OEM Partnership Model
Visionaries Quadrant AWS (various products) Pros: Breadth and depth of cloud platform; performance and scalability; data labeling and human-in-the-loop capabilities Cons: Lack of attention on citizen data scientists; a rapid rollout of products and maturity; maturity of on-prem, hybrid, and multi-cloud support DataRobot Enterprise AI Platform Pros: Sales strategy and execution; high-touch customer service; successful acquisitions. Cons: Complexity of product portfolio; resource-heavy onboarding; capability gaps. Google Cloud AI Platform Pros: Responsible AI vision and capabilities; research contributions; cohesion and simplification of consolidated products. Cons: Rapid pace of change; steep learning curve; lack of capabilities for on-prem, hybrid, and multi-cloud deployments. KNIME Analytics Platform Pros: Breadth and depth of DSML capabilities; commitment to open-source; visual workflow coherence. Cons: Limitations in enterprise deployments; responsible AI vis...