SAS Voices
News and views from the people who make SAS a great place to work
AI governance is an all-encompassing strategy that establishes oversight, ensures compliance and develops consistent operations and infrastructure within an organization. It also fosters a human-centric culture. This strategy includes specific governance domains such as data governance and model governance, necessary for a unified AI approach. Why AI governance matters The
“Generative AI is essentially just a subcategory of AI; it’s not that new algorithms have been invented.” Marinela Profi, AI Product Strategy Lead at SAS, says it up front and directly in her most recent podcast interview. “It takes a variety of data points, code, images and then, based on
Presentation skills are an often-overlooked tool in the data scientist's box, and there's nothing like a room full of police to drive home the message that not everyone is a data geek. Police officers have a more visceral job than data scientists. Formulae, algorithms and methodologies aren't relevant to their
SAS CMO Jennifer Chase and a panel of chief marketing officers offer insights on how they’re weaving AI into the business at American Marketing Association event Recent Salesforce research highlights a fact that didn’t seem to surprise the full-house audience at an American Marketing Association Annual CMO panel at SAS
Stop bias in its tracks – learn about the value of synthetic data for insurance.
A recent SAS survey revealed that 80% of business leaders are anxious about GenAI's data privacy and security implications Owing to these and other concerns, Wells Fargo Chief Data Officer Brian Gibbons and an esteemed panel of AI experts, hosted by Wells Fargo Technology Banking, addressed an audience of the