Organizations are grappling with a deluge of raw data, and analysts estimate that 80% of it is unstructured, file-based and cannot be analyzed with traditional relational database tools. This data might seem unwieldy – but with the right analytics, it has the potential to increase productivity, improve decision-making and positively disrupt businesses.
The Unisys Analytics Platform (UAP) is an out-of-the-box service that pairs a cloud platform with custom analytics developed by Unisys data scientists. This approach integrates best-of-breed analytics with unstructured data at a low-cost entry point, so clients pay only for what they actually need, not what they might need.
Our Distinct Approach
Analytics On Premise or As a Service
We deliver agile solutions for cloud or on premise. Our Analytics As a Service offering provides predictive insights in days versus weeks; lowers internal costs; and offers external network and data management. Our on-premise solution runs on your existing network, keeping data in-house and under your control.
Data Scientists On Demand
Unisys provides more than 300 data scientists with on-demand global expertise in data aggregation, analysis and machine learning; designing predictive analytics models; building data lakes; and advising clients on making the best use of enterprise data.
A Library of Predictive Analytics Models
Unisys offers a broad library of pre-defined predictive models that are tested and ready for quick deployment. These products are industry-focused, designed to address use cases in each of our vertical markets.
Artificial Intelligence Center of Excellence
Unisys provides a platform that gives registrants access to free tools, methodologies and best practices in areas of artificial intelligence such as:
- Machine learning, where users have access to subject matter experts and machine learning algorithms to help them build predictive models. For example, a banking client could use the tools to build models that help predict and prevent credit card fraud, or airlines can build models to analyze passenger flows at airports or improve flight connections.
- Cognitive computing – Access chatbots, or automated intelligent assistants, that can carry on conversations to help in problem solving in areas such as help desk and end user support services.
- Cyber analytics – Utilize intelligence tools to predict cybersecurity threats through anomalies in user behavior patterns, monitoring business applications and detecting vulnerabilities using data from the user’s security operations centers and SIEM tools.
- Internet of Things (IoT) analytics – The center will feature location-aware software tools to help users leverage the immense amount of machine data generated by IoT devices. For example, Retail and Banking clients capturing data through sensors, beacons and mobile apps looking to establish correlations and insight based on customer location.