AutoML

AutoML (Automated  Machine Learning) is automating the end-to-end process of using machine learning to solve real-world business challenges. It automates key tasks that traditionally take a long time such as: data processing, feature engineering, model selection, hyperparameter tuning, and model deployment, aiming to require minimal human effort. This approach makes machine learning more accessible to non-technical experts while speeding up and automating repetitive tasks for technical experts. At TAZI we accomplish this with several key capabilities such as Profiler, Composite Models, and Dynamic Business Dashboards.

Profiler

The TAZI Profiler within our AutoML framework stands as a cornerstone for transforming raw data into a machine learning-ready format. By automating the intricate processes of data quality assessment, validation, and enrichment, it empowers users to prepare datasets efficiently and effectively, setting a solid foundation for any machine learning project. Tailored for both technical and business users, the Profiler simplifies data preprocessing, enabling seamless integration of ML insights with business strategies. Its capabilities facilitate the rapid development of composite models and business dashboards, translating complex datasets into clear, actionable insights. Perfect for organizations seeking to leverage the full potential of AutoML, the TAZI Profiler is instrumental in accelerating the journey from data collection to strategic implementation, ensuring businesses stay ahead in the competitive landscape.

Feature analytics and relevance:

Data science recommendations to address class imbalance, to engineer new features. These are applied on-the-fly as the original data enters into the ML model:

Composite Models: Ensembles, Model Sequences

TAZI is at the forefront of revolutionizing how businesses leverage artificial intelligence, offering an unparalleled suite of composite models, ensembles, and model sequences. TAZI goes beyond employing a singular champion model in its AutoML process; it also excels at automatically identifying the most effective ensemble, ensuring the optimal blend of models for performance and accuracy. 

You can easily connect models to each other and deploy these models via TAZI’s MLOps capabilities. Our cutting-edge platform is designed to empower users by seamlessly integrating complex AI models, providing tailored solutions that drive efficiency, enhance decision-making, and unlock new opportunities for innovation. By harnessing the power of our advanced AI technologies, companies can navigate the complexities of today’s data-driven landscape with confidence and precision. Whether optimizing operations, forecasting trends, or personalizing customer experiences, TAZI delivers the tools necessary for businesses to stay ahead in a rapidly evolving digital world. Trust in TAZI to transform your data into actionable insights and achieve a competitive edge like never before.

Dynamic Business Dashboards

The TAZI Dashboard revolutionizes the way businesses interact with their machine learning models. It offers an intuitive, customizable interface that automatically generates dashboards for each model, making complex data understandable at a glance for domain users. Beyond mere visualization, it enables business users to tailor dashboards quickly to their specific needs, enhancing decision-making and operational efficiency. This feature is particularly valuable for maximizing business benefits, as it allows for the dynamic updating of dashboards to reflect real-time data insights and model outputs, ensuring that businesses can adapt swiftly to emerging trends and insights.

TAZI AI Benefits
See Results in 40 days
  • Easy to Use
    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
    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
    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
    Business-Focused
    TAZI is highly focused on business outcome and ROI of AI predictions.
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