A Blueprint to Create Reliable AI, by Inga Glotzbach
- Mark Miller
- Mar 21
- 2 min read
Inga Blotzbach is not just a Software & Data Engineer at adorsys; she’s a data enthusiast who thrives on unraveling the mysteries of knowledge graphs and crafting innovative data integration solutions. Her passion for turning complex datasets into meaningful insights makes her a trusted voice in the data engineering community.
Inga's session is streaming live from Nuremberg, Germany during the 24 hour Artificial (Un)Intelligence Conference. 100+ sessions. No sales pitches, no marketing.
Session Description, Blueprint for Reliable AI
AI is transforming the enterprise landscape, but its power and precision all come down to one key ingredient: information. Just as fertile soil is essential for agriculture, high-quality data fuels AI, enabling innovation, automation, and smarter decision-making. Yet, many organizations struggle to harness and refine this resource, resulting in biased models, unreliable insights, and missed opportunities.
This session dives into the evolution of AI’s data ecosystem, the challenges of maintaining data integrity, and the roadmap to building resilient, trustworthy AI. By treating information as the bedrock of AI success, we’ll explore strategies for developing reliable, ethical, and high-performing AI solutions that drive real business impact.
Tim Biedenkapp will be presenting with Inga.
Together, Inga and Tim co-host the popular podcast Tapas & Pretzels. Through engaging conversations, they explore the nuances of digital transformation with a spotlight on API and AI technologies. Their combined expertise and storytelling flair make complex concepts accessible and actionable for a diverse audience.
Takeaways from this Session
1. Reliable AI requires more than just good data
High-quality data alone is not enough—organizations need structured processes that ensure data transparency, accuracy, and compliance with AI regulations like the EU AI Act.
2. Structured data governance ensures trust and accuracy
Data must be correct, traceable, and securely managed to maintain consistency and reliability. Only with robust data governance can AI deliver trustworthy and unbiased results.
3. Data privacy and AI compliance are non-negotiable
Organizations must ensure their AI models are not only powerful but also compliant with data and AI protection regulations. A structured data management approach prevents flawed or biased outcomes and strengthens trust in AI.
The Artificial (Un)Intelligence Conference is a global, 24 hour live online conference. Registration is free, and includes access to all sessions, including on-demand, at the conclusion of the event. No sales pitches, no marketing. Just the good stuff.
We're trying to find the unheralded people around the world who are doing cool things with AI. Is that you?
Check out our speaker gallery and then let us know what you're working on. We look forward to hearing your story.
Comments