Arrakis Consulting Timeline Updates

Arrakis Consulting video series...Part 3 - The AI Vendor Question That Exposes Bad Contracts

by Arrakis Consulting
Arrakis Consulting video series...Part 3 The AI Vendor Question That Exposes Bad Contracts

Protect your business with AI data security best practices. Learn how to track data journeys and mitigate risks in AI models.

Understanding the lifecycle of your information is critical when implementing new technology. This video breaks down why AI data security matters and how training data reuse can expose your organization to unnecessary liabilities. We focus on the practical steps needed to maintain control over your intellectual property while leveraging third-party tools.

Whether you are managing vendor oversight or addressing specific data residency compliance requirements, this guide provides a framework for asking the right questions. You will learn how to evaluate your current setup to ensure your AI model risk is minimized, keeping your proprietary information safe from common pitfalls.

Subscribe for weekly AI governance breakdowns, and comment below on which data privacy challenge you want us to cover next.

Risk Management Reimagined #fortuna #consulting

by Arrakis Consulting
Risk Management Reimagined #fortuna #consulting

Streamline your projects using the Fortuna Risk Compass for better risk management.

See how this tablet-based tool improves visibility and keeps complex workflows organized. If you need a practical way to track project risks and stay on top of your tasks, this walkthrough is for you.

Subscribe for more practical tool reviews to help manage your daily operations. Contact [email protected] for more info.

What Happens If AI Has No Rules?

by Arrakis Consulting
What Happens If AI Has No Rules?

The rise of AI brings tremendous opportunities, but also significant ethical considerations. Our latest video addresses the importance of robust ai ethics and ai risk management to ensure responsible deployment. Learn about ai policy, ai compliance, and data governance to navigate the complex landscape of AI, and consider the broader ethics that come with this technology.