AI pre-configured computer

AI - Data Sciences Workstation - pre-configured computer

When shopping for computer that will fully support Artificial Intelligence (AI) applications, it is important to choose one that is compatible with how you want to use it. Customer support, pre-installed operating systems, pre-installed dependencies and configuration time are worth considering. Pre-configured systems are an attractive option for those who are less concern with the hardware components and the dependencies of the environment . They are ideal for those who are looking for convenience in the highly technical field of data sciences and artificial intelligence.

If you are looking to be up running as soon as possible with AI environment, the pre-configured computer is the way to go. We offer an integrated AI deployment solution. We standardize hardware and dependencies for a smooth deployment. This workstation will come fully loaded with cutting hedge AI algorithms. The system will run on a 64bit python environment and will support the AI - Data Sciences frameworks, which includes: pandas, jupyter notebook, TensorFlow, scikit-learn, Natural Language Toolkit, openCV-Python. Our solution offers a ready to use AI integrated computer solution. This solution is perfect for sciences and research integration and suitable for any financial institution that are looking to leverage up with AI and Data Sciences. In addition, we offer proprietary modular pipeline integration for specific usage. Our pipeline deployment is fully supported on the AI pre-configured computer.

Supported frameworks

• pandas: Fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language

• The Jupyter Notebook: Open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

• TensorFlow: End-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

• scikit-learn: Machine Learning in Python. Simple and efficient tools for predictive data analysis. Built on NumPy, SciPy, and matplotlib.

• Natural Language Toolkit: NLTK is a leading platform for building Python programs to work with human language data.

• OpenCV-Python: OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms.