Join the DAMA-MN community in welcoming guest speaker David Loshin at our September Chapter Meeting!
David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the area of data strategy, information risk, and information innovation. David is a prolific author regarding information management best practices as the author of numerous books and papers, including Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph and The Practitioner’s Guide to Data Quality Improvement. David is a frequent invited speaker at conferences, web seminars, and sponsored websites and channels. David is also an Associate Research Engineer at the University of Maryland.
This Month's Topic: Artificial Intelligence and Machine Learning (AI/ML) technologies are rapidly becoming integrated into the analytics fabric. At the same time, the evolution of large language models (LLMs) and generative AI tools has transitioned from examining these tools as novelties to a growing acknowledgement of their promise of business value. Organizations are rapidly reorganizing their data and application architectures to accommodate the integration of increasingly sophisticated AI/ML techniques and models.
Yet there are risks to increasing an organization’s reliance on automated AI decisioning. In this talk, we will examine some fundamental risks in adopting AI into business applications and consider governance tactics to establish a baseline for trusted AI.
- Key Learning Objectives:
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- Categories of Information Risk
- Defining “Trustworthy” AI
- AI Risk Profile
- Best Practices for Identifying and Managing AI Risks
Hosted virtually via Microsoft Teams
Open to members and guests — all are welcome!
Location: Virtual Meeting | Link provided upon registration
Reserve your spot today!
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