All BlueVectors
Fire Risk Assessment
Real-time updates for the public and firefighters that highlight current and future high risk fire areas
Using historical data from NOAA (National Oceanic and Atmospheric Administration), Google Maps, Waze we can find early warning signs of potential fires to highlight high risk fire areas. To find these warning signs we will run ML models on past weather attributes (ex. temperature, precipitation, wind speed, etc.) and travel patterns (ex. people heading to risky fire starting areas like campgrounds) to highlight key attributes/patterns that best determine fire risk. We will apply this model to real-time streaming data from the same sources to determine high risk areas. This information will be available in two interfaces. One for the public which alerts travelers that they are heading to a high fire risk area and suggest other similar areas that have a lower fire risk. Another to be used by firefighters as a way to allocate manpower and resources to the appropriate areas before a fire starts.
Application
Traffic Analytics Platform (TAP)
Advanced analytics platform evaluating traffic patterns in real-time
A full service traffic analytics platform run on Google's Cloud Platform to measure traffic counts, classify vehicles, forecast speeds and car crashes, and visualize traffic patterns in new ways
Solution
Transportation Projects, Events, and Traffic Map
Up to date map with transportation projects, local events, and real-time traffic and public transportation updates
An interactive map with live updates for traffic and public transportation as well as daily updates on government and private utility projects to be made available to the public. We will also have a data visualization tool for the use of government to allocate project resources appropriately and ensure that new projects won't be in similar areas of current projects which would have too much of an impact on traffic.
Application
Fitbit Device Solution
Custom designed Fitbit smartwatches devices for serving notifications and collecting data inputs
As a component of the Fitbit Enterprise Solution, we have enriched the capabilities of Fitbit Smartwatch devices to help enhance the user experience and provide an extra source of data collection. This solution was developed to help ensure patients are enabling healthy lifestyle habits. Custom notifications help to remind patients and reinforce healthy habits. Custom data inputs are used to gain greater visibility into how a patients are feeling and if clinical outreach is needed.
Application
Fitbit Enterprise Solution
Managing and storing multiple users' Fitbit data through a secure pipeline, enabling the use of analytics to uncover procedural trends.
Enhancing the outcomes of medical procedures is an ongoing process of building off of best practices and using the best available tools. Through the use of Fitbits wearable devices, we are now able to provide hospitals and surgeons with objective data related to their patient’s health and wellness. We have created a Fitbit-GCP Enterprise Analytics Platform leveraging Kubernetes, BigQuery, Vertex AI, and Looker to uncover patient and procedural trends to help enhance best practices.
Application
Housing Assistance Solution
Web portal to manage the application process for, processing of, and distribution of Rental Assistance and Housing Assistance programs
Unpaid rent in the United States is estimated to be between $34 billion to $70 billion. With increasing debt, Congress approved $25 billion to assist those unable to pay rent or utilities due to COVID-19. We have created an Emergency Rental Assistance solution leveraging AppEngine, Document AI, and AutoML to ensure funds are getting distributed to the right people.
Solution
Social Health Insights Platform (SHIP)
Making sense of social media data to better target consumer cohorts
Stream and collect data from any relevant sources which audiences interact with to build a centralized data warehouse for Exploratory Analysis, ML/AI Insights, and Visualization
Reference Architecture
Unemployment Insurance Document Verification
Automated workflow for incoming and backlogged Unemployment Insurance documents
The COVID-19 pandemic brought upon a huge increase in Unemployment Insurance claims. Our solution lets you manage the verification process from ingesting claimant information and attached documents to scanning and mining proofing data from the documents, performing verification queries, and creating dynamic dashboard analytics and reports for better process efficiency transparency. With the use of Document AI, which implements best in breed optical character recognition tools, key information is extracted and validated automatically within the system. This solution is built to be integrated with or without existing UI workflows and relies on Google’s independently ranked industry leading Vision AI platform. Please see https://cloud.google.com/forrester-computer-vision for more details on Google’s top ranking amongst competitors.
Application
Unemployment Insurance Fraud Tracking Dashboard
UI Fraud Analytics, KPIs, and Visualizations for Monitoring Fraudulent Cases
Looker dashboard to help State administrators monitor and flag possible and confirmed fraudulent unemployment insurance claimants. Offers a variety of KPIs, maps, and other useful visualizations.
Dashboard
Visual Inspection - Medical Device Kits
Use Google's best in class Vertex AI suite to save on supply chain costs by streamline inspections and increase error prevention rates
This solution provides compliant, accurate and timely inspection for medical device kits, reducing the complexity and cost to serve by communicating defects early.
Application