Artificial intelligence and data are converging to revolutionize how companies operate, and Teradata Corp. looks to be at the forefront of this change. From customer experiences to trusted data in AI, the company is tapping NewtonX Inc.’s market knowledge to blueprint a future with data-driven AI excellence.
Teradata’s Jacqueline Woods and NewtonX’s Leon Mishkis discuss trusted data for AI with theCUBE.
“We’ve been partnering with Teradata over the last few years on various research initiatives around brand health, around establishing the right [key performance indicators] for the brand, and most recently, we have launched a very exciting research in the AI space, specifically around trust in AI of senior executives,” said Leon Mishkis (pictured, right), chief operating officer of NewtonX.
Mishkis and Jacqueline Woods (left), chief marketing officer of Teradata, spoke with theCUBE Research’s Rob Strechay and co-host Savannah Peterson at Teradata Possible during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed trusted data and its role in using AI effectively for business success. (* Disclosure below.)
The importance of trusted data
AI’s effectiveness depends on the quality of data. Recent research from Teradata shows that 40% of executives surveyed lack confidence in the quality of their data, which directly impacts their AI models, according to Woods. Poor data results in poor outcomes. Teradata addresses this challenge by offering “golden records,” or pristine, trusted datasets.
“We are the golden record keeper,” Woods said. “One of the things that companies rely upon us for our capabilities is having these trusted records, and we call them golden records. And to understand that what we do is what people are looking for, particularly in this time of AI. The second thing is just a recognition that good data is scarce. It’s scarce, and you have to really curate pristine data — it doesn’t just come.”
Furthermore, companies must exercise caution against using AI simply for the sake of appearing innovative. AI initiatives should be grounded in use cases that create real value, according to Woods.
“It has to be something that’s going to create value for the enterprise,” she said. “I like to think that we major on our customers’ customers because the ambition of most companies is toward who they serve.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Teradata Possible:
(* Disclosure: TheCUBE is a paid media partner for Teradata Possible. Neither Teradata Corp., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)