everisMoriarty R3 will offer an enterprise platform for the development and deployment of Artificial Intelligence applications. This new version will add Python and Jupyter notebooks integration, and Deep Learning with GPU support. This will give data scientists a lot of flexibility in their workflows, and will empower them to build even more complex analytics applications.
everisMoriarty R3 will have a new User Interface that aims at speeding up the development of analytics workflows and improving the management of analytics projects.
everisMoriarty, developed by everis’ Cognitive Applications Development Centre and ITAINNOVA, is the CADC’s heart and soul. The CADC’s mission is to drive solutions using state-of-the-art technology that exploit data and knowledge, and create cognitive enterprises.
World-class speed for analytic development
everisMoriarty is a workbench for developing analytics taking advantage of analytic and cognitive components that can be connected with BPML flows.
Easiest way to consume Artificial Intelligence
everisMoriarty generates standard Java with embedded analytic and cognitive processing. It runs with on-premise or cloud infrastructures and can be used with any platform or application.
Best-of-breed Open-Source technologies and analytics
everisMoriarty runs software analytics on emerging Big Data technologies like Spark, Flink and Storm. Analytical models designed with common tools such as R, Python, and many others can be easily integrated.
Outstanding cost efficiency
More than 40% cost reduction developing and deploying software analytics by reusing analytical and cognitive services on a continuous integration cycle.
Digital Media Insights
Generate competitive intelligence using any existing content on the Internet, Digital Media or Social Networks
Smart Semantic Search
Enrich your traditional search with the semantic and syntactic understanding of documents, texts, audio and video
Adaptive Recommendation Engine
Use Artificial Intelligence to drastically increase cross- and up-selling with adaptive seasonal algorithms and case management technology
Advanced Customer Profiling
Monetise knowledge about customers with advanced user profiling strategies and automatic ontology-based personalised customer profile learning
Use inductive techniques to extract knowledge and entity relations from text
Understand large scale human behaviorREAD MORE
Global reputational analysisREAD MORE
Market competence surveillance Data
Enterprise digitizationREAD MORE
Creating a data driven company
Shorten customer analysis cycleREAD MORE
Increase customer value
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