Author: Syed Talal Hussain, Product Expert for Artificial Intelligence.
Welcome to my blog post on Artificial Intelligence and Technologies. With the start of this year, I have started to cover latest updates from not only AI but also the technologies that lay the foundation for AI and enable SAP systems to be smart. This update will cover the latest from SAP S/4HANA Cloud Public Edition 2402.
Let's get started with my YouTube video below on the quick highlights.
Video: Discover what's new in Artificial Intelligence and Technologies
Here are the highlights:
SAP Business AI refers to a suite of artificial intelligence (AI) solutions and capabilities developed by SAP, a leading provider of enterprise software solutions. SAP Business AI leverages AI technologies to enhance various aspects of business operations, including decision-making, process automation, customer engagement, and data analysis. SAP's AI foundation is laid on SAP Business Technology Platform.
Figure: SAP Business AI Approach
Key components and functionalities of SAP Business AI include:
Intelligent Automation: SAP Business AI offers tools for automating repetitive tasks and business processes through AI-powered robotics process automation (RPA) and machine learning algorithms. This streamlines operations, improves efficiency, and reduces manual effort.
Predictive Analytics: SAP Business AI provides predictive analytics capabilities that enable organizations to forecast future trends, identify patterns, and make data-driven decisions. This helps businesses anticipate market changes, optimize resource allocation, and mitigate risks.
Conversational AI (Digital Assistant): SAP Business AI includes conversational AI solutions, such as Joule, that facilitate natural language interactions between users and enterprise systems. These conversational interfaces enhance user experience, and enable self-service functionalities.
Intelligent Insights: Through advanced analytics and AI algorithms, SAP Business AI generates actionable insights from large volumes of data, enabling businesses to uncover hidden trends, opportunities, and correlations. This empowers organizations to make informed decisions and drive business growth.
Personalized Customer Engagement: SAP Business AI enables personalized customer engagement by analyzing customer data and behavior to deliver targeted recommendations, offers, and experiences. This enhances customer satisfaction, loyalty, and retention.
AI-powered Applications: SAP integrates AI capabilities into its enterprise applications, such as SAP S/4HANA Cloud, to enhance their functionality and performance. This enables users to leverage AI-driven features seamlessly within their existing workflows.
Overall, SAP Business AI represents a comprehensive suite of AI-driven solutions designed to help organizations optimize their business processes, drive innovation, and achieve their strategic objectives in an increasingly digital and data-driven world.
For more information, please visit SAP Business AI
In today's rapidly evolving digital landscape, businesses are constantly seeking innovative ways to leverage technology for competitive advantage. At SAP, we understand the importance of staying ahead of the curve, which is why I'm excited to introduce you to our Generative AI approach.
Foundation Models
SAP's Foundational Models are not confined to text alone; they encompass speech, images, and structured data, offering a wide array of capabilities. From summarization and writing assistance to question answering and code generation, these models are designed to revolutionize the way businesses operate.
Tailored Solutions for Your Business Needs
What sets SAP's Foundational Models apart is our commitment to customization and personalization. We understand that every business is unique, which is why we tailor industry knowledge and generic results to meet your specific needs. Through prompt engineering and embedding, we ensure that these models are seamlessly integrated into your existing workflows, providing precise and specific solutions for your business challenges.
Figure: SAP's Approach to Generative AI
Real-World Applications
The applications of SAP's Generative AI are limitless. From delivering intelligent and collaborative ERP solutions to interacting with Cloud ERP systems in natural language, these technologies empower businesses to streamline operations, access information, and solve complex tasks with ease. Whether it's improving the accuracy of document extraction, assisting in content creation and knowledge management, or boosting development productivity with code generation.
Joule in SAP S/4HANA Cloud Public Edition is introduced with release 2402 in Early Adopter Care Program. More details below.
Starting SAP S/4HANA Cloud Public Edition 2402 release, Joule is now available in the Early Adopter Care Program (EAC)*. This AI copilot is designed to revolutionize your interaction with SAP business systems. At its core, Joule aims to simplify every touchpoint and streamline tasks, ultimately enhancing your business operations.
Joule is a comprehensive solution tailored to understand the intricacies of your business. It acts as your companion in navigating the complex SAP Ecosystem, offering transparent, role-based access to relevant processes from any location. With Joule, you experience a unified and delightful user interface across SAP's solution portfolio.
