If you're looking for a broad AI platform, Google AI is a great option. It offers a variety of tools for building, training, and integrating AI across different areas. With tools like PaLM 2, a large language model, and Google AI Studio, Firebase and Project IDX, developers can build complex AI-infused applications. The platform also includes a broad range of generative AI tools and a wealth of resources for responsible AI.
Another good option is C3 AI, which is geared for enterprise AI. It offers more than 40 pre-built enterprise AI applications in areas like manufacturing, financial services and defense. With tools for deep, low and no-code development, C3 AI can be integrated with industry-standard tools like Jupyter Notebook and Python. The platform is designed to speed up digital transformation with fast deployment and measurable results.
If you're looking for a more general-purpose AI platform, check out DataRobot AI Platform. It combines generative and predictive workflows for fast innovation and deep ecosystem integration. DataRobot offers enterprise monitoring and control, complete visibility and multiple cloud environments, making it a good option for teams that want to accelerate their AI work. The platform's strong governance and monitoring also means high security and safety.
Last, NVIDIA AI Platform is a full-stack option for turning an enterprise into an AI company. It includes accelerated infrastructure, enterprise software and AI models to speed the entire AI workflow. With tools for multi-node training and AI application deployment, NVIDIA's platform speeds up data science pipelines and makes it easier to build and deploy production-ready AI applications. Its generative AI tools and data analytics tools make it a good option for building AI into business operations.