The Support Accreditation course offered by SAP plays a vital role in educating partners, customers, and internal employees about SAP’s support services. In this interview, Simone Engelhard, SVP and head of Customer Engagement Support for Customer Services & Delivery at SAP, discusses the importance of support channels, the 24/7 support structure, service continuity, and best practices for interacting effectively with SAP support teams.

Feedback from participants highlights the training’s success in improving the understanding and utilization of support services. Ongoing updates help ensure the course remains relevant amidst evolving technology and business landscapes, with future developments likely to incorporate advancements in artificial intelligence (AI) and machine learning tools for support services.

Q: Can you provide an overview of the Support Accreditation training and its significance for anyone engaging with SAP’s support processes?

Engelhard: The Support Accreditation is a vital learning tool for our partners and customers as well as for our employees. It’s an informative course that can familiarize participants with SAP support services and help maximize their support experience. This is a unique opportunity to understand all the tools and resources available when interacting with SAP support and to learn efficient ways of engaging with our teams and resolving issues.

In situations of urgency or escalation, customers might try to contact someone at SAP they personally know rather than follow the regular process. How does Support Accreditation address such situations and educate participants on the importance of following the proper channels?

That’s a great point. In urgent or escalated situations, individuals might feel tempted to bypass the usual channels and seek immediate remedies. However, these uninformed measures can result in delays. The Support Accreditation course emphasizes following the correct SAP support processes, which can ensure their issues are routed to the appropriately skilled support teams, leading to more efficient problem resolution.

Can you shed light on how the Support Accreditation training details the importance of our 24/7 support structure and how customers and partners can take advantage of it?

The course thoroughly details our 24/7 support structure. We work to ensure that participants understand how, no matter their time zone, they can harness this around-the-clock support. It’s about making sure that our customers and partners know that they always have the backing of SAP, no matter when an issue arises.

How can customers and partners ensure that their issues are addressed efficiently even when their primary contacts at SAP are out of office?

We indeed cover this crucial aspect. The training delves into detail about the Customer Support organization, which aims to ensure service continuity even if specific account contacts at SAP are unavailable. Our course participants are made aware of the various support structures in place to assist them.

The Support Accreditation training also covers the etiquette and best practices for interacting with SAP support. Can you talk more about this and why it’s important?

Interacting with support teams forms a large part of managing SAP services, so etiquette and best practices in this area are covered in our course. We guide learners on the most effective ways to communicate with our teams, provide necessary information, and follow prescribed processes for optimal support assistance.

Do you have any insights related to the feedback from Support Accreditation participants? How has the course improved their understanding and utilization of our support services?

Feedback from Support Accreditation participants has been overwhelmingly positive. Our learners report significantly improved knowledge about SAP support services and tools, and they’ve been successful in applying this knowledge to engage more effectively with SAP support. This has resulted in smoother, quicker issue resolutions, translating to improved satisfaction and service experiences.

With technology and business requirements evolving, how will the Support Accreditation course adapt to these changes? What future developments can participants expect?

The course isn’t static; it evolves with the technology landscape and business requirements. We continually update it to include new tools, offerings, or changes to existing processes. This helps ensure that the Support Accreditation training remains up-to-date and continues to be a valuable resource for our customers and partners. Future developments will certainly involve advancements in AI and machine learning tools in support services, so participants can be well prepared for the future of support services.

The new SAP HANA Cloud vector engine enables businesses to combine the power of large language models (LLMs) with company-specific, real-time data and business process know-how, all integrated in one multi-model database: SAP HANA Cloud. With the latest quarterly release, the vector engine is now generally available.

SAP HANA Cloud is a market-leading database-as-a-service enabling intelligent data applications and is one of the most adopted services within SAP Business Technology Platform (SAP BTP) internally at SAP. As of today, more than 180 different applications and services use SAP HANA Cloud with its multi-model capabilities.

Now, SAP HANA Cloud is also a leader in the generative AI age.

At SAP, we work with various LLMs such as GPT-4, Llama2, Falcon-40b, and Claude2. While these models offer amazing opportunities, they also have limitations. For example, LLMs may rely on outdated training data and lack company-specific data and business process context.

As an example, imagine having an LLM as a colleague. This colleague would be very intelligent, able to program, pass exams, or have arguments – but this colleague would not know anything about what happened in the world in the past year, nor have any idea about internal processes of your company or any of your systems. Even worse, after every conversation you have, this colleague would forget what you just talked about. Working with such a lack of memory would be of limited value. This shortcoming is why an LLM cannot answer easy questions like “What do you think about the offer from our most important supplier last week?” An LLM can only work with the initial training data – all other data must be provided as context.

Supplementing this lack of information is where SAP HANA Cloud vector engine can assist. The engine can provide LLMs with all the relevant data of an organization through a process called “retrieval-augmented generation.”

A Game-Changing Feature

So how does the vector engine work? It is a new addition to SAP HANA Cloud’s multi-model engines, enabling customers to utilize the similarity between two or more vectors to solve business problems. With the integration of AI-focused technology, SAP HANA Cloud can now empower businesses to combine intuition along with data-driven insights to solve even the most complex of problems.

Some key benefits and features of the vector engine include:

• Multi-model: Users can unify all types of data into a single database to build innovative applications using an efficient data architecture and in-memory performance. By adding vector storage and processing to the same database already storing relational, graph, spatial, and even JSON data, application developers can create next-generation solutions that interact more naturally with the user.
• Enhanced search and analysis: Businesses can now apply semantic and similarity search to business processes using documents like contracts, design specifications, and even service call notes.
• Personalized recommendations: Users can benefit from an improved overall experience with more accurate and personalized suggestions.
• Optimized large language models: The output of LLMs is augmented with more effective and contextual data.

The Database Foundation of SAP’s Generative AI Strategy

The addition of the vector engine establishes SAP HANA Cloud as the default database in SAP’s generative AI solution strategy. Customers can create the next level of user experiences along with other services within SAP BTP. As an example, SAP BTP can provide centralized access to SaaS-based LLMs from multiple vendors as well as host LLMs from open-source models or third parties. The generative AI hub in SAP AI Core, a capability that facilitates the use of generative AI capabilities, will soon rely on SAP HANA Cloud as the primary vector storage. One function of the generative AI hub feature is to help provide a process for creating embeddings and storing the resulting vectors in SAP HANA Cloud. Customers building intelligent data applications can use both services together to augment LLM queries with relevant context for meaningful answers.

SAP is working on foundation models that are specific for SAP-related industry and process knowledge.

The Database for Innovation

SAP HANA Cloud continues to lead the market by storing and processing different types of relevant business data – all within the same database. The new vector engine, combined with other multi-model capabilities, opens a world of possibilities for applications to help enhance the execution of business processes. Whether improving search capabilities, gaining deeper insights for informed decisions, or optimizing LLMs, SAP HANA Cloud enables the type of applications that can elevate the expertise and effectiveness of every user.

To learn more, sign up for an introductory webinar on April 4. Do you already have a use case for SAP HANA Cloud vector engine in mind? If so, consider registering for the SAP Early Adopter Care program.

Juergen Mueller is CTO and member of the Executive Board of SAP SE, Technology & Innovation.
Stefan Baeuerle is head of Database, SAP HANA Database, & Analytics for Technology & Innovation at SAP.