AWS, Microsoft, Google Top Cloud AI Developer Market: Gartner
CRN breaks down the strengths and weaknesses from the 13 vendors that made Gartner’s new 2022 Magic Quadrant for Cloud AI Developer Services.
The search and cloud computing giant offers language, vision and autoML services via Vertex AI on the Google Cloud Platform (GCP).
Google’s services focus on deep neural network models. The Mountain View, Calif.-based company also offers Contact Center AI and Document AI, along with pretrained ML models that developers can customize. Google is a leader in AI research and responsible AI, with more than 3,500 researchers having produced over 6,000 research papers.
Google ranks No. 2 for vision and No. 3 for execution in Gartner’s 2022 Magic Quadrant for Cloud AI Developer Services.
Strength: Google has well-defined ethics processes and can quickly address concerns about AI on a case-by-case basis. It has model cards that explain the essential elements of an ML model, and fairness indicators that automatically assess bias in datasets and models.
Weakness: Google does not fully support deployment of AI services in private clouds or on-premises. Google’s development efforts focus almost exclusively on neural networks, with little attention paid to symbolic AI.