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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
- 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.
70 results
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Innovation with the AI Leader for APAC
Published: 11/December/2024
Reading time: 2 mins
FPT Software, a Vietnamese technology provider, is advancing AI integration in business operations and SAP consultancy, offering tools like SAP Signavio and innovative methodologies that position it to lead in the Asia-Pacific market where generative AI adoption is a top priority for midmarket businesses.
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- SAP AI
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Creating a Roadmap for Delivering Valuable AI Use Cases and Is Your Data Ready for AI?
December 10, 2024
Capturing and realising the full value of AI requires the right strategy, culture, technical and data capabilities. Some might say that the data and organisational readiness are the most difficult nuts to crack. Let’s share ideas on how to unlock the power of AI, select the right approach to deliver early value, and establish a...…
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Furukawa Electric Group: Accelerating digital with SAP S/4HANA
Published: 24/October/2024
Reading time: 1 min
Furukawa Electric Group divisions each used their own systems, leading to a lack of efficiency and coordination. Fujitsu helped implement the OneFIT project and adopt SAP S/4HANA to standardize and optimize operations. Download PDF
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GenAI adoption is a top priority for APAC midmarket
Published: 27/September/2024
Reading time: 2 mins
Ninety Four percent of midmarket businesses in Asia Pacific (APAC) with high revenue growth are more likely to put a moderate or strong priority on the adoption of Gen AI, eight percentage points ahead of those with lower revenue growth. That’s the finding from recent SAP study of 3,500 people in five APJ markets where…
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The AI Narrative Is More Than Just a Story
Published: 05/September/2024
Reading time: 3 mins
With all the current AI chatter in ERP and cloud, one naturally knows all the major vendors are playing the artificial intelligence game. One could also assume that the happier vendors are to talk up AI, the easier it is to introduce new software on the market. Rightly or wrongly, the presumption here would be…
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Boomi, ServiceNow and the power of AI in CX
Published: 15/August/2024
Reading time: 2 mins
Boomi, a leader in intelligent integration and automation, and ServiceNow, known for its AI-driven business transformation platform, have announced a new partnership aimed to make customer experiences smoother using AI-powered self-service solutions. By combining ServiceNow’s Technology Provider Service Management (TPSM) and Boomi’s API management capabilities, they plan to streamline customer support and enhance ERP features…
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- SAP AI
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Data Strategy in the Age of AI
This engaging session is designed to guide you through the essential components required to initiate a robust Data Strategy, tailored to thrive in the era of AI. Drawing on real-world international use-cases, hands-on experience, lessons learnt and proven frameworks, this session will equip you with the essential tools and insights needed to embark confidently on…
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“Mastering SAP Delivers Another Successful Conference” – Realtech NZ
Reading time: 1 mins
Explore Realtech NZ’s key insights from the Mastering SAP Collaborate conference on AI, cloud computing, and effective planning strategies to optimise your SAP environment.
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- SAP AI
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Deep Dive: SAP Business AI: Making AI Work for Enterprises From Hype to Reality
Explore how SAP's Business AI offerings transform generative AI from hype to reality, enhancing enterprise processes across Finance, Procurement, Supply Chain, and HR with embedded AI and custom models. Mastering SAP Premium Access Membership Required You must be a Mastering SAP Premium Access member to access this content.Join NowAlready a member? Log in here
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- SAP AI
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Embarking on your SAP AI Journey. It Starts with Challenging Business Assumptions.
Australian organisations are in the early stages of fully leveraging AI in their operations. AI is surrounded by hype, misconception and unknown risks that are leaving Australia behind with AI adoption. Yet, to get the most value out of SAP business AI, business leaders need to start challenging their business assumptions. This presentation aims to…
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Suraj Gauli
PWC
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Ram Ranganathan
Deloitte
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