determination as an innovative, statistically-informed solution with global applicability (e.g., EU and the GDPR). Through illustrative case studies, we will highlight considerations and best practices that can impact the effectiveness of de-identification efforts. By providing practical insights, our talk will empower organizations to create a sustainable and impactful data de-identification strategy.
Topic 2:
Prosaic Headaches Around the AI Chatbot Megatrend and How They May Evolve
Speaker: Alexander Mueller
The world of large language model chatbots like Open AI’s ChatGPT or Google’s Bard is evolving very fast and many people are making haste to integrate these tools into their daily work. Regrettably, though, many of us work in industries where intellectual property, data privacy, or other compliance concerns prevent us from responsibly going totally wild using these tools in any manner we choose. Companies are presently figuring out how to react, and I will explore a recent well-publicized decision by Samsung to (temporarily…) ban the use of these tools by employees at work. I’ll do my best to concretely explore known short-term headaches and probable emerging best practices before speculating on how issues at the intersection of competitive pressures in AI vs. realities of machine learning may make certain of these headaches perennial for a long time.
Click here to learn more about our speakers!
Agenda
Coffee and refreshments will be provided.
8:00 AM
Networking and Registration
8:20 AM
Introductions and Chapter Business
8:35 AM
Presentation
Andrew Dickinson, PhD:
Maximizing the Benefits of Data De-Identification
10:00 AM
Break
10:20 AM
Presentation
Alexander Mueller:
Prosaic Headaches Around the AI Chatbot Megatrend and How They May Evolve
11:50 AM
Wrap up and Give-Aways
Our Sponsors
Featuring our newest sponsor: Alation
Alation is the leader in enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 350 enterprises drive data culture, improve decision making, and realize business outcomes with Alation, including AbbVie, American Family Insurance, Cisco, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, New Balance, Parexel, Pfizer, US Foods, and Vistaprint. Headquartered in Silicon Valley, Alation was named to Inc. Magazine’s Best Workplaces list and is backed by leading venture capitalists, including Blackstone, Costanoa, Data Collective, Dell Technologies, Icon, ISAI Cap, Riverwood, Salesforce, Sanabil, Sapphire, and Snowflake Ventures. For more information, visit alation.com.
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