Data Scientist Team
IT Team
BI/Analytics Team
Effortless Model Development with AutoML
TAZI.AI’s AutoML feature revolutionizes the way data scientists approach model development. Automating the time consuming aspects of machine learning that requires many decisions, such as data preprocessing, feature selection, handling class imbalance, algorithm selection and hyperparameter tuning, enables data scientists to focus on strategic aspects of model development. This not only speeds up the process but also makes advanced data science accessible to a broader range of users, including those with less technical expertise.
Seamless MLOps for Efficient Model Lifecycle Management
With its robust MLOps capabilities, TAZI.AI ensures that the transition from model development to deployment is seamless and efficient. This includes advanced model monitoring and management tools, facilitating continuous integration and delivery (CI/CD) of machine learning models. These MLOps features ensure that models are not only deployed rapidly but also maintained and scaled effectively in production environments, aligning closely with the operational needs of modern data-driven organizations.
Support for AI, GenAI and Analytics Composite Models and Ensembles
Ability to create and maintain solution pipelines consisting of AI or GenAI (local or remote LLMs are supported) and analytics. Model ensembles for improved accuracy and also continuous A/B testing of different approaches.
Prebuilt Use Case Specific Dashboards:
Efficiently share results with business users to make sure that everybody is at the same table in terms of how the models work, if they are creating enough value and how they should be deployed. This also allows debugging of models fast when data or business changes.
Flexible Coding in Python and R
TAZI.AI supports Python and R, allowing data scientists to develop in these familiar environments. Integrated Git functionality enables version control and collaborative development, ensuring project consistency and efficiency.
Optimized for Your Infrastructure
TAZI.AI’s architecture aligns with your infrastructure, supporting on-premises and cloud environments. It integrates smoothly with various storage and computation frameworks, enhancing performance and scalability.
Streamline Data Pipelines and Model Deployment
Simplify the building and operationalizing of data pipelines and ML models. TAZI.AI enhances the efficiency of these processes, crucial for rapid deployment and model management in production.
Unified AI Workflow from Design to Deployment
Cover the entire AI and ML workflow spectrum, ensuring consistency and efficiency. TAZI.AI includes features like automatic model logging and documentation, performance monitoring and retraining.
