SAS Visual Data Science Decisioning Verified Customer Reviews (2026)

Gemini platform is an enterprise artificial intelligence development and machine learning platform from Google Cloud that provides the tools and infrastructure required to build, customize, deploy, and govern AI models and autonomous agents. The platform represents the evolution of Vertex AI and combines generative AI development, predictive machine learning, agent orchestration, model training, and enterprise governance within a unified environment. Its Model Garden provides access to more than 200 foundation models, including Google's Gemini family, third-party language models, and open-source alternatives that can be evaluated, customized, and deployed for different applications. Agent Studio provides a low-code workspace for designing AI agents, experimenting with prompts, testing model behavior, and prototyping intelligent applications through visual development tools. The Agent Development Kit offers a model-agnostic framework for building sophisticated agents capable of reasoning, using external tools, coordinating specialized subagents, and executing multistep workflows. Google Antigravity extends the platform's agentic capabilities with a development environment for managing AI coding agents, generating application code, and coordinating automated software engineering tasks. Gemini platform also provides custom machine learning training with support for different frameworks, configurable training jobs, hyperparameter optimization, and deployment of trained models for online or batch predictions. Its MLOps capabilities include automated pipelines, model evaluation, Model Registry, Feature Store, and monitoring tools that help engineering teams manage the machine learning lifecycle and identify performance degradation.

BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.

Domo has been integrated into Progress Software, enhancing its AI and data platform offerings. This cloud-native AI data readiness solution not only improves but also broadens Progress' current data capabilities, creating important synergies that promote the development of innovative, secure, and scalable AI data readiness solutions worldwide. The merger of these strengths will aid clients in transforming disjointed enterprise data and insights into governed, AI-ready intelligence, thereby enhancing the security, governance, and cost-effectiveness of AI-centric projects. As the leading platform for intelligent enterprises, Domo empowers organizations to effectively connect, govern, activate, and share both data and AI resources. By collaborating with leading cloud data platforms such as Snowflake, BigQuery, and Databricks, Domo facilitates the transformation of governed data into a variety of AI agents, applications, workflows, dashboards, and analytics tools. Furthermore, its strong data foundation, activation, and distribution layers enable teams to develop and apply intelligence directly where their operations take place, all while maintaining rigorous governance, security, and access controls across both data and AI efforts. This holistic approach not only simplifies operations but also significantly boosts the efficiency and effectiveness of data-driven decision-making processes within organizations, ultimately leading to improved business outcomes.