Google AI Platform is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech.
| Product | Market Share (%) |
|---|---|
| Google Cloud AI Platform | 3.6% |
| Hugging Face | 12.6% |
| Google Vertex AI | 11.1% |
| Other | 72.7% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 100 |
| Midsize Enterprise | 47 |
| Large Enterprise | 210 |
| Author info | Rating | Review Summary |
|---|---|---|
| Owner at Go knowledge | 4.0 | I use Google Cloud AI Platform primarily for Firebase due to its valuable databases and BigQuery integration. Although model management and cost transparency could improve, I find it more cost-effective than Oracle APEX, offering significant savings. |
| CTO at Intelli AI LLC | 4.5 | I find Google Cloud AI Platform valuable for its wide range of algorithms and integrated solutions that enable quick operational deployment. However, I believe further improvement could include adding more AI algorithms to enhance its current offerings. |
| Owner at Go knowledge | 3.5 | No summary available |
| Managing Director at sea-solutión | 4.0 | I use Google Cloud AI Platform primarily to extract text from images using the Google Vision API, which I find valuable. However, improvements in text extraction accuracy and adjustments to pricing would be beneficial for my needs. |
| Project Manager at Wipro Limited | 4.0 | I work in IT and we use Google Cloud AI Platform for its cost-effectiveness compared to Salesforce. However, customization is challenging and improvements are needed for easier database linking. It's more suited for larger organizations than Salesforce. |
| Student at Politechnika Gdańska | 3.5 | I utilized Google Cloud AI Platform to predict client satisfaction, finding its video and object classification features valuable. However, I encountered some errors and felt performance and pricing needed improvement. Previously, I used Vertex AI for similar projects. |
| Data Engineer at a educational organization with 201-500 employees | 4.0 | I appreciate Google Cloud AI Platform's handy interface and its integration with Vertex for pipeline creation. However, I find room for improvement in features like generative AI and direct module transfers between development and production environments. |
| Data Scientist at NeuStar | 4.5 | No summary available |
