Common Use Cases
The use of data science and machine learning for cybersecurity applications includes the deployment of statistical methodology, machine learning, and big data analytics for network modeling, anomaly detection, forensics, risk management, and automated tools. SFL Scientific develops advanced solutions in cybersecurity for academia, enterprise, and government applications, as well as helping align and stand-up start-ups with cutting-edge solutions using machine learning.
From face detection in cameras to advanced anomaly detection and event monitoring for security and defense applications, we apply classical computer vision and deep learning techniques to solve the toughest challenges in image processing and motion detection.
As a NVIDIA preferred service partner, we'll rapidly develop new features for your system using the best available high-performance computing methods and hardware.
Move beyond traditional business intelligence and business monitoring stages with data and analytic investment. Apply analytics to solve customer-centric business problems using data science to understand and quantify behaviors, preferences, patterns, interests, and predict their value.
Common use cases include:
Reducing customer attrition
Improving cross-sell and bundling of services
Increase customer satisfaction
Improving customer acquisition
Prevent customer lapse and targeted win back
We can help build actionable customer analytic profiles for your use case.
Time-series and machine learning methods can be applied to wearables and other interactive electronics to characterize events, movement, and learn a user's behavior.
Fitness: Monitor and predict activity from a variety of sensors and available sources. Whether a new spin on exercise tracking or integrated solutions with voice control, we provide full support and development.
Health: Track vital signs and predict acute health events from common biological signals such as ECG and EEG, or alerts for acute health events such as falls, breathing and heart rates. Our work includes FDA-approved monitoring systems and emergency response beacons.
With increased competition in the home automation space, mass adoption of smart systems and products remains centered around execution and implementation. Let's work together to find the best solution for your business case and build a robust technological backbone.
Communication: We develop algorithms for standard and private protocols, providing engineering for remote and audio control. We can develop private integrations and voice activation for popular apps and controllers such as Amazon Alexa.
Smart Home: We create algorithms for signal monitoring, activation, and alert systems for smoke, CO, home security, lighting, HVAC, solar, and other device classes.