Prerequisite: None
Laura Madsen
Co-Founder & Chief Blow-Stuff-Up Officer
Moxy Analytics
In today’s data-driven world, organizations are increasingly relying on advanced analytics and artificial intelligence (AI) to derive actionable insights, optimize operations, and drive innovation. However, as the complexity of data grows, so does the challenge of ensuring responsible, ethical, and effective use of these technologies. The governance of data, analytics, and AI has thus become a critical strategic priority for businesses across industries.
This presentation will explore best practices in modern data, analytics, and AI governance. We will cover key aspects such as data quality management, regulatory compliance, transparency, and ethical AI deployment. Additionally, we will discuss how to establish governance frameworks that foster collaboration across IT, legal, and business teams while aligning with organizational goals.
We will cover:
- AI Governance: Implementing frameworks for the quality, governance, and ethical use of AI, ensuring transparency, interpretability, and accountability in AI models and decisions.
- Collaborative Governance: Building cross-functional teams that can navigate the complexities of data, AI, and analytics governance, ensuring alignment with both business objectives and legal requirements.
- Change Management: The increasing importance of change management models in the deployment of modern analytics and AI.
- Emerging Best Practices: What is working in the fast-paced data space for organizations on the front lines.
By the end of the session, attendees will be equipped with practical frameworks, methodologies, and tools to implement effective governance strategies in their own organizations, mitigating risk while unlocking the full potential of data, analytics, and AI.