Advanced Artificial Intelligence
Image and video intelligence customized to fit your business
AI That Fits Your Use Case
Artificial intelligence is rarely a one-size-fits-all solution. Every organization has a unique goal they’re hoping to achieve with AI and auto-tagging. MediaValet provides a smarter approach to artificial intelligence, offering three tiers of AI capabilities to address the auto-tagging needs of any business.
Take advantage of pre-trained, out-of-the-box AI models to tag your assets
Train AI models to label your assets with tags customized to meet your specific business needs
Work with data scientists to build AI models to address complex use cases that can’t be met using Customized AI
- Enrich your assets with AI-capabilities driven by Microsoft Computer Vision
- This is MediaValet’s basic AI option available to all customers
- Tag photos with common object, color and text recognition capabilities
Example: Without having manually added any keywords to their massive library of photos, a tourism company can quickly and easily search for images of a “beach”, at “sunset”, with a “couple”.
- Generate auto-tags that address your unique use cases with Microsoft Custom Vision
- Easily train your own custom AI-models and connect them with your DAM
- Tag photos with unique SKUs, product names, employees, and much more
Example: A telecommunications company sells a variety of brands and generations of mobile phones. They train an AI model to differentiate between the various brands and generations of handsets, so they can search using terms like “iPhone 8” and “Samsung Galaxy S8”.
- Build complex AI models to address advanced tagging use cases with Azure Machine Learning Services
- Work with data scientists to solve unique use cases, like identifying bacteria strains
- Specialized AI is for use cases that can’t be solved using Customized AI
Example: A pharmaceutical company is performing a scientific experiment that requires the identification and tagging of strains of bacteria across thousands of images. As the differences between the bacteria require advanced knowledge to identify, the company hires a data scientist and programmer to build a fully-customized AI model. Once completed, Azure Machine Learning utilizes the new model to tag the new strains in a matter of minutes.
Ready to Talk AI and DAM?
Using one or multiple AI-tiers, MediaValet can help you – today – to put proven artificial intelligence and machine learning technologies to work, instantly improving your asset discoverability and addressing your unique business cases.
Let’s chat to discover which tier is right for you and help you get started!
A Smart Approach to AI
While artificial intelligence will aid your team in improving asset discoverability – if done right, it’s meant to assist, not replace manual tagging. With this in mind, MediaValet takes a unique approach to ensure that AI never reduces the effectiveness and accuracy of your DAM.
Our approach consists of 5 best practices:
AI-generated “cognitive” metadata should be kept separate from manually added keywords
When kept separate, users can easily toggle AI-generated tags (i.e. cognitive metadata) on or off during a search, enabling them to find assets that were previously undiscoverable.
AI providers should be tracked the same as DAM users
Tracking the actions of your AI providers or models is just as important as tracking the actions of users in your DAM. Auto-tags should be attributed to the AI provider or model that added them, so it can be audited in the future.
Download Our Free Guide!
Read our free Guide to Enhancing Asset Discovery with Advanced AI
for a step-by-step implementation plan.