Cloud AI & Machine Learning Deliver Better Data Pipelines to Increase
Your AI and ML are only as good as the data you feed it. Give your data science and analytics teams the ability to use more data, improve precision, and provide governance and auditability to ensure you meet the growing regulations.
Key Capabilities
Datameer provides a rich array of capabilities to create and operationalize data pipelines that feed more and better data to your AI/ML processes and ensure you keep processes secure and well-governed.
Automated Data Preparation for ML
Spectrum’s integration with many data sources and spreadsheet-style interface with over 300 powerful functions, including automated functions to create features for ML engines, makes it easy to create AI/ML data pipelines.
Deep Governance, Security and Auditability
Spectrum has industry-leading governance and security features, including full data lineage, usage auditing, and integration with external governance tools to ensure your AI/ML pipelines are well-governed.
Rich Visual and Analytical Data Exploration
Spectrum’s integrated data exploration at-scale capabilities help on the front-end and back-end of your data science workflow – understanding what parts of the data are best for your problem, and examining your models’ performance.
Key Outcomes
Faster AI/ML Analytical Cycles
Not only does data preparation become faster and easier, but the ability to explore data upfront and integration with downstream data science tools creates a virtuous, agile AL/ML analytical cycle.
Increased Accuracy and Usefulness of AI/ML
Feeding greater amounts and more useful data into your AI/ML models will increase the process’s precision and make your AI/ML more valuable to the business teams.
Meet Growing AI/ML Regulatory Requirements
With regulatory controls around AI/ML growing each year, you will be ahead of the curve to ensure you can consistently stay in compliance and eliminate potential fines.
