Updated README.md

Based on feedback from PM

README.md

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 # Exasol AI-Lab
 
-This project enables users to try out data science algorithms in Jupyter notebooks connected to the Exasol database.
+The Exasol AI-Lab is a pre-configured container designed to empower data scientists. It streamlines common data science and AI tasks, including data loading, preparation, exploration, model training, and deployment. Whether you’re a seasoned practitioner or just getting started, the AI-Lab provides a hassle-free experience.
+
+Key Features:
+* Jupyter Notebook Environment: The heart of the AI-Lab is a robust Jupyter Notebook environment. It’s where you’ll work on your data science projects.
+* Exasol Integration: Leverage Exasol’s power for your AI and machine learning use cases. The AI-Lab includes essential Exasol packages, extensions, and configuration tasks.
+* Example Notebooks: Jumpstart your work with ready-to-use example notebooks. Explore classic machine learning scenarios (think scikit-learn), seamlessly integrate Exasol with AWS Sagemaker, and tap into Huggingface models directly within Exasol.
+
+Feel free to explore the Exasol AI-Lab and unleash your data science potential!
 
 The AI-Lab is available in multiple [Editions](doc/user_guide/editions.md) involving different technology stacks, see also common [System Requirements](doc/user_guide/system-requirements.md).