Create hundreds of personalized customer experiences and campaigns
Detect anomalies and unwanted behavior in real time
Manage every aspect of data offloading
Supercharge your digital campaigns with personalized videos
Let your clients navigate with an Augmented reality mobile app
Scan your retail products on the go
Automate your customer support with Artifical intelligence
Enrich your internal data with information from external sources
Consolidate all the reports in one application
Onboard your clients online, convenietly and fast
Close contracts within an app, save time of your clerks
Create management reports, quickly and effectively
Report incidents with an intuitive app
Integrate all your loyalty cards into mobile devices and enjoy promotions
Analyze your video with help of Artificial Inteligence
Develop your data warehouse with almost no developers
Detect frauds within a convenient system
Engage your customers’ interest with a humanoid robot
Automate data extraction from personal documents
Keep track of your transporting containers with the Internet of Things
Manage your store stock online
Schedule your resources with a Task and asset optimization platform
Accelerate your sales with a new way of digital communication
Don't keeep your guests waiting; use a digital reception instead
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Ability to detect anomalies in data in near real-time, with detection time reduced from days/hours to minutes/seconds
Ability to process terabytes of data in parallel, lets you scale up your monitoring processes by orders of magnitude
Acceleration and automation of issue detection, enabling faster reaction and problem prevention
Visualization and explanation of the detected anomalies, to keep decision-makers, operators, and analysts in charge
ADF (Anomaly Detection Framework) finds anomalies in large volumes of complex data in near real-time. It visualizes and explains the detected problem, letting you take appropriate action. The system learns to detect anomalous behaviors that exceed the statistical probability of randomness.
Anomalies in financial data typically signify possible fraud or misconduct. ADF helps you to find errors and unmatched records in financial transactions and reveal hidden risks or issues in employee performance in attendance reports. ADF also wades through streams of data from various systems in your computer network, detecting novel cybersecurity threats or malware, and problems in the performance of critical devices, or applications.
ADF improves the quality of products and uptime of production lines, analyzing data from sensors on production lines, looking for early warnings leading to a potential malfunction. It also helps you with product-quality management, by inspecting manufactured product properties in real-time or comparing final product test data against manufacturing data and pinpointing inefficiencies. In digital marketing, ADF spots anomalies in bounce rate, social media sentiment, and other important metrics, letting you improve performance.
ČSOB Pojišťovna, part of KBC Group and the 5th-largest insurer in the Czech Republic, innovated its fraud-detection process to increase fraud-detection efficiency, decrease false positives, and protect itself from evolving fraud activity. ADF, when applied to historical claims data, automated the fraud-detection process, allowing analysts to concentrate on relevant cases, reducing false positives by 60%, increasing operational efficiency, and improving customer experience.
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False alarms decreased by 60% with ADF.
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