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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.
186 results
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Unstoppable Business Innovation: Amazon Nova Models Meet SAP’s Generative AI Hub
Reading time: 2 mins
SAP has announced the integration of Amazon’s Nova foundation models into its AI Core generative AI hub at AWS re:Invent 2024, enhancing enterprise access to advanced language models for automating workflows and generating insights within SAP BTP.
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Experience the Power of AI Autonomy
Reading time: 4 mins
AI agents represent a significant evolution in technology, enabling autonomous decision-making and enhanced efficiency in business operations by leveraging connected enterprise data and advanced AI capabilities to learn, adapt, and manage complex tasks without human intervention.
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SAPinsider Magazine – Fall 2024
Reading time: 1 min
In this issue of SAP Insider Magazine, SNP's CEO reflects on his journey to the C-suite and emphasizes the importance of clear mandates, measured goals, and experimentation for SAP users to effectively leverage data transformation, AI, and automation. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in…
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Make AI Work for Your Business!
Reading time: 6 mins
The SAP Business Technology Platform effectively customizes AI solutions to meet unique business needs by integrating relevant data management tools and Large Language Models, enabling organizations to drive transformation and streamline decision-making while ensuring data security and governance.
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Deliver trusted AI with unified data and AI governance using SAP Datasphere and Collibra Data Intelligence Platform
November 20, 2024
Organizations face challenges in advancing AI from experimentation to production due to lack of business alignment, regulatory concerns, and trust in AI models, making unified data and AI governance essential for accelerating AI initiatives, as discussed in an upcoming webinar by SAPinsider and Collibra.
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SAP Test Automation Made Easy
Reading time: 1 min
At Panaya, we leverage our extensive AI expertise to guide you on what to test, what to automate and how, propelling you into the fast lane of effective automation like no other. Our platform is designed to simplify your testing processes, providing an intuitive, codeless, user-friendly experience ultimately enhancing the quality of your applications.
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Generative AI in Business Applications and Software Testing
Reading time: 10 mins
Generative AI is an advanced form of artificial intelligence that utilizes machine learning and deep learning to create original data based on existing patterns, significantly enhancing business efficiency and software development processes by automating tasks, improving productivity, and facilitating collaboration.
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AI-Powered Test Automation
Reading time: 1 min
Panaya combines SAP expertise and AI knowledge to optimize testing and automation strategies for clients.
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- SAP AI
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Business AI with SAP: What, Why, Where, & How
Click Here to View the Presentation Deck Are you being bombarded with news about AI? Are you trying to get an understanding of how AI figures in SAP’s product portfolio? Are you wondering how AI will help you in running your business in SAP in a more intelligent manner? Do you want to start your...…
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- SAP AI
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Build the Next Generation of SAP Applications with AWS Generative AI
Click Here to View the Presentation Deck This session provides an overview of how SAP customers are looking to modernize their business processes. Understand how AWS services like Amazon Bedrock can help customers incorporate Gen AI capabilities into SAP related business processes to improve efficiencies and to create new revenue streams. You can learn about...…
Featured Insiders
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Indrajit Roy Chowdhury
Vice President, Nielsen Media Research
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Laz Uriza
Business & Sales Strategy Director - WW SAP on Azure Strategy Lead
Global Sales & Strategy Lead, Microsoft
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Andreas Welsch
VP & Head of Marketing & Solutions - Artificial Intelligence, SAP
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