Teradata's Jacqueline Woods on AI Strategy and Data Trust | Cloud Wars Live

 


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."


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