Artificial Intelligence and Machine Blogs| SAP Community

Benchmarking Generative AI for Drug Safety Using SAP AI Launchpad - Part 1 of 3

Key Highlights:SAP AI Launchpad Q3/2025 is a zero-code platform that empowers business users to efficiently leverage large language models (large language models).The platform’s robust Evaluation feat...

Benchmarking Generative AI for Drug Safety Using SAP AI Launchpad - Part 3 of 3

PART 3 - Results, Insights, and Lessons from Benchmarking AI for Drug SafetyKey Highlights:Evaluation results and model comparisonsDeep analysis with SQLiteComponent-level performance: Drug, Dose, Adv...

Benchmarking Generative AI for Drug Safety Using SAP AI Launchpad - Part 2 of 3

PART 2 - Building and Evaluating AI for Pharmacovigilance—No Code RequiredKey Highlights:Dataset: ADE Corpus and preprocessingPrompt engineering and model configurationEvaluation metrics: Precision, R...

The Production Reality: Why Cosine Similarity Often Wins Anyway [Part 3/3]

In the final part of my series, we leave theory behind and face production reality. While normalizing L2 Distance is mathematically possible, it's often fragile and complex in live systems.The reason?...

How to Actually Interpret L2 Distance Results [Part 2/3]

Cosine Similarity has a clean, intuitive range from -1 to +1. But L2 Distance? It goes from 0 to infinity—so how do you actually interpret it?In Part 2 of my series on similarity metrics for RAG syste...

Why Cosine Similarity > L2 Distance for RAG Systems (usually) [Part 1/3]

Similarity isn’t one-size-fits-all.In RAG systems, choosing between Cosine Similarity and L2 Distance affects what gets retrieved—and whether it's actually relevant.This post breaks down the differenc...

7 Groundbreaking AI Announcements at SAP Sapphire 2025 You Shouldn’t Miss

From omnipresent AI copilots to enterprise-wide intelligent agents, SAP unveiled 7 groundbreaking AI announcements that signal a bold new era for business automation and innovation. In this article, w...

How to Integrate AI Models into SAP BTP with Python and TensorFlow

Build and deploy custom machine learning models into the SAP Business Technology Platform (BTP)

Leveraging Linear Regression in SAP AI: Predicting Business Outcomes with Data Science

As businesses move toward intelligent enterprise solutions , the combination of AI, Data Science, and SAP is unlocking new opportunities for predictive analytics. Linear regression , a fundamental...

🚀 Steps to Perform Benchmarking Evaluation Using Generative AI Hub on BTP

Here’s a concise walkthrough for setting up and running a benchmarking evaluation using the Generative AI Hub service in SAP BTP:1. Assign Role Collection for Generative AI Hub AccessTo access the eva...

How to Integrate AI Models into SAP BTP with Python and TensorFlow

As AI becomes increasingly central to business operations, SAP has opened the doors for developers to bring custom machine learning models into the SAP ecosystem via the SAP Business Technology Platfo...

Building Ethical AI in SAP: Tackling Bias and Ensuring Compliance

As artificial intelligence (AI) becomes more deeply integrated into enterprise platforms like SAP, organizations face a critical imperative: building AI systems that are not only powerful and efficien...

Linux AI Agent: Automating SAP HANA Installation

I'm a creator of agents that work with SAP systems, and I feel confident saying that after successfully building my second functioning AI agent. This latest one handles operating system tasks, and in ...

Beyond the Black Box: The Illusion of Control

An LLM is just a stochastic machine for predicting the next word - I have heard this statement so many times, and each time I wondered how unaware the people who say it are. It has always been clear t...

Boosting Customer Experience with AI-Driven Insights in SAP C/4HANA

In today’s experience-driven economy, customer expectations are higher than ever. Personalization, immediacy, and seamless engagement across channels are no longer luxuries—they're essential. Business...