Reducing Image Hide & Seek with AI for In-House Agencies
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Most designers spend a lot of time (too much, in fact) searching for images. The thing is, finding what you’re looking for assumes the image was tagged with the appropriate terms up front. Artificial intelligence (AI) can be a useful aid to identify image attributes. And, applying AI using machine learning (ML) models that can be trained on your specific business data can add real value by reducing tedious manual tagging while increasing search effectiveness. In this webinar, we walk through a practical example from an apparel manufacturer of how business-trained AI is being used to identify and label creative assets during mass image uploads.
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Reducing Image Hide & Seek with AI for In-House Agencies
- 1. Reducing Image Hide& Seek with Artificial Intelligence
- 3. Access&Utilize MediaAssets • Know what you have • Avoid expensive and inefficient duplication • Coordinate multiple creative suppliers • Centralize managed collections of content and medatada
- 4. Digital Assets Across The Enterprise 4 Create Make Sell Materials Design PhotoStudio CampaignDesign ProductKnowledge ContentHub PackagingDesign
- 5. Accelerating IdeastoMarket By connecting content assets to data throughout the product lifecycle from ideation to support. For a more efficient digitalsupply chain, and an increase in the value of the assets.
- 6. Organization’s systems are not fully connected to each other Time spent daily looking for information See the potential of AI to automate mundane tasks *Results of a November 2019 survey of UK Financial Services companies Believe their organization lacks the skills to capitalize on AI Average number of solutions 60% 60% Theoldwayof managing content & data isn’treally working anymore.
- 7. 7 1 Recognize content types 4 Predictively deliver information 7 Identify outlying data points 2 Extract data from content 5 Analyze usage and importance 3 Enrich content metadata 6 Recognize patterns and connections ThePromiseof Artificial Intelligence Understandcontentand dataaswellasa knowledgeablehuman, butatscale.
- 8. Generic Connect to a broad set of public services for common use cases (general classification, enrichment, OCR, speech-to-text, etc.). Commodity models provide generic services. Business-Specific Deliver highly relevant insights and enrichments to enable specific business use cases / domains. Custom models deliver more meaningful outcomes for business. There are 2 types of AI Enrich. Decide. Optimize.
- 9. Generic AI Configurable Configure content structure and processes Normalized Use different providers for more power Scalable Enrich bilions of documents and digital assets Consolidated Enrich documents and searches Image& Video Recognition Transcribe Text Extract Comprehend Translation 9
- 10. Land Vehicle Vehicle Car Motor Vehicle Transport Parking Mode of Transport Van Automotive Tire Bumper MinivanTire Sport Utility Vehicle Family Car Vehicle Registration Plate Chevrolet Tahoe Asphalt Gas Minibus GenericAI=GenericData Note: Depicts actual data generated from Ford image by Google Cloud Vision API service Demos ability of AI/ML to apply data to assets Generally useful in increasing findability and reuse Relevancy and accuracy of the model is inherently limited 1 2 3 Model returns a set of labels lacking business-critical data elements 4
- 11. Business-Specific AI/MLServices ContentBots Secure, customer models trained on your own content. Multiple Inputs/Outputs Train with both content (documents, media) & data. Predict multiple values at once. ContinuousTraining Content bots continuously evolve in an automated training cycle. Active Learning Gamified “human-in-the-loop” system for over-the-shoulder validation & learning. ContentCreation Track all-machine generated content (metadata) and corrections. Performance Monitoring Real-time performance reporting. Quickly identify corruptions & degradation in models. Fail Proof All content actions are reversable. Models are versioned & can be reverted to previous versions. Auditable Review training and evaluation datasets for each Content Bot. Enterprise-ready ML.
- 12. Business-SpecificAI=Information Brand: Chevrolet Model: Tahoe License St.: Illinois License No.: K24 1771 Custom models produce much more relevant data values 1 True entity extraction enables workflow automation 2 Business value increases with specificity of the data 3 Veh. Color: Gold Mist Metallic Brand: Dodge Model: Ram Van License St.: Illinois License No.: XXX 8242 Veh. Color: Bright White Operator: John Smith
- 14. CustomerusecaseforInsightservice LifestyleImage ProductImage ShotType Solo, Front, Group, Side, Details, Back,... Image asset Talent Clark Kent, Bruce Wayne. RelatedProducts Chino shorts, Striped polo, sunglasses,...
- 15. Results from training sets LIFESTYLE IMAGE BRAND SEASON IMAGE VS IMAGES PERFORMANCE Person 1 Person 2 Person 3 Person 4 Global