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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.

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.

See Results in 40 days

Easy to Use

TAZI can be used by business users who don’t have data science training, such as business analyst or a C-level executive.

Time to value

TAZI provides explanations to business users on data, models and results, business users can take actions or update data or models based on what they see.

Adaptive

TAZI models can learn in while they are in production, they adapt to changes in data and reducing errors, IT&data science MLOps efforts and cloud computing costs.

Business-Focused

TAZI is highly focused on business outcome and ROI of AI predictions.

Take the next step with TAZI

30 minutes: What it is, How it works, and How to get started.
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