Why boost your SAP with AI and datascience?
Answer: To solve business problems
- Optimization: improving logistics flows and inventory management
- Data quality: Business partners, addresses, master data
- Better risk management: credit, technical debt,
- Detect anomalies
- Analyze behaviors
- Improve your developments
- Perform heavy and complex calculations in ABAP
Introduction
SAP represents a particularly captivating environment for the implementation of cutting-edge technologies, offering significant added value while remaining pragmatic. By mastering connection methods and giving SAP developers the means to integrate artificial intelligence, data science and parallel computing into ABAP, Nexai provides its customers with the most sophisticated technologies, without superfluity. The focus is not on the technology itself, but on solving business-specific problems.
We integrate the following technologies:
- In the cloud: IBM Watson, IBM WatsonX, OpenAI, Google, Microsoft
- On your machines: Tensorflow, Scikit-learn, Democrite
- Big data: MongoDB, ElasticSearch
- Graphbase: Neo4J
- Computation: Cuda
- Our programming languages: ABAP, C#, Python, C++
How we implement AI projects for SAP ?
- Explain! We go beyond myths and bullshit to explain what you can and can't really do with AI.
- We carry out co-design exercises with users, functional staff and technical teams.
- We carry out an assessment of possible projects, classified by ROI, complexity and risk.
- We create prototypes and projects WITH YOUR TEAMS.
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