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Training and Deployment of Custom AI Models

Steps

  1. Overview
  2. Pre-requisites
  3. Key Choices and Guidelines
  4. Implementation

1 Overview​

Description​

The training and deployment of custom AI models within SAP BTP is designed to augment the company's existing capabilities by introducing tailored AI solutions. This section explores best practices for training and deploying custom models, focusing on integrating them seamlessly into existing business processes.

Building custom AI models involves an initial assessment of existing solutions in the company’s SAP Business AI portfolio. This initial step ensures that the deployment leverages and complements the current technology landscape, rather than duplicating capabilities or functions.

It is recommended that you go through SAP Business AI to understand the strategy and AI offerings to support your business scenario. Before you go for a custom predictive model development, it is recommended to review the available solutions in the SAP Business AI portfolio to find out-of-the-box offerings that suit your business needs. If you haven't found a suitable solution, then it's time to consider building a custom AI model on the SAP BTP platform.

Expected Outcome​

The primary goal of this practice is to effectively integrate custom AI models (tailored AI solutions) into an existing business structure, thereby maximizing the utility and impact of AI technologies. It aims to optimize operations, improve decision-making, and deliver scalable, sustainable AI improvements that align well with business goals.