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 for SAPinsiders

  • 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.

52 results

  1. Data Management

    Getting Ready for AI with a Strong Data Management Foundation

    Reading time: 5 mins

    Garbage in, garbage out. We’ve all heard the adage applied to business process design, enterprise systems implementation, and really any scenario that has raw material as an input and a finished good as an output. The quality of the result depends on the quality of the inputs. This has been true for decades when applied…
  2. Microsoft and SAP SE Present New Solutions for Business Challenges

    Reading time: 2 mins

    SAP SE has announced the next step in its partnership with Microsoft, using generative AI to help solve customers’ business challenges.
  3. IBM and SAP Come Together to the AI Table

    Reading time: 7 mins

    Businesses want to speed up their transformations by leveraging data to overhaul their operations. This helps them make informed decisions and boost agility, innovation, and efficiency. Many are also reassessing core processes tied to major systems like SAP. As these businesses delve into novel methods, such as AI, to tap into their transformative potential and…
  4. The Tele-Parkinson journey: From idea to innovation powered by AI/ML and SAP BTP

    September 29, 2023

    SAP and DXC Technology have been co-innovating to create a digitized solution to transform how clinicians support patients with Parkinson’s Disease using a combination of decision support and individualized patient care.  Leveraging SAP Business Technology Platform (BTP) and harnessing the power of continuous machine learning and an artificial intelligence (AI) algorithm, the goal of the…
  5. Microsoft Makes Strong Play to Drive AI Transformation

    Reading time: 6 mins

    Microsoft has been at the forefront of the AI revolution and is driving substantial AI transformations across multiple sectors. Recognizing the potential of AI to shape the future of computing, Microsoft intensified its focus on developing intelligent, responsible, and inclusive AI technologies that can augment human capabilities and productivity. Microsoft Cloud is powering AI transformation…
  6. Plants Abroad

    IBM Unveils WatsonX, an Enterprise-Ready AI Platform

    Reading time: 1 mins

    IBM has introduced WatsonX, an AI and data platform designed for enterprise applications. The platform is comprised of the watsonx.ai studio for foundation models, generative AI, and machine learning; the watsonx.data data store built on an open lakehouse architecture; and the watsonx.governance toolkit for transparent AI workflows. The platform enables businesses to leverage foundation models…
  7. SAP Invests in Leading Generative AI innovators – Aleph Alpha, Anthropic, and Cohere

    Reading time: 3 mins

    SAP has announced strategic investments in three leading generative AI innovators – Aleph Alpha GmbH, Anthropic PBC, and Cohere. SAP’s AI approach includes a comprehensive strategy that involves significant direct investments, robust research and development for AI applications, and collaborations with prominent entities like Microsoft, Google Cloud, and IBM. SAP’s reaffirmed commitment to an open…
  8. KPMG and Microsoft Partner to Enhance Professional Services with AI

    Reading time: 2 mins

    KPMG and Microsoft announced they are expanding their longstanding partnership with a multibillion-dollar commitment in Microsoft’s Cloud and AI offerings over the next five years. KPMG said the partnership will provide a growth opportunity of more than $12 billion. As one of the world’s largest professional services providers, KPMG’s plan to infuse AI into many…
  9. Nagarro and Google Cloud Honor 2023 Innovation Challenge Winners

    Reading time: 1 mins

    Nagarro, a digital engineering leader, and Google Cloud recently announced the winners of the Innovation Challenge 2023 with Wiener Städtische, Salzburg AG, and Vienna Airport occupying the top three spots. Wiener Städtische claimed first place with their project, voogle, a customized AI-powered search engine that aims to revolutionize the insurance industry. Salzburg AG secured second…
  10. Driving Business Agility at Scale through SAP Migration: A Conversation with AWS, TIBCO, and Cognizant

    Cognizant and Microsoft Revolutionize Business Operations with AI and Sustainable Practices

    Reading time: 1 mins

    Cognizant and Microsoft have expanded their collaboration to drive business transformation in. With a partnership dating back to 2002, the companies have achieved significant advancements. The Cognizant Microsoft Business Group specializes in end-to-end Microsoft-centric cloud solutions focusing on innovation and maximizing business outcomes. They have also launched the Cognizant Sustainability Accelerator, powered by Microsoft Cloud,…