Explore Aizen Foresight
We have the platform covered for you so you can focus on your data and insights
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Access an all-encompassing AI platform that covers every stage of the AI pipeline.
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Coordinate and oversee data seamlessly across all stages without disruptions.
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Embrace the potential of real-time operational data scenarios with our purpose-built platform.
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Utilize Kubernetes infrastructure for simplified management, enhanced scalability, and high availability.
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Ensure data lineage, governance, and security, effectively safeguarding data integrity and compliance.
Aizen Foresight Core Components
Deep Dive Into Aizen Foresight
Ingest & Analyze
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Seamlessly connect and ingest data from historical, incremental batch, and streaming sources like Kafka, CDC, sensors, clickstreams, and JDBC.
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Streamline data access with simple declarative scripts for efficient and quick data retrieval.
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Improve data quality and accuracy effortlessly by utilizing advanced data cleansing techniques, including normalization, type conversion, and missing value handling.
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Detect out of range values instantly and stay informed about outage time windows.
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Ensure data remains actionable at all times, empowering you to make informed decisions and uncover valuable insights.
Create Features
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Use transforms, aggregates and joins to generate actionable features from historical, incremental, and streaming data for optimized training and accurate predictions.
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Update features and windowed aggregations at the speed of data, leading to faster predictions.
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Benefit from enhanced feature relevance and precision by incorporating contextual information.
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Integrate AI effortlessly into your application by decoupling application logic from complexities of feature creation.
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Experience faster and more accurate predictions, empowering better decision-making.
Create Training Dataset
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Generate ready-to-use training datasets by seamlessly combining basis features from historical sources with contextual features from an offline store, enabling you to train models more efficiently.
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Perform efficient query processing, including time-travel and point-in-time joins, to seamlessly integrate contextual features and basis features into your training data, ensuring you have a comprehensive and accurate dataset for training.
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Empower your training process with flexibility, allowing you to experiment and combine any number of contextual features for optimal model development and performance.
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Benefit from the flexibility to incorporate diverse contextual features, which will enhance your model's performance and accuracy during training.
Train Model
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Save time and effort as the system automatically determines the best model and hyperparameters based on your created features.
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Experience faster and more efficient model training with intelligent data partitioning and streaming to CPUs or GPUs.
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Evaluate model performance easily with visualizations and metrics, making informed decisions to prevent overfitting or underfitting.
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Rest assured that your models will continuously improve as the system triggers retraining when validation results fall short, ensuring accuracy over time.
Serve Model
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Benefit from seamless deployment of machine learning models in production, empowering you with real-time predictions for faster decision-making.
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Experience the ease of AI integration into your application by receiving prediction responses from the platform using RestAPI, Kafka, files, and tables.
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Stay ahead with up-to-date features and windowed aggregations fetched from the online store, ensuring low latency predictions for immediate insights.
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Gain valuable insights through comprehensive logging of model serving results, enabling you to monitor and analyze performance effectively.
Monitor Model
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Gain access to real-time insights, helping you stay up-to-date with your model's performance.
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Detect data drift or target drift early on, ensuring the reliability and accuracy of your models over time.
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Receive timely notifications and alerts, so you can take immediate action if performance degradation or data drift occurs.
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Proactively manage your models, enabling you to maintain consistent and top-notch performance.
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Automate the monitoring process, saving you valuable time and resources for other critical tasks.
