Скачать или смотреть Data & AI Governance: building the guardrails for a responsible adoption

In this episode of Tech4Leaders, we explore the fast-growing world of Data & AI Governance and why it’s now a boardroom priority. With enterprises rushing to adopt Generative AI, Machine Learning, and cloud AI services like AWS Bedrock, Microsoft Azure AI, and Google Vertex, the challenge is no longer adoption — it’s governance.

We break down ISO/IEC 42001, the first global standard for responsible AI, and explain how leaders can combine data governance frameworks, MLOps platforms (Databricks, MLflow, Kubeflow), and observability tools like Splunk to create the right guardrails. From cloud vs. on-premise AI strategies to managing risks like bias, drift, and compliance with the EU AI Act and GDPR, this masterclass offers a clear roadmap for CIOs, CTOs, and business leaders who want to innovate responsibly while building trust and resilience.

Tune in and learn how governance is not a barrier to AI — it’s the key to scaling it securely and turning it into a true competitive advantage.