December 13, 2023
Avoiding AI Pitfalls With AI Governance
Avoiding AI Pitfalls With AI Governance
Avoiding AI Pitfalls with AI Governance
Right now, everyone seems to be jumping into AI and generative AI with both feet. But using AI incorrectly can hurt your company’s reputation and sink customer trust.
The needed guardrail? AI governance.
In this webinar we discuss safeguarding your company from AI pitfalls through governance, and specifically IBM’s watsonx.governance.
What You’ll Gain:
- What’s currently happening, and what’s next
- IBM’s watsonx.governance Introduction
- Addressing AI responsibility and bias
- In-depth AI quality, drift, and transparency analysis
- Starting your AI governance journey
Our Speakers
Gregory Hodgkinson
Greg Hodgkinson is Prolifics’ Chief Technology Officer and Worldwide Head of Engineering, and an IBM Lifetime Champion. As a technology leader, he’s responsible for innovative cross-practice solutions for our customers, creating a foundation for innovation in the company, and driving improvements in the art of software development and delivery throughout Prolifics.
Madison Gooch
Madison Gooch currently serves IBM clients and partners as the Vice President of watsonx, IBM’s generative AI platform, across the Americas. She focuses on how generative AI will transform business through digital labor, productivity enhancements and revenue generation across use cases for customer care, conversational AI, employee experience transformation and application modernization.
Watsonx webinar
Webinar Highlights:
- AI Governance for Business Leaders: Gain a comprehensive understanding of AI governance and its critical role in preventing negative outcomes.
- Introduction to IBM’s watsonx.governance: Learn about this innovative tool that simplifies AI lifecycle management, mitigates risks, and aids in compliance with regulations.
- Ethical AI Usage: Strategies to ensure your AI systems uphold fairness, accountability, auditability, and legal compliance.
- Addressing AI Responsibility and Bias: Insights into ethical AI development, with a focus on eliminating biases and upholding quality standards.
- In-depth Analysis of AI Quality, Drift, and Transparency: Discover methods to ensure AI system effectiveness, manage performance drift, and maintain decision-making transparency.
- Starting Your AI Governance Journey: Practical guidance on initiating and navigating the path to effective AI governance.