Retail, Ecommerce,
Robotics and more...
More Industries
Predict human behavior, optimize production
processes and analyze the market in-depth
Digital Divide Data’s (DDD) computer vision and natural language processing solutions have been successful in a wide range of industries around the world. We are ready to discuss projects across all dimensions and complexity.
RETAIL/ECOMMERCE
For shoppers and customers AI is enabling new kinds of experiences that are richer, easier, and more personalized. And for retailers the technology is reducing costs, compressing time-to-revenue and boosting customer loyalty.
ROBOTICS
From self-driving cars, to drone-borne deliveries, to robotic sorting of recycled waste, robot vision is automating numerous manual activities.
MANUFACTURING
AI in manufacturing involves using technology to automate complex tasks and unearthing previously unknown patterns in manufacturing processes or workflows.
TRANSPORTATION AND LOGISTICS
AI systems can help manage fleets by providing real-time updates to all members of a fleet team, streamlining the process.
GEOSPATIAL ANALYTICS
Satellite and aerial imagery is the foundation for a wide variety of industrial, governmental and scientific use cases, including insurance, transportation, meteorology, environmental protection, agriculture, law enforcement, national security, remote delivery and traffic management.
HEALTHCARE
With chronic shortages in health care personnel, particularly in rural regions, there is a role for AI in patient management and treatment. ML-powered bots use CV and NLP to manage initial patient contact, gather patient data, evaluate patient behavior and consume real-time medical data.
FINANCIAL SERVICES
ML-based fraud detection and risk profiling is a high priority. And CV and NLP models are at the heart of systems that interpret and extract data from handwritten documents or edits, and that capture or flag salient content from text-based documents or other content.
SPORTS ANALYTICS
Professional and amateur sports organizations are using AI systems to recruit, train and evaluate athletes and teams. Enormous volumes of extremely precise training data are required to train models to understand the minute differences in movement or preparation that give premier athletes a competitive advantage or keep them at peak performance without injury.
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Machine Learning Case Studies
AMP Robotics develops robotic systems to remove recyclable materials from conveyor belts for recovery.
Microsoft was developing their machine learning platform to detect and recognize recorded audio, speech and photos.
Our team processed over 5,000 reviews per week and drove insights into process and product improvements for the client.
As self-checkouts grow in popularity, there is an equally growing need to help increase accurate identification of unscanned items that leave the store.
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