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.

33 results

  1. ai eliminate barriers

    Using AI to Eliminate Barriers to Entry

    Reading time: 5 mins

    Advances in technology and computing, like AI algorithms, are lowering barriers to entry across industries. Barriers to Entry, in simple terms, mean that the investment and resources that a new player needs to enter a market are high enough to keep the majority of prospects out. So what aspects have led to significant lowering or,…
  2. Conversational AI

    Conversational AI for Inventory Planning

    Reading time: 3 mins

    Conversational AI is a powerful tool already being leveraged in many functions and augmented analytics tools. There is an opportunity to further explore this technology in the area of supply chain planning. This article explores how conversational AI can be leveraged for inventory planning and management. With application examples, it touches upon the two key…
  3. AIOT

    AIoT in Supply Chain Planning

    Reading time: 5 mins

    Internet of things (IoT) devices are now being used in most major supply chains in some forms, at various scales. These devices leverage the internet to collect and exchange data about supply chain activities. Cisco estimates that by 2025, there will be 42 billion IoT devices in use globally. Cisco also estimates that IoT devices…
  4. AI Driven Automation image

    Overcome order management bottlenecks through AI Driven Automation

    May 23, 2022

    In a world where consumers want products quickly and effortlessly- Many businesses are facing challenges such as fulfilling high volumes of online orders, timely dispatch, human error from outdated manual processes and tracking products through their order lifecycle. Join this webinar to learn how order management automation can help to overcome these challenges by providing…
  5. AI Talent Management

    Competitive Advantage Through AI-Powered Talent Management

    Reading time: 6 mins

    As per statistics released by the Manpower group in 2021, over 20 million jobs were eliminated during a two-month period in 2020. If that was the trough, the current labor market scenario is at its peak. In sharp contrast to 2020, 2022 is the best market that job seekers have experienced over their career. Employers…...…
  6. AI Talent Management

    Discussing AI Powered Talent Management with Phenom

    Reading time: 1 min

    Employers can no longer keep relying on legacy data points like educational qualifications and work experience, combined with a conventional interview process to validate skills and determine “cultural fit”. Overall, this approach is legacy, subjective, has multiple drawbacks, and can introduce potential bias opportunities. However, the good news is that with advances in data science,…
  7. evolving ai capabilities image

    Evolving Your Organization’s AI Capabilities

    Reading time: 3 mins

    By Kumar Singh, Research Director, SAPinsider AI is a critical component in helping organizations transform the way they operate, improve customer service, and offer new opportunities to their workforce. At SAPinsider, we will be publishing an AI and ML State Of the Market benchmark report for the first time in early 2022, to capture insights…
  8. Taking AI from Buzzword to Reality image

    Taking AI from Buzzword to Reality

    Reading time: 7 mins

    For many companies, determining where and how to apply artificial intelligence (AI) technology for business gain can be an elusive objective as leaders grapple with understanding its complexity. Viakem, an 81-year-old specialty chemicals manufacturer based in Mexico, recently completed a successful AI initiative to support its HR function. As part of the initiative Viakem’s CIO…
  9. Looking for Opportunities to Leverage Artificial Intelligence (AI) in Your Business ? Use These Three Ingredients

    Reading time: 3 mins

    by Kumar Singh, Research Director, Automation & Analytics, Supply Chain Management, SAPinsider   Common business sense dictates that no two organizations will be the same in terms of organizational structure, culture, current capabilities etc. so any strategic initiative that may work for one  might not work for another. Yet, when we embark on strategic digital…
  10. Introducing ABAP Platform 1809

    Why a Solution That Can Integrate Algorithms Smartly Will Be a Game Changer

    Reading time: 3 mins

    by Kumar Singh, Research Director, Automation & Analytics, Supply Chain Management, SAPinsider   Thinking beyond the obvious We envision that at some point,  AI algorithms will replace existing supply chain planning systems. However, we rarely think about or discuss the architecture of the kind of solution that can make it happen. We will not get…