Predictive insights are the lifeblood of today’s business. Imagine that your product team is
coming up with new features, your operations team is investigating supply chain issues, and
your marketing team is developing 360-degree profiles of customers. Wondering what these
three scenarios all have in common? For a modern business operating in today’s dynamic
environment, all three are powered by predictive analytics.
Working behind the scenes, artificial intelligence (AI) and machine learning (ML) enable high-
value predictions that lay the groundwork for better decision-making. These analytics, including
the new promises of Generative AI, hold the power to sharpen your company’s competitive
edge, drive operational efficiencies, and maximize growth.
With Generative AI, your team of data scientists can streamline the way they make sense of
ever-growing datasets. It allows them to automate tedious tasks like filtering and parsing huge
volumes of data so they can draw out meaningful information.
Join us to learn how leaders are hurtling the common pitfalls around AI workflows, how
Teradata and Amazon Web Services (AWS) are penetrating barriers to predictive analytics, and
how data scientists can scale analytics leveraging an integrated AI toolset.