Machine learning (ML), considered a subset of artificial intelligence, is growing in popularity among businesses that want to create better computing models with high volumes of data in order to make decisions faster. SAP Leonardo and Google’s TensorFlow are both known, in part, for their ability to prototype and integrate with ML projects. In this article, the author compares the subtle differences between the two solutions to help customers determine which utility will meet their individual ML project needs, including real-life examples that demonstrate how two well-known companies are using each product.
After reading this article you will be able to:
- State several similarities between SAP Leonardo and TensorFlow;
- Identify specific differences between the two solutions; and
- Understand which components might make one solution the best option for your ML project.