DAMA SA Data Management

AI can rapidly analyse information, summarise complex content, and generate polished outputs—but it cannot recognise when it is operating beyond its own competence.

That responsibility remains with us.
As organisations increasingly rely on AI-assisted workflows, one of the most important skills is knowing when AI-generated outputs require escalation to a human subject-matter expert.

The greatest risk is not always incorrect information; it is confidently presented content in areas where nuance, context, interpretation, or specialised expertise are critical.
In this webinar, we will explore how to identify the warning signs that indicate AI has reached its competence boundary.

Participants will learn practical techniques for recognising high-risk scenarios, understanding where human judgement becomes essential, and building escalation practices that strengthen governance and decision-making.

Join us as we explore how to keep humans at the centre of critical decisions and ensure AI remains a support tool—not the final authority.

Are you interested in the DAMA CDMP Certification... But not completely sure what it is all about, or how to get it? Whether you're just starting your data management journey or looking to advance your career, this session is for you.

We'll cover everything you need to know about the CDMP certification process, certification levels, exam tips for success, effective study plans, and career pathing assessments.

Don't miss out on this fantastic opportunity to boost your data management credentials and set yourself up for success.

Secure your spot now and take the first step towards becoming a CDMP-certified professional! 🎓

Email Debbie social@modelwaresystems.com for more information

Leverage AI to transform static data models into living insights with Pascal Desmarets
This session delves into the indispensable role of data modeling throughout the AI lifecycle, from problem definition and data exploration to preparation, model training, deployment, and ongoing optimization.

Attendees discover how AI can supercharge data modeling through automated schema recommendations, pattern detection, and metadata generation without supplanting the irreplaceable value of domain expertise.

It highlights emerging integrations, such as semantic technologies and Model Context Protocol servers, that transform static models into dynamic "living APIs" for enterprise intelligence across SQL, NoSQL, and cloud-native environments.

AI can generate reports, draft policies, and recommend actions with impressive speed and confidence—but when decisions are questioned, audited, or challenged, "the AI generated it" is never an acceptable defence.

As AI becomes increasingly embedded in governance and policy processes, professionals must be prepared to explain, justify, and stand behind every decision made with AI assistance.

Accountability does not end when the output is generated; it begins when humans accept and act on it.

In this webinar, we will explore how to develop an audit-ready mindset and maintain ownership of AI-assisted decisions. Participants will learn practical approaches for documenting reasoning, validating outputs, and confidently articulating the rationale behind policy and governance choices in their own words.

Join us as we examine how to build accountability, transparency, and trust in AI-assisted environments—ensuring that people remain responsible for decisions, even when AI helps shape them.