Decisions at the speed of thought

Today’s rapidly shifting competitive businesses are failing to act on critical insights by relying on outdated data and analytics. To act on critical insights, before their competitors, they need a technology that can read, store and explore complex, diverse real time data in a self-service manner. Amper’s Streaming Data module deals with real-time processing and analyzing of events from multiple sources to rapidly identify significant patterns and complex event relationships to send real-time alerts for timely response to threats and opportunities.

Solution

  • The AI-powered Amper platform has a visual modelling environment that accelerates the design and deployment of streaming data applications.

  • The Streaming Data model in Amper monitors live streams of data to identify meaningful patterns, trends and co-relations for intelligent routing and process initiation.

  • Historic and live streams of data can be analyzed in real-time using Amper’s Lambda calculation model.

  • The Machine Learning capability combined with Streaming Data model performs predictive and prescriptive analysis on live streams of data.

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Uniquness

Uniqueness

  • Different models like data flow, event flow, Machine learning, Lambda in Amper can be collaborated to build a Streaming Data model.

  • Collaboration of Lambda model with Streaming Data model for real-time data analytics to predict key performance indicators (KPI).

  • Build an intelligent predictive business model that can learn from patterns and improve its KPI.

  • An intelligent model can be built in Amper to prescribe actionable insights by analyzing and processing data.

Amper Impact

  • Visual application development and one-click deployment environment.

  • Seamlessly integrate with external data sources and applications with the help of API’s.

  • Efficiently process, filter and manage data from various sources.

  • Real-time analysis of massive data resources to remediate at the right time.

  • When a significant pattern occurs, users are notified based on pre-defined business rules.

  • Streaming Data model can be re-used for IoT and real-time data streaming.

  • AI powered Streaming Data model is used for descriptive, predictive and prescriptive analysis of live streams of data.

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Customer stories