What is Artificial Intelligence?

In simple terms, Artificial Intelligence (AI) refers to systems or solutions that can replicate human decision-making capabilities. These solutions often leverage a combination of software and hardware to mimic human capabilities like problem -solving and decision making.

AI Enabled Applications in SAP Portfolio

SAP applications leverage AI and ML algorithms extensively to either embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, or allow data scientists and ML engineers to build advanced ML models and solutions. SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful in-built tool is the Predictive Analytics Library (PAL). SAP data intelligence has a rich ML content library. Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced Machine Learning (ML) algorithms. While ML algorithms have many applications, predictive analytics remains a key one.

What is Artificial Intelligence?

In simple terms, Artificial Intelligence (AI) refers to systems or solutions that can replicate human decision-making capabilities. These solutions often leverage a combination of software and hardware to mimic human capabilities like problem -solving and decision making.

AI Enabled Applications in SAP Portfolio

SAP applications leverage AI and ML algorithms extensively to either embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, or allow data scientists and ML engineers to build advanced ML models and solutions. SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful in-built tool is the Predictive Analytics Library (PAL). SAP data intelligence has a rich ML content library. Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced Machine Learning (ML) algorithms. While ML algorithms have many applications, predictive analytics remains a key one.

On the business processes side, SAP AI offering  promises to infuse transformative intelligence to all key business processes areas like lead to cash, design to operate, source to pay and recruit to retire. AI algorithms help include innovative features across all these processes.

Key Considerations

  • Develop a fundamental understanding of AI algorithms: Explore what specific algorithms are available and understand where they can be leveraged. This will help you get optimal value from these tools. As an example, you should be aware that you can use clustering algorithms for customer segmentation. Here is an example of a good overview of critical algorithms used in SAP applications.
  • Understand the limitations of underlying data infrastructure: Understanding aspects of the underlying database is also critical. This helps you build pragmatic models. As an example, HANA has a 2 billion rows limitation, and hence you may have to leverage partitioning of tables for data larger than that. This impacts your model development as well.
  • Understand the limitations of tools available: Understanding the ML tools’ limitations is another aspect that saves you a lot of pain. For example, some PAL algorithms have limits on the number of parameters. This means you will have to pay more attention to feature selection or feature engineering while building models with these algorithms. You can find several examples of these limitations on the SAP help portal and SAP blogs.

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  1. SAP and Its Partner Ecosystem Collaborate for Success

    Published: 06/November/2017

    Reading time: 6 mins

    Many companies today are finding themselves in need of guidance when it comes to tackling their biggest business challenges. With the help of its partner ecosystem, SAP is working to support customers in overcoming these issues. For example, take SAP’s global alliance with United VARs. United VARs received a 2017 SAP Pinnacle Award for Special…

  2. The 4 Key Layers of the Artificial Intelligence Technology Stack

    Published: 13/October/2017

    Reading time: 4 mins

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

  3. Simple Explanations of Key Artificial Intelligence (AI) Terminology

    Published: 10/October/2017

    Reading time: 7 mins

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

  4. How Artificial Intelligence Can Improve Sales

    Published: 26/September/2017

    Reading time: 3 mins

    Artificial intelligence can help your sales efforts in seven ways.

  5. The IoT and AI Are Breaking Down Old Application Categories

    Published: 19/June/2017

    Reading time: 3 mins

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

  6. Succeeding with Artificial Intelligence

    Published: 16/May/2017

    Reading time: 3 mins

    As artificial intelligence emerges from a concept to technology used in actual solutions for business challenges, organizations need to find tools to handle this emerging reality.

  7. Artificial Intelligence: Expansion, Adoption, and the Value for Business Intelligence

    Published: 22/March/2017

    Reading time: 3 mins

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

  8. The Self-Driving Enterprise: How AI Will Make Apps and Us Work Better

    Published: 01/March/2017

    Reading time: 4 mins

    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…

  9. A Dose of AI Could Be the Cure for Hospital Data Center Cyberattacks

    Published: 22/December/2016

    Reading time: 6 mins

    Machine learning can help protect electronic health records from hackers.

  10. Could an AI Robot Run Your Company?

    Published: 20/December/2016

    Reading time: 2 mins

    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.