- Overview of AI-ready data and its importance
- Key challenges in preparing data for AI
Description
AI is more than algorithms and data.It’s about trust, responsibility and ethical considerations. Ensure your AI initiatives are built on a foundation of responsible governance, where clear accountability acts as a catalyst for innovation. With consistent standards guiding every step, you can confidently explore the full potential of AI.
We help you unleash the power of your data by preparing it for AI. With a focus on data quality, platform optimization, and model governance, we make sure your AI initiatives are built on a solid, trusted foundation—ready to scale, perform, and deliver real value.
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Experts
Gilles Apcher
Senior Sales Engineer
Lauritz Ule Schnatmann
Consultant
Agenda
Introduction
Creating AI-Ready Data: Why and How?
- Detailed explanation of the data preparation process
- Best practices for ensuring data quality and security
AI Model Governance Framework
- Presentation of the Quest 7 steps for effective data and model governance
- Strategies for maintaining compliance and security
Erwin Data Intelligence Portfolio
- In-depth look at the solution components
- How Erwin tools facilitate data intelligence and governance
Live Demo
- Setting up a new certified AI model
- Curating an existing AI model
- Analyzing and evaluating the impact of changes
- Monitoring data drift and implementing measures
- Ensuring data quality and addressing drifts
Basic information
Prerequisites
Basic knowledge on Data Management and AI
Method
Online-Webinar
Target audience
Chief Data Officers, Data Stewards, Data Owners, AI Model/System Owners, Data Architects
Languages
English
