Level: Beginner to Intermediate
Prerequisite: None
Evan Levy, CBIP
Partner
Integral Data, LLC and TDWI Fellow
Evan Levy, CBIP, is a management consultant in enterprise data strategy, data management, analytics, and systems integration. Business is experiencing exponential growth in data volumes, sources, and systems. Evan advises clients on strategies to address business challenges using their existing data and technology assets coupled with new and creative methods and practices. With more than 25 years of experience consulting with clients, Evan leads classes and workshops offering practical, real-world experience to address challenges in a manner that utilizes existing skills coupled with new methods to ensure IT and business success.
This is part of an optional week-long series.
Take all the courses to earn a certificate, or attend this individual course.
The extraordinary capabilities of large language models, machine learning, and other AI technologies have transformed how we process information, generate insights, and make decisions. While these tools offer remarkable efficiency and innovation, they come with inherent challenges: vulnerability to data inaccuracy, potential for bias, and outcomes that—though mathematically sound—may fail ethical or practical standards.
The critical question isn't whether to employ AI, but how to implement it responsibly.
Problems only occur when there’s a lack of review, transparency, measurement, and auditability. In this course, Evan Levy will cover the fundamentals of AI governance including AI risk levels, the core components, real-world use cases, and how organizations have addressed and reduced their risks associated with artificial intelligence.
You Will Learn
- What is AI governance and why it is necessary
- The existing and perceived risks associated with AI
- Core components of effective AI governance structures
- Real-world case studies of governance challenges and solutions
- Actionable strategies organizations have deployed to mitigate AI risks while maximizing benefits
Geared To
- AI and ML developers
- AI and ML professionals
- Business analysts and managers
- Program leaders
- Non-technical data users