Why Decouple the AI/ML Pipeline for Analytics at Speed and Scale

Artificial intelligence and machine learning (AI/ML) are often hindered from achieving optimal ROI due to data standardisation problems rooted in inefficient, non-optimised processes. 

That’s why Teradata developed its Analytics 123 strategy to help both businesses and analytics leaders establish a straightforward roadmap that creates robust, efficient and easily deployed processes that enable AI/ML projects to live up to their promise and deliver real business value.

Read this white paper to discover how:

  • The Analytics 123 approach decouples the different elements of the analytics process and ensures appropriate weight is given to each.
  • To reuse, document and catalogue engineering features in an Enterprise Feature Store to reduce duplication and increase efficiency and consistency.
  • Trained models that are easily ingested back into the enterprise can free data scientists to use any tool or language most suited for the modelling task. 

We use cookies to optimize your experience, enhance site navigation, analyze site usage, assist in our marketing efforts. Privacy Policy