SolarWinds and Unimission Join Forces at AI for Good Conference

What you'll learn

• Privacy and Security: Safety first. This principle regulates personal data collection, storage, use, and protection. This includes role-based access control (RBAC), multi-factor authentication (MFA), and privileged access management (PAM) to prevent unauthorized entry. - Accountability and Fairness: AI systems can perpetuate biases present in training data, leading to discriminatory outcomes. The Accountability and Fairness principle ensures a human is in the loop to regulate AI decisions. - Transparency and Trust: Decisions must be accompanied by explanations to build a strong working relationship with AI systems. Transparency fosters deeper confidence in AI-driven processes. - Simplicity and Accessibility: The user experience around AI is pivotal for IT Ops and DevOps teams managing mission-critical applications. A seamless, intuitive experience prevents fatigue and streamlines decision-making.

Topics covered