OpenText Magellan, the company’s new Artificial Intelligence (AI) platform, combines open source machine learning with advanced analysis and the capabilities to acquire, merge, manage and analyse Big Data and Big Content.

Unveiled and demonstrated at OpenText Enterprise World 2017, Magellan’s cognitive computing platform offers users machine-assisted decision making, automation, and business optimisation, in an easy to use and affordable package.

OpenText Magellan is built on a cohesive, highly scalable infrastructure equipped for handling massive amounts of structured and unstructured data. Powered by OpenText Analytics, and Apache Spark, OpenText Magellan integrates across any EIM architecture to dramatically reduce the time, effort and expertise required to leverage the value of advanced analytics in decision making and task automation.

“Enterprises have created vast data lakes of information over the last decade, and OpenText Magellan helps to organise that information and unlock its value,” said Mark J. Barrenechea, OpenText CEO and CTO. 

“As automation advances at incredible rates, and enterprise data grows larger, OpenText Magellan brings the power of analytics, algorithms and statistical models to organisations around the world for advanced decision making and better business insight. With OpenText Magellan, we are moving towards a more open, scalable and affordable future for AI. OpenText is committed to ensuring AI is designed into its offerings from day one.”

The solution is designed for multiple scenarios:

• Leverage Machine Learning to unlock the value of EIM data by analysing customers, trading partners, employees, orders, invoices, cases, documents and other data managed in these systems.
• Deliver value from AI faster and cost-effectively by deploying a cohesive platform with pre-integrated components to minimise the effort and expertise required to go live.
• Democratise access to AI by empowering data scientists to create custom algorithms for use by business analysts and operational users.
• Utilise an open-source, Apache Spark-based platform to automatically derive the most current and complete insights from Big Data and EIM Content to achieve optimal outcomes.
• Augment applications automatically with fast, self-service analytics, empowering business users to delve deep into massive amounts of data and derive actionable insight.