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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:

  • Introduction to SAP Business AI Approach
  • Generative AI at SAP
  • Introducing Joule in SAP S/4HANA Cloud Public Edition
  • Updates from Intelligent Scenario Lifecycle Management (ISLM)
  • Custom Configuration of Review Booklets with Review Booklet Designer

SAP Business AI Approach

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.Screenshot 2024-02-07 at 10.23.38.png

Figure: SAP Business AI Approach

Key components and functionalities of SAP Business AI include:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Generative AI at SAP

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.

Screenshot 2024-02-05 at 10.49.13.png

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.

Introducing Joule in SAP S/4HANA Cloud Public Edition

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.

Understanding Joule:

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.

Key Features and Capabilities:

Joule facilitates conversational interactions, enabling seamless communication between humans and computers. It supports three primary conversational patterns:

  1. Navigational: Helping users find the functionality they need within SAP systems.
  2. Transactional: Assisting users in efficiently completing tasks.
  3. Informational: Retrieving relevant information from existing documents.

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.

Screenshot 2024-02-08 at 11.25.59.png

Demo: Joule in SAP S/4HANA Cloud Public Edition (EAC)

Enterprise-Grade Integration:

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.

Business Benefits:

The benefits of Joule are manifold:

  • Faster Work: Streamline tasks with an AI assistant that understands your unique role and serves as your copilot across SAP applications.
  • Smarter Insights: Gain quick answers and intelligent insights on-demand, facilitating faster decision-making.
  • Better Outcomes: Access excellent content for job descriptions, coding assistance, and more with just a simple query.
  • Full Control: Retain full control over decision-making and data privacy while leveraging generative AI in a secure environment.

*Availability with Early Adopter Care Program (EAC)

Joule is available in the Early Adopter Care program and more information can be found on the influence platform.

  • Registration Start:* January 9, 2024
  • Release to Customer:* March 11, 2024
  • Registration End:* June 28, 2024

Intelligent Scenario Lifecycle Management (ISLM)

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.

Sales Order Auto Completion Use case

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

  • Efficiency: Say goodbye to manual data entry and time-consuming processes. Sales Order Auto Completion significantly reduces manual efforts, allowing users to complete sales orders in a fraction of the time.
  • Accuracy: With intelligent recommendations at their fingertips, users can rest assured that their sales orders are accurate and complete, minimizing errors and mitigating delays.
  • Integrated Data Management: Training the machine learning model is made easy with integrated data management handled via ISLM. This seamless integration ensures that users have access to the most relevant and up-to-date data for training purposes.

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.

Screenshot 2024-02-07 at 14.17.07.png

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 

Multi Model Management

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.

AI_MultiModel_2.png

Image: Multi Model Management in ISLM

Key Benefits and Value Proposition

  • Enhanced Flexibility: Gone are the days of one-size-fits-all model deployment. With Multi Model Management, organizations can activate different model versions based on values for primary segment fields and segment fields, ensuring that each model is finely tuned to its respective business context.
  • Visibility and Control: Gain insight into the activation context for each model, providing greater transparency and control over the model deployment process.

Custom Configuration of Review Booklets with Review Booklet Designer

* 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 Bookletand 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 

  • Create customer-specific reporting experiences and improve the adaptability of reporting content making use of a richer feature set.

syedtalalhussain_0-1707313677888.jpeg

Review Booklet Designer

Capabilities 

  • Use the analytical queries that are part of the standard review booklet
    • Define the content of business pages with rows, columns, and filters
    • Define variables and default values
    • Configure semantic styles and navigation targets

For more information, see: Review Booklet DesignerCreating a Review Booklet in the Review Booklet Designer

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Further Information and Links to Useful Resources

Watch the Replays of Our SAP S/4HANA Cloud Public Edition 2402 Early Release Series!

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.

Inside SAP S/4HANA Cloud

There is no customer success without project success and product success! Leverage the unique knowledge and expertise of SAP S/4HANA Cloud experts, partners, and customers, sharing their SAP S/4HANA Cloud implementation project best practices and lessons learned – anywhere, anytime. In this podcast, we give you all ingredients to get to the next level and make your SAP S/4HANA Cloud project a success. Subscribe now and benefit from the shared knowledge!

openSAP Microlearnings for SAP S/4HANA Cloud

Our openSAP microlearnings for SAP S/4HANA Cloud offer an exciting new learning opportunity. What began with a small batch of 20 videos, has now become a channel with more than 50 microlearnings that have generated over 20,000 views. Today, we cover multiple lines of business such as finance, manufacturing, and supply chain management, and key technology topics like Master Data Management, extensibility, SAP User Experience, and upgrade management. We are continuously adding new microlearnings to our channel, so make sure you check them out.

Your Voice Matters

You want to learn more and actively engage with SAP subject matter experts on SAP S/4HANA Cloud topics? We have just the right place for you! Join our interactive community where we bring together customers, partners, and SAP experts with a clear mission: To engage with one another about best practices and product solutions. We invite you to explore the ‘one-stop shop’ as the central place for all resources, tools, content questions, answers and to connect with experts who will guide you through your journey to the intelligent, sustainable enterprise.

Find All of Our Assets

SAP S/4HANA Cloud is the foundation of the intelligent, sustainable enterprise and is an innovative, robust, and scalable ERP. We at Cloud ERP Product Success and Cloud Co-Innovation offer a service as versatile as our product itself. Check out the numerous offerings our team has created for you below:

Where to Find More Information:

Follow us on @SAP and #S4HANA, and myself via X @stalalhussain and LinkedIn - Syed Talal Hussain