- No code usability: business users can build and manage solutions without programming knowledge, reducing dependence on IT teams and accelerating project deliverty. - Explainable AI modeling: the transparency of the model helps stakeholders understand the reasoning behind recommendations and decisions, improving trust and governance. - Data quality management: the platform effectively aggregates, transform, and enriches data from multiple sources, helping to improve data quality and decision accuracy
June 12, 2026
- Tech architecture introduces some challenges in deployment (on-premise and cloud) - Limited support for headless integration, reducing flexibility in some use cases - Cloud-agnostic approach reduces the possibility of leveraging cloud-native features of hyperscalers - Connectors towards cloud data science ecosystems and sources could be more extensive and mature
March 20, 2026