SAP Machine Learning

Digital technologies are reshaping the world around us, including how companies operate. Mobility, machine learning, Internet of Things (IoT), and other innovations have shifted how companies, customers, partners, and employees interact. Organizations will therefore need to embrace new ways of working and harness their business networks. Learn how SAP plans on keeping the customer at the center of everything by offering access to a broad array of solutions and technologies to help businesses use emerging technologies to generate greater value for their customers today and into the future.

Learn about several ways to incorporate machine learning into your core functions to streamline your overall business.

Machine learning capability within an artificial intelligence (AI) platform is where AI is headed.

 

See why machine learning is becoming a game changer across all sports and how it can even address the luck factor.

Although generating high-quality, realistic synthetic data for machine learning training applications has become easier, it will never replace human-annotated training data collected in the real world. Find out why humans are still needed.

Machine learning has had a tremendous impact on manufacturing today. Whether its service parts demand forecasting, new product introduction, or service parts pricing, companies can leverage artificial intelligence to optimize processes and see immediate benefits.

Learn how to connect a manufacturing execution system (MES) to SAP ERP Central Component (SAP ECC). Understand common use cases and best practices during the implementation. Learn integration options, avoid common pitfalls, and get help planning a multi-plant system rollout. View corresponding SAP transactions that allow you to review and troubleshoot MES data

See some examples of integration solutions based on SAP-provided replication tools that you can use to integrate SAP and non-SAP applications. The tools support a wide variety of data types (structured and unstructured) and formats (including data streams).

See how to use Customizing Scout, which is part of SAP Solution Manager’s Customizing Synchronization suite. This functionality enables you to compare functional IMG configuration between two systems. These systems must be connected in Solution Manager and should be configured with the necessary authorizations. It is useful especially when manual activity is involved in a comparison of the synchronization, distribution of configuration, and master data differences between two systems.

With the exponential growth of data from multiple sources, using conventional methods for extracting it is time-consuming, costly, and resource intensive. SAP has simplified Multi-Source Universes in SAP BusinessObjects 4.0 as an answer to this issue. Created with the Information Design Tool (IDT), a Multi-Source Universe can combine data from SAP Business Warehouse (SAP BW) with other relational databases, such as Oracle and SQL Server. See how to create a Multi-Source Universe in this step-by-step guide.

SAP BusinessObjects Cloud offers data connectivity to many on-premise and cloud data sources. You can either acquire data into SAP BusinessObjects Cloud or connect to the data source in real time without any replication. Learn how you can use each of the data sources available in SAP BusinessObjects Cloud, then review the use cases and the configuration required for them.

Discover how to apply two extensibility options to modify SAP S/4HANA business functionality.

Two paths lead the way to the use of artificial intelligence (AI). One is the more likely direction.

 Understand the impact blockchain can have on your supply chain.

This alphabetical guide to key artificial intelligence (AI) terminology can help you put AI technology to work. 

Learn about four layers behind artificial intelligence: data collection, data storage, data processing and analytics, and reporting and output.

Blockchain is the next evolution of recordkeeping, perhaps the most significant since the eighth millennium BC.

Learn about several ways to incorporate machine learning into your core functions to streamline your overall business.

See why machine learning is becoming a game changer across all sports and how it can even address the luck factor.

The blockchain has made a big impact on financial industries, but it can also have a positive effect on data and transactions across smart cities.

Artificial intelligence can help your sales efforts in seven ways.

Machine learning capability within an artificial intelligence (AI) platform is where AI is headed.

 

Emerging technologies, such as machine learning and artificial intelligence, have had a tremendous impact on the healthcare industry. With greater and more intelligent analytics, diagnostic and predictive healthcare options are improving the quality of life for patients around the world.

Emerging technologies such as the Internet of Things (IoT) and artificial intelligence (AI) are changing the emphasis to consumers.

Would you let an AI robot run your business? Deep Knowledge Ventures, a Hong Kong-based life science venture capital company, has already appointed an AI robot to its board of directors. Many companies are already weighing the benefits of leveraging AI-powered robots for more informed business decisions. 

Some of the world's most troubling issues — climate change, the energy crisis, healthcare, and overall safety — are being addressed with emerging technology such as artificial intelligence and big data. Analysts are gleaning more and more insights everyday to help make the world a better and safer place.

With IT working in silos, visibility into operations can be greatly limited. New technology such as machine learning can allow for cross-silo information transfer, enabling IT Operations Analytics (ITOA) to gain a broader view of data.

Review these considerations for using a global template for implementing SAP SuccessFactors Employee Central Payroll. Various decisions may positively or negatively affect your payroll implementation.

Why, for right now, deep learning is the best universal algorithm.

Many people are familiar with artificial intelligence, but what happens when the line between machine and biology begins to blur? Biomimicry, machines imitating biological systems, has many implications in the healthcare industry. As the Internet of Things continues to grow, so will the evolution of machine learning capabilities. 

As artificial intelligence becomes more prominent in our day-to-day lives — think Siri, Alexa, and self-driving cars — we need to consider how it can be applied to any industry to increase efficiency and accuracy of business processes. In the end, however, business still requires a human touch to connect with customers and provide the best service possible. 

Keep an eye on the gaming industry to see what artificial intelligence innovation is coming next.

Learn how to leverage a new technique using beacon technology to enhance a customer's overall app experience. Discover new ways to influence how people interact with their surroundings.

Read about three trends that Kevin Gidney of Seal Software expects to emerge in 2017.

While a data lake provides an economical storage option for information, it is not without its set backs. As data volumes continue to grow, it becomes more and more difficult to decipher the insights hidden within. Organizations must perform data discovery and exploratory analysis, in conjunction with analytic applications, to glean true value from their data.

Machine learning has had a tremendous impact on manufacturing today. Whether its service parts demand forecasting, new product introduction, or service parts pricing, companies can leverage artificial intelligence to optimize processes and see immediate benefits.

Millions of data points gathered from artificial intelligence are going to help fight world hunger in many ways, from improved seeds, to better application of herbicides, to analysis of plant diseases.

To be successful, companies must operate with complete transparency and gain the trust of employees and customers alike. But with fake news running rampant, it can be difficult to sift through the noise and get to the facts.

Artificial intelligence has greatly improved business processes and while many experts see its benefits, some are concerned about potential risks it could create. Around the world, business experts are beginning to discuss the considerations around regulating artificial intelligence.

Although generating high-quality, realistic synthetic data for machine learning training applications has become easier, it will never replace human-annotated training data collected in the real world. Find out why humans are still needed.

As consumers continue to show a preference for online shopping, e-commerce businesses benefit from increased revenues. Consequently, traditional brick-and-mortar retail businesses are turning to digital technologies to keep pace with the online retailers. Learn four benefits that predictive analytics can provide for a retail business.

See how the growth of Internet of Things (IoT) devices has created a need for a more robust infrastructure to handle these devices.

Emerging technologies, such as machine learning and artificial intelligence, have had a tremendous impact on the healthcare industry. With greater and more intelligent analytics, diagnostic and predictive healthcare options are improving the quality of life for patients around the world.

Companies are turning their data into revenue generators by using machine learning and analytics.