Errol Rodericks
Shawn Rogers
"So, you want trusted data, but you want it now? Building this trust really starts with transparency and collaboration. It's not just technology. It's about creating a single governed view of this data that is consistent no matter who accesses it, " says Errol Rodericks, Director of Product Marketing at Denodo.
In this episode of EM360's 'Don't Panic, It's Just Data' podcast, Shawn Rogers, CEO at BARC US, speaks with Errol Rodericks from Denodo. They explore the crucial link between trusted data and successful AI initiatives. They discuss key factors such as data orchestration, governance, and cost management within complex cloud environments.
We've all heard the horror stories – AI projects that fail spectacularly, delivering biased or inaccurate results. But what's the root cause of these failures? More often than not, it's a lack of focus on the data itself. Rodericks emphasises that "AI is only as good as the data it's trained on."
This episode explores how organisations can to avoid the "garbage in, garbage out" scenario by prioritising data quality, lineage, and responsible AI practices.
Learn how to avoid AI failures and discover strategies for building an AI-ready data foundation that ensures trusted, reliable outcomes. Key topics include overcoming data-bias, ETL processes, and improving data sharing practices.
TAKEAWAYS
- Bad data leads to bad AI outputs.
- Trust in data is essential for effective AI.
- Organisations must prioritise data quality and orchestration.
- Transparency and collaboration are key to building trust in data.
- Compliance is a responsibility for the entire organisation, not just IT.
- Agility in accessing data is crucial for AI success.
