AI Glossary for Businesses

Glossary

Key terms in digitalization, AI, SAP and ERP, explained concisely and practically.

ACDOCA (Universal Journal)

ACDOCA is the central posting table in SAP S/4HANA. The Universal Journal brings finance and controlling data together.

Central Finance (cFIN)

Central Finance consolidates financial data from multiple SAP systems in real time. A path to S/4HANA without a big-bang migration.

Chatbot

Chatbots automate customer communication, from rule-based scripts to GPT-powered dialogues. Types, costs, and enterprise use.

Computer Vision

Computer vision recognizes and processes visual information. Common applications include quality control, OCR and visual inspection.

Fine-Tuning

Fine-tuning adapts pre-trained AI models to your domain. When it pays off, what it costs, and when RAG is the better choice.

Generative AI

Generative AI creates text, images, code and video. This entry explains how it works, where it is useful and its operational limits.

AI Agent

AI agents act autonomously: analyze, decide, execute. The difference from chatbots and what it means for enterprises.

AI Consulting

AI consulting guides businesses from strategy to deployment. What it costs, what it delivers, and how to choose the right partner.

AI Implementation

AI implementation moves models into production. Data, integration, ownership and ongoing operations determine whether it works.

AI Strategy

An AI strategy defines where AI creates the most value and how to prepare your organization. A practical framework for decision-makers.

Artificial Intelligence (AI)

Artificial intelligence covers systems that learn, recognize patterns and support decisions. Definition, methods and business applications.

Large Language Model (LLM)

Large language models like GPT and Claude process language with billions of parameters. How they work and where their limits are.

Machine Learning

Machine learning finds patterns in data without explicit programming. Three types, one goal: better predictions for your business.

Model Context Protocol (MCP)

MCP connects AI models with enterprise systems via an open standard. Developed by Anthropic, adopted by OpenAI and Google.

Natural Language Processing (NLP)

NLP makes language machine-readable for chatbots, text analysis, and translation. The foundation of modern enterprise AI applications.

Prompt Engineering

Prompt engineering guides AI output through clear instructions, context and examples. Methods for more reliable results at work.

RAG (Retrieval-Augmented Generation)

RAG connects language models with company data to produce traceable answers based on approved knowledge sources.

RISE with SAP

RISE with SAP bundles cloud ERP, BTP, and managed services in one contract. What this means for your S/4HANA journey.

SAP Asset Accounting (FI-AA)

SAP FI-AA manages fixed assets from acquisition to depreciation. In S/4HANA, asset accounting merges into the ACDOCA table.

SAP Business Partner

SAP Business Partner combines customer and supplier master data in S/4HANA. What to consider when preparing the conversion.

SAP CO-PA (Profitability Analysis)

SAP CO-PA analyzes profitability by market segments. In S/4HANA, account-based and costing-based CO-PA merge into one model.

SAP Cost Center Accounting

SAP Cost Center Accounting allocates overhead costs by cause. In S/4HANA, all postings flow directly into the Universal Journal.

SAP FICO

SAP FICO connects Financial Accounting and Controlling in the ERP. In S/4HANA, FI and CO converge through the Universal Journal.

SAP General Ledger (New GL)

The SAP General Ledger is the core of financial accounting. In S/4HANA, the New GL becomes the sole posting journal via ACDOCA.

SAP S/4HANA

SAP S/4HANA is the ERP suite built on the HANA database. Learn the architecture, differences from ECC and migration options.