Automate human and machine workflows to drive operations
Task Management directs activities among humans and machines to maximize safety, efficiency, and mission outcomes. MapLarge task automation includes activity-based data collection and orchestration of enterprise data and sensor systems at scale.
Compose Workflows to Dynamically Manage IoT Sensor Configuration
The MapLarge Platform’s flexibility in exploiting multi-source data allows it to scale existing data feeds and append new sensor modalities to gapfill and enrich workflows. For example, as events occur mission success may become dependent on rapidly changing the default sensor recording inputs. Such instances occur frequently in IoT use cases with dynamic environmental conditions, in which assets may become at risk or are operating in austere environments.
Blend Siloed Data and Apply Analytics to Derive Insights
MapLarge ingests and normalizes disparate data feeds to make it consumable to humans and machines downstream. MapLarge’s ETL workflows simplify import periodicity, data schema, and transforms to blend or conflate heterogeneous data for export. MapLarge’s task management system provides analysts functionality to adjudicate automation in-the-loop (human approval required for action) or on-the-loop (autonomous action with human monitors) to improve process speed, precision, and accuracy over time.
Orchestrate Multi-Source Systems into Integrated Workflows to Drive Mission Outcomes
Depending on the use case, task management may employ multi-domain (subsurface, surface, air, space, and cyber) and multiple phenomenology sensor systems (EO, IR, SAR, HSI, RF, GPS, AIS, ADS-B, OSINT, etc.) for a workflow, including detecting, collecting, integrating, analyzing, visualizing, and alerting on activity observations. Detection logic is employed to task/re-task sensors to collect additional data through object or event-based activity models. The automation of tasking assists in capturing time sensitive events as they unfold, increasing opportunity for proactive response.