Artificial intelligence data analytics features
Machine learning models
Create a predictive modelling knowledge base combining machine learning models with constantly evolving enterprise big data and big content to achieve optimal outcomes as internal and external business dynamics change.
Big data analytics
Ingest large volumes of an array of different data, such as structured, semi structured and unstructured, with the use of crawlers, connectors, streaming capabilities and more to gain insights.
Use Natural Language Processing and unstructured data analytics, such as text based data mining, to easily include unstructured data and facilitate advanced analytics solutions, such as sentiment analysis tools.
Enhance the speed and user experience of creating analytics dashboards and reports by dragging and dropping large amounts of data.
Data science notebook
Democratize artificial intelligence technology by enabling algorithm customization for data scientists and customized dashboards for business analysts and operational users.
Flexibility and scalability
Share predictive modelling results using Magellan’s self-service reporting and business intelligence dashboards.
What are the benefits of artificial intelligence data analytics?
Increase overall operational efficiency
Leverage Spark machine learning to unlock the value within Enterprise Information Management (EIM), structured, unstructured and IoT sensors data to understand and analyze customers, trading partners, employees, orders, invoices, cases, documents and other data that shape operations, improving efficiency through AI data-driven decision making.
Decrease the costs of disparate tools with limited processing power and benefit from an open source artificial intelligence software that caters to big data analytics.
Automate unnecessary tasks with an integrated AI analytics platform to reduce manual processing and augment enterprise data management, giving valuable time back to employees and making the overall enterprise more productive.
Accelerate time to value
Deliver artificial intelligence value faster and more cost-effectively by deploying a cohesive platform with pre-integrated components, minimizing the effort and expertise required to operationalize big data insights and opportunities.
Improve visibility and decision making
Empower business users to delve deep into massive amounts of data with self-service insights powered by advanced artificial intelligence.
Maintain continuous operational improvements
Rely on a trusted software leader with an unrivalled track record in EIM to digitally transform the enterprise with open source analytics tools.
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