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. What do these scenarios have in common? For a modern business operating in today’s dynamic environment, all three are powered by predictive analytics.
Increasingly, artificial intelligence and machine learning technology (AI/ML) is enabling high-value predictions that lay the groundwork for better decision-making. Advanced analytics, including generative AI, hold the power to sharpen your company’s competitive edge, drive operational efficiencies, and maximize growth.
With generative AI, data scientists can more easily make sense of ever-growing datasets. They can automate tedious tasks like filtering and parsing huge volumes of data to quickly extract meaningful information.
Join us to learn how leaders are overcoming 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.