Key takeaways
- SalesForce has open-sourced its machine learning tool, TransmogrifAI, which underpins its Einstein AI technology.
- The decision aims to enhance AI solutions in customer services and sales for SalesForce.
- Shubha Nabar highlighted the complexity of building enterprise ML systems tailored to unique customer data.
- Personalised machine learning models are essential for effectively addressing diverse customer needs and business processes.
TransmogrifAI is an AutoML library written in Scala which primarily runs on Spark. It was developed with a focus on accelerating ML developer productivity through automation, and helps in building ML systems at an enterprise level. It also promises an efficient coding process with just few lines of code in executing tasks, where a data scientist can automate data cleansing, feature engineering, and model selection to arrive at a performant model without hassles. With automation being the focal point in achieving ML solutions, the availability of TransmogrifAI for free will definitely boost SalesForce’s developments in ML as well as AI. Earlier to this, other tech giants such as Google and Oracle have open-sourced their ML tools. While Google has brought out its own open-source project, Oracle has made its network protocol software GraphPipe freely available to ML developers.Very excited to open source Salesforce Einstein #TransmogrifAI, our auto machine learning library for structured data. Salesforce Einstein already powers 3B predictions across @Salesforce every day. https://t.co/yn9GThovgB @SalesforceEng @RichardSocher @shubhanabar
— Marc Benioff (@Benioff) August 16, 2018
