Moreover, SAP announced an investment in intelligent robotic process automation (RPA). It is intended to help SAP automate repetitive processes across its portfolio. Furthermore, SAP plans to release smart application design capabilities in the SAP Analytics Cloud solution. Additionally, it has added new partner content in the business content library.
This announcement was made at the SAP TechEd conference that took place in Barcelona.
“With intelligent robotic process automation, our customers will be able to achieve a high automation level. Consequently, they will become intelligent enterprises,” said Juergen Mueller, chief innovation officer at SAP.
Mueller adds, “Machine learning acts here as the brain that is managing exceptions and guides the RPA bot to execute on desired processes. With our enterprise-grade offer for SAP Conversational AI, we have taken a step further than our previously announced industry-specific packaged bots. The expansion allows customers to automate their customer support with chat bots. Consequently, these updates, together with new smart analytics capabilities, are the next big milestone to bring intelligence to our customers.”
Easing the integration of ML with intelligent foundations
Moreover, SAP Leonardo Machine Learning offers intelligent solutions that enable developers to consume, design and scale machine learning (ML) according to their needs.
With the kickoff of its enterprise-grade offer, SAP Conversational AI becomes a fast and high-performing bot building service. Corporations can now roll out powerful customer support bots to drastically boost their productivity in days. The release, available at the end of October this year, is supported by the launch of five features listed below.
Additionally, SAP continues to invest in machine learning capabilities for data scientists to train their own custom ML models, and in newly released ML services. This is part of SAP’s strategy to move toward a single solution to deliver a unified ML experience across the SAP offering, with access to key open source ML technologies.
This solution is intended to support easy deployment of ML models into production and at scale. It additionally aims to ease the burden on IT organizations that manage the lifecycle and integration of machine learning into their corporate environments.
New ML services
- Scene text recognition extracts text from arbitrary image contents and scenes. This is useful for reading product labels or brand names with different text colors, sizes and styles.
- Customizable image segmentation is a trainable service to perform pixel-wise classification. It allows for the detection and recognition of objects in pictures and their shapes. This can be used, for example, to detect packaging used in retail stores such as bottles or cans.
- Customizable text feature extraction is a trainable service to detect fine-grained patterns in text. It enables the matching of similar documents.
- Cloud text-to-speech by Google converts written text to speech to power conversational applications.
- Cloud speech-to-text by Google converts speech to written text with DeepMind WaveNet technology to power conversational applications.
As part of SAP’s partnership with Google, SAP’s machine learning offering is planned for availability on the Google Cloud Platform (GCP) in November 2018. As a result, customers can use GCP and SAP Cloud Platform together to build applications for an intelligent enterprise. SAP and Google continue to collaborate to provide additional services for SAP Cloud Platform.
To increase business efficiency and reduce costly, manual, repetitive work, SAP will expand its ML portfolio with intelligent robotic process automation. This entails the combination of RPA, machine learning and conversational AI in one end-to-end automation stack.
Planned availability for the first product is in early 2019. It will start with a robot infrastructure for S/4Hana. This infrastructure is designed to automatically click through a workflow with multiple steps and applications while learning from exceptions.
Smart capabilities power analytics apps
Building on recent machine learning innovations for business users in SAP Analytics Cloud, SAP aims to enable developers and professional designers to build analytic applications. They integrate a rich set of capabilities to meet sophisticated business requirements. Planned availability is the fourth quarter of 2018.
With a dedicated development environment, application design capabilities in SAP Analytics Cloud are intended to offer advanced scripting. Furthermore, they offer standardization of analytics content, and analytic extensions. This is possible with software development kits and application programming interfaces.
Professional design of centrally governable analytic content is planned to range from dashboards using guided analytics to sophisticated planning and smart applications using machine learning. Additionally, new partner content is available in the business content library of SAP Analytics Cloud.
SAP Analytics Cloud Best-Practice business content for S/4Hana
Best-practice business content in SAP Analytics Cloud provides a more comprehensive insight into an organization’s reporting dashboards. Consequently, the business content library comprises a broad spectrum of packages with end-to-end business scenarios for specific industries and lines of business designed to work with many SAP products, including S/4.
The new partner content contains predefined stories, dashboards and agendas in SAP Digital Boardroom. Moreover, it also contains data models designed for and tailored to S/4 to allow a rapid foundation for individual analytics business scenarios. Examples include selected planning packages for finance, HR salary planning and project staff planning. These are now available for S/4 Hana Cloud customers.