03 04 IBM WATSON STUDIO

Watson Studio – IBM’s software platform for data science – is designed for data scientists, developers and analysts. It comprises a workspace of collaboration and open-source frameworks (including PyTorch, TensorFlow and scikit-learn).

The platform allows users to build, develop, manage and scale AI through an open multicloud architecture. Watson Studio users have the option to work with Jupyter notebooks, JupyterLab and CLIs, or use a variety of languages, such as Python, R and Scala.

Azure AI comprises a portfolio of sophisticated and specialised AI services, designed for developers and data scientists to evolve specific business scenarios.

Microsoft offers a range of vision, speech, language, and decisionmaking AI models through simple API calls, alongside the required tools for users to build their own ML models with tools such as Jupyter Notebooks and Visual Studio Code.

Its customer base includes some of the world’s most well-known businesses, such as the NBA, Nestle and the NHS.

Machine learning on Google Cloud

Google Cloud Ai

With the internet giant’s full wealth of knowledge at its disposal, Google Cloud's AI tools are indisputably among the leaders in the market.

The services available through the platform include data science –replete with a suite of data management, analytics and ML tools – AI infrastructure with deep learning and ML models, and industry-leading value-based, responsible AI.

Google also offers a wealth of educational resources for users of its AI platform. Everything from the highly influential ‘AI for Social Good Guide’ to information and exercises shared by Google’s own ML experts are available to help support businesses.