Joule facilitates conversational interactions, enabling seamless communication between humans and computers. It supports three primary conversational patterns:
Moreover, Joule operates within various SAP BTP environments, including Cloud Foundry, Kyma, Kubernetes, or others. It is a multitenant application, ensuring data isolation and independent provisioning for different consumers.
Have a look at the short demo video below.
Demo: Joule in SAP S/4HANA Cloud Public Edition (EAC)
Joule seamlessly integrates with SAP applications, offering a rich web client compliant with SAP Fiori UI controls. Its out-of-the-box integration with SAP backend systems ensures enterprise readiness while maintaining compliance with AI ethics, GDPR, privacy controls, and SOC-II compliance standards.
The benefits of Joule are manifold:
Joule is available in the Early Adopter Care program and more information can be found on the influence platform.
Intelligent Scenario Lifecycle Management (ISLM) is a framework that allows you to perform lifecycle management operations on machine learning scenarios. You can consider ISLM as a self-service tool that allows you to handle various operation requirements of machine learning scenarios. You can train an intelligent scenario and use the trained model to get an accurate inference result.
More information on ISLM is available on SAP Help Portal.
I have two updates to share from ISLM.
In the fast-paced world of business, efficiency and accuracy are paramount. That's why we are thrilled to introduce our latest ISLM use case: Sales Order Auto Completion. Leveraging cutting-edge machine learning technology within the Intelligent Scenario Lifecycle Management (ISLM) framework on SAP Business Technology Platform (BTP), this new scenario is set to transform the way sales orders are processed.
Introducing Sales Order Auto Completion
With Sales Order Auto Completion, users are empowered to streamline the sales order creation process like never before. By harnessing the power of Data Attribute Recommendation, this scenario provides intelligent recommendations derived from historical data, enabling users to complete sales orders with unparalleled ease and precision.
Key Features and Benefits
How It Works
Sales Order Auto Completion seamlessly integrates with the SAP Fiori app "Manage Sales Orders - Version 2", providing users with recommendations for input fields that are crucial for further processing. Additionally, the ISLM App Intelligent Scenarios Management enables users to train the model, upload data for training, view model metrics, and activate it for productive usage.
Watch the demo video below.
Demo: AI-Based Sales Order Autocompletion with SAP S/4HANA Cloud
Availability
Ready to experience the future of sales order management? Sales Order Auto Completion is now available with SAP S/4HANA CFD 2308.3. Increase efficiency, enhance accuracy, and revolutionize your sales order processes with this game-changing solution.
Conclusion
In conclusion, Sales Order Auto Completion represents a positive shift in sales order management. By harnessing the power of machine learning and intelligent recommendations, businesses can streamline processes, reduce manual efforts, and drive greater efficiency and accuracy. Embrace the future of sales order management with Sales Order Auto Completion today.
Looking for more details? This innovation is covered in the blog post by Christian Vogler, Sales in SAP S/4HANA Cloud Public Edition 2402
In today's dynamic business landscape, adaptability and flexibility are key to staying ahead. That's why I am excited to announce this latest feature within Intelligent Scenario Lifecycle Management (ISLM): Multi Model Management. This latest enhancement empowers users to activate multiple concurrent models based on specific business contexts, revolutionizing the way models are managed and deployed.
Introducing Multi Model Management
With Multi Model Management, ISLM users can now activate various model versions simultaneously, each tailored to different business contexts. This capability opens up a world of possibilities, allowing organizations to align their AI models with specific segments and fields, thereby maximizing their relevance and effectiveness. The screenshot below shows the Multi model check box.
Image: Multi Model Management in ISLM
Key Benefits and Value Proposition
* Note: the following is section is taken from the blog post Finance in SAP S/4HANA Cloud Public Edition 2402 by Ulrich Hauke where it is covered in greater depth.
Using the Review Booklet Designer, analytics key users can now create custom review booklets. They use this new functionality in the Manage KPIs and Reports app to copy the SAP-delivered review booklet (Group Financial Statements Review Booklet) and adapt it to your reporting needs. In this process, you connect the content of an analytical query with measures, structures, and dimensions and display the results on a business page of the review booklet.
Value Proposition
Review Booklet Designer
Capabilities
For more information, see: Review Booklet Designer, Creating a Review Booklet in the Review Booklet Designer
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In January 2024, we hosted a series of 19 compelling live sessions to highlight the exciting innovations shipped with the SAP S/4HANA Cloud Public Edition 2402 release. Missed the live sessions? No problem! Take advantage of the entire series or pick and choose the sessions most relevant to you on demand.
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