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Title & Speakers	Event
Event Navigating the Future of AI 2024-06-18
Navigating the Future of AI - Overcoming Multi-Tenancy and Compute Challenges in Large-Scale Architectures 2024-06-18 · 17:00 Jan Fokken – Kubernetes expert @ SAP In this talk, we will unveil the best practices for an AI platform, a refined product of our extensive experience in the dynamic AI ecosystem. We will explore the unique challenges posed by large-scale multi-tenancy and substantial compute requirements, discussing how we have successfully navigated these issues in the past and our strategies for overcoming them in the future. Join us to gain insights into the cutting-edge architectural solutions driving SAP's AI advancements. AI/ML SAP
Simplifying Enterprise AI: Harnessing the Power of the Generative AI Hub for SAP Ecosystem 2024-06-18 · 17:00 Mathis Boerner – Generative AI Development Expert @ SAP The Generative AI Hub serves as the Generative AI layer on top of the AI Core. As the field rapidly evolves, our goal is not only to keep pace, but also to filter and select the technologies that are most relevant to our users and businesses. But we are not just about making technology accessible. It is about lowering the barriers to using it, providing business AI functionalities and capabilities that simplify and shorten the path to an enterprise-ready application for the SAP ecosystem. In this presentation, I will give a brief overview of our offerings and demonstrate the potential of what can be built with them. AI/ML GenAI SAP

Event Beyond Boundaries: AI, GenAI, and LLMs Insights 2024-02-12
Stories from the Workbench of a Company Working on the Future of Business AI 2024-02-12 · 18:00 Mathis Boerner – Generative AI Development Expert @ SAP Abstract: Generative AI will open up many new opportunities to improve and evolve businesses and their processes. It will create new ways to interact with business applications, accelerate development, and accelerate the integration of smarter, more autonomous AI capabilities. To make this vision a reality, we have all embarked on an extensive learning journey. In this talk, I want to share some of our early learnings from infusing applications with LLM and give a glimpse of what we are working on. generative ai large language models (llms) ai in enterprise
Beyond Chatbots: Building Enterprise LLM-based Applications 2024-02-12 · 18:00 Salma Sohrabi-Jahromi – AI Scientist @ SAP Deep Learning Center of Excellence Abstract: In the rapidly evolving landscape of AI, Large Language Models (LLMs) have outgrown their initial niche of powering chat bots. Today, we can use generative AI not only in enriching human-machine interactions but also in integrating sophisticated capabilities into business applications. This presentation will explore the nuanced process of customising LLMs for enterprise use, highlighting the importance of prompt engineering, in-context learning (ICL), and equipping the models with a diverse toolkit to ensure their responses are tuned to the application needs and to enable building reliable and responsible generative AI applications. generative ai large language models (llms) prompt engineering in-context learning (icl)

Navigating the Future of AI - Overcoming Multi-Tenancy and Compute Challenges in Large-Scale Architectures 2024-06-18 · 17:00

Jan Fokken – Kubernetes expert @ SAP

In this talk, we will unveil the best practices for an AI platform, a refined product of our extensive experience in the dynamic AI ecosystem. We will explore the unique challenges posed by large-scale multi-tenancy and substantial compute requirements, discussing how we have successfully navigated these issues in the past and our strategies for overcoming them in the future. Join us to gain insights into the cutting-edge architectural solutions driving SAP's AI advancements.

AI/ML SAP

Simplifying Enterprise AI: Harnessing the Power of the Generative AI Hub for SAP Ecosystem 2024-06-18 · 17:00

Mathis Boerner – Generative AI Development Expert @ SAP

The Generative AI Hub serves as the Generative AI layer on top of the AI Core. As the field rapidly evolves, our goal is not only to keep pace, but also to filter and select the technologies that are most relevant to our users and businesses. But we are not just about making technology accessible. It is about lowering the barriers to using it, providing business AI functionalities and capabilities that simplify and shorten the path to an enterprise-ready application for the SAP ecosystem. In this presentation, I will give a brief overview of our offerings and demonstrate the potential of what can be built with them.

AI/ML GenAI SAP

Stories from the Workbench of a Company Working on the Future of Business AI 2024-02-12 · 18:00

Mathis Boerner – Generative AI Development Expert @ SAP

Abstract: Generative AI will open up many new opportunities to improve and evolve businesses and their processes. It will create new ways to interact with business applications, accelerate development, and accelerate the integration of smarter, more autonomous AI capabilities. To make this vision a reality, we have all embarked on an extensive learning journey. In this talk, I want to share some of our early learnings from infusing applications with LLM and give a glimpse of what we are working on.

generative ai large language models (llms) ai in enterprise

Beyond Chatbots: Building Enterprise LLM-based Applications 2024-02-12 · 18:00

Salma Sohrabi-Jahromi – AI Scientist @ SAP Deep Learning Center of Excellence

Abstract: In the rapidly evolving landscape of AI, Large Language Models (LLMs) have outgrown their initial niche of powering chat bots. Today, we can use generative AI not only in enriching human-machine interactions but also in integrating sophisticated capabilities into business applications. This presentation will explore the nuanced process of customising LLMs for enterprise use, highlighting the importance of prompt engineering, in-context learning (ICL), and equipping the models with a diverse toolkit to ensure their responses are tuned to the application needs and to enable building reliable and responsible generative AI applications.

generative ai large language models (llms) prompt engineering in-context learning (icl)

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