How SAP Is Utilizing Machine Learning For Its Enterprise Applications

January 20, 2018 | Big Data, Cloud Computing, Disruptive Technologies, Enterprise Systems, SAP, SAP Cloud Platform

In this article on Forbes they mention how SAP has been harnessing machine learning in its applications, which unites human expertise and computer insights.

SAP Leonardo is a digital innovation system that delivers software and microservices that enables customers to leverage new technologies like the Internet of Things, Machine Learning, Digital Analytics, blockchain and Big Data. SAP Leonardo was inspired by Renaissance painter, architect, engineer and philosopher Leonardo da Vinci.

Markus Noga, SAP’s Head of Machine Learning, mentioned in this article that SAP Leonardo was introduced on January 11, 2017 and was extended to include SAP’s entire digitization efforts with a machine learning foundation at SAP’s SAPPHIRE event in May of 2017.

“SAP Leonardo is SAP’s innovation system comprising our most transformative technologies such as IoT, machine learning, blockchain, and others combined with design thinking services and ‘pre-packaged use cases for 25 industries.’ With this systematic approach customers can innovate their digital core and transform their business at scale with high outcome and minimal risk,” said Noga.

SAP has an end-to-end focus on machine learning with a vision that is the broadest in the industry and reaches customers across 25 industries and 12 line of businesses.

There are several SAP Leonardo Machine Learning solutions that are live, including applications in finance, human resources, customer services and marketing.

When Noga is asked for an example of a customer that is utilizing SAP’s machine learning technology, he noted that the company is working with a major German car manufacturing company to automatically analyze brand exposure in videos by leveraging advanced computer vision techniques and proprietary algorithms – which is offered in the SAP Brand Impact service.

In addition, he mentioned another use case of “…a globally operating chemical company is one of our co-innovation partner for SAP Cash Application. They applied machine learning to increase efficiency in their finance organization by improving the collections process and improving cash flow for accounts receivable. With traditional applications, you can do an invoice matchup with a 40% average. With more intelligent algorithms, you might be able to get to 70%. Then they applied machine learning to finance and accounts receivable and it went to 90% plus.”

Noga concluded the interview by pointing out that enabling simple consumption and tight integration with SAP’s enterprise software combined with openness towards the various machine learning technologies on the market will benefit developers.

The benefits include the minimal IT support and costs associated with managed and intelligent web services, the innovative business-model realization using advanced algorithms, the increased responsiveness to changing business environments with enriched enterprise applications and improved business outcomes.

Source: How SAP Is Utilizing Machine Learning For Its Enterprise Applications

This entry was posted in Big Data, Cloud Computing, Disruptive Technologies, Enterprise Systems, SAP, SAP Cloud Platform on January 20, 2018 by Christian Sellu.