AI & ML

Why AI & ML?

We

  • perform advanced data analytics and develop data science models to achieve business goals at increased speed and agility
  • help internal product teams perform architecture reviews, develop best practices, comply with governance, and build frameworks the rest of the organization can leverage to transform their business using AWS.
  • develop and train ML algorithms for recommendation, personalization, and forecasting models

Steps

  1. Build, develop, and test models; for example, recommendations and predictive models
  2. Clean and transform data
  3. Gather summary statistics
  4. Perform exploratory data analysis (EDA) on the transformed data
  5. Tune and enhance data models

Chatbots

  • for the public
  • for employees
  • for maintenance staff/ operations