Jacqueline Woods, chief marketing officer, Teradata, chats with Bob Evans about the importance of having reliable data and trusted AI. They unpack Teradata’s recent Trusted AI survey, demonstrating executive perspectives on AI outputs and the importance of transparency and traceability in data.
Trusted AI Models and Strategies
The Big Themes:
- Data reliability: After conducting a survey, Teradata found that 40% of executives don’t trust their own data to generate accurate AI outputs. AI requires traceability and transparency around where data comes from. Teradata helps combat this disconnect by providing access and opportunities for companies to use their data in more compelling ways to achieve the business outcomes they’re looking for.
- 3 Pillars of AI: Teradata recognizes people, transparency, and value creation as three core elements of AI. Having clean data that you can trust is critical. Ensuring ROI on the AI investments to create value is essential. Having a process that provides better compliance, governance, and security is vital.
- AI strategy: Business leaders and the C-suite must understand their own inputs and outputs to make the company better. Teradata believes in building Trusted AI models to ensure businesses have outputs they can rely on.
The Big Quote: “We believe that trusted AI is really the way that people, data, and AI work together…Ultimately, it is the responsibility of the people that are managing those environments, using that data to ensure and determine that it’s used in the right purposes.”
Learn more about Teradata and AI:
Check out an ebook about the survey and a supporting webpage on the concept of Trusted AI.
