Overview
The right insights give enterprises an advantage when it comes to addressing real problems and outperforming their peers. From equipment failure predictions, proactive health care, warranty profitability and asset health monitoring dashboard to personalized infotainment, employee retention strategy and quality early warning systems, every industry is looking to turn their data into real-time, actionable insights using the least amount of time, resources and coding efforts.
Applying machine learning (ML) to real-world problems, AI-based models are helping enterprises derive insights from their many management systems and processes. Our trusted AI lifecycle management platform, AION,helps enterprises go from raw dataset ingestion to a deployable ML model using a low-code/no-code approach. Leveraging 54 state-of-the-art algorithms, AION helps organizations reduce effort by 30-40% in ML model development.
How Does AION Work?
Data in varied formats and from multiple sources is ingested and processed using data and feature engineering. AION then applies machine learning as code (MLaC) to develop ML models and automate low-end work. Next, it provides model monitoring and drift analysis for input/output data and model predictions. Having taken the data through these various stages, AION can successfully deliver insights that lead to significant business benefits.
AION can generate platform-agnostic code that can be used on Docker, REST API, Python Package and Edge.
Not just expert data scientists but citizen data scientists and business users as well—thanks to AION’s low-code/no-code proposition.
- Exploratory data analytics
- Data ingestion
- Machine learning as code
- Model verification and validation
- Model conversion
- Prediction explainability
- Model observability
- Inference services
- Model publishing
- Machine learning model training
- Feature selection
- Feature transformation
Overcoming Industry Challenges with AION
The development of ML models is time consuming and requires a specialized skill set.
AION empowers people in organizations – whether technical (working in code) or business (low code/no code) – to create ML models.
Data needed for building ML models is not centralized and is present in varied data formats and platforms.
AION helps data scientists:
- Enable integration with varied enterprise data sources.
- Handle data cleansing and issues related to data quality and data outliers
- Handle multiple data types and unstructured data
Data scientists do not have deep domain understanding and domain experts do not understand ML.
AION helps citizen data scientists:
- Develop ML models
- Reduce repetitive work in developing models
- Save effort by automating low-end work
The ML model and data might drift with time, resulting in incorrect insights and predictions.
AION counters this challenge by providing model monitoring support and drift analysis for input/output data and model predictions.
ML models are a black box and give no explanation on predictions.
AION provides detailed explanations on reasons for prediction, giving domain users more confidence in the model.
The code generated by the AI lifecycle management platform is not reusable across platforms.
AION generates platform-agnostic Python code and containers that can be consumed outside AION as well.
AION Benefits
- All
- Increase productivity
- Cost Saving
- Democratize ML models
- Reduce repetitive work
- Efficiency
All
Increase productivity
Democratizes machine learning tools, provides a good starting point to build upon and enables data scientists to focus on model optimizations
Reduce cost
Enables faster, more efficient machine learning process, economizes budget to maintain enterprise processes and accelerates model deployment and integration with applications for app developers
Democratize ML models
Provides easy access to the best of machine learning and deep learning technology for business users and enables rapid development of predictive models
Reduce repetitive work
Automates manual and repetitive machine learning tasks and allows subject matter experts to focus on missing domain data to improve model performance
Efficiency
Speeds up and simplifies the machine learning process and reduces training time of machine learning models
Increase productivity
Increase productivity
Democratizes machine learning tools, provides a good starting point to build upon and enables data scientists to focus on model optimizations
Cost Saving
Reduce cost
Enables faster, more efficient machine learning process, economizes budget to maintain enterprise processes and accelerates model deployment and integration with applications for app developers
Democratize ML models
Democratize ML models
Provides easy access to the best of machine learning and deep learning technology for business users and enables rapid development of predictive models
Reduce repetitive work
Reduce repetitive work
Automates manual and repetitive machine learning tasks and allows subject matter experts to focus on missing domain data to improve model performance
Efficiency
Efficiency
Speeds up and simplifies the machine learning process and reduces training time of machine learning models
Features that Set AION Apart from the Competition
Intelligent ML model monitoring and automated rebuild and deployment of models based on feature or performance drift
Single-click deployment and execution of AI/ML pipeline in production on Kubeflow (Kubernetes) environment
Automated Python code generation for data analytics pipeline components for avoiding vendor lock-in and aiding expert data scientists with readily usable code for further customization (Machine Learning as Code)
Privacy complaint model predictions (Homomorphic Encryption) and secure collaborated learning (Federated ML)
Easy integration with any digital platform as an add-on to provide dynamic AI/ML capabilities
Supercharging business
outcomes
With AION, you get the confidence and expertise to empower and elevate people in the organization – whether technical (working in code) or business (low-code/no-code) – to make better and faster decisions with data.
Go to market quickly
Derive business insights to help identify problem areas and grow faster
Seamlessly integrate with the respective digital platform
Resources
Artificial neural network, Neural Architecture Search (NAS) and its applications - Part-1
Learn more Artificial neural network, Neural Architecture Search (NAS) and its applications - Part-1
An approach to Edge Analytics through ONNX
5G new radio and service performance measurement
Supercharge insights for your enterprise’s progress with AION
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