- Adviesdiensten
Azure Computer Vision: 10 Week Implementation
Take an Azure Computer Vision use case from concept to pilot within 10 weeks
FROM SCRATCH TO A WORKING AZURE COMPUTER VISION PILOT IMPLEMENTATION IN 10 WEEKS OR LESS!
Clients everywhere recognise the benefits delivered to their customers through the application of Computer Vision. Many already have strategic investments with Microsoft and want to explore Azure Computer Vision use cases to solve critical business challenges.
Nexer FastForward for Azure Computer Vision is a custom-developed program that takes a service use case from idea to proof of concept within three months, demonstrating benefits in the field.
Our experts collaborate with your key stakeholders to Identify promising Computer Vision client use cases, assess their business value and deploy one or more in a Proof of Concept.
Nexer FastForward for Computer Vision Agenda and Deliverables:
ANALYSE PHASE (1 Week)
IMPLEMENT PHASE (4-8 Weeks)
ASSESS PHASE (1 week) • Project outcome review • Next steps joint planning
The result is a solution tailored to your business needs and industry dynamics that help you automate manual processes like image classification, object detection and tracking to transform your operations. By applying Computer Vision features to streamline processes, such as image processing, robotic process automation and digital asset management:
Automate operations to improve performance and uphold higher standards of quality control
Increased consistency, speed, and accuracy of outcomes with automation
Extract powerful insights from data to make accurate forecasts and informed recommendations
Eliminate the guesswork involved in data-driven decisions
Offer stakeholders a unique experience with data tailored to their requirements
Become more secure, scalable and industry compliant in your operations
Successfully implemented for clients including Boliden, Nordic Construction Company, and a Global Container Port Operator, FastForward is a practical and proven way for clients to realise the potential of Azure Computer Vision.