Google Vertex AI Reviews

Google Vertex AI offers various valuable features such as Feature Store for centralized feature management, monitoring for model performance, integration with the Google ecosystem, and flexible deployment options. Users praise its ease of use, low-code capabilities, integration with CRM systems, and support for multiple libraries to reduce coding needs. It provides valuable external analytics, model registry, AutoML features, and seamless GCP data storage integration. Its multi-model capabilities and Gemini advancements enhance speed and performance.

• "With just one single platform, Google Vertex AI platform, we can achieve everything; we need not switch over to multiple tools, multiple platforms, as everything can be accomplished through this one single platform for integration with existing workflows, systems, tools, and databases."
• "The support is perfect and fantastic."
• "Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."

Google Vertex AI requires improvements in processing time, user interface, and feature inclusion like image generators and text-to-speech. Users find the platform challenging due to technical complexity and insufficient documentation. There is feedback for a more integrated experience through BigQuery UI and enhanced model efficiency. Improved customer support and a streamlined knowledge base are needed. Although it ranks highly, further development and additional functionalities are needed for a more user-friendly and mature offering.

• "We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
• "It takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced."
• "It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."