Transforming IP Content Management Operations with AI and Data
IP Asset Management and AI Analytics System with Google Cloud
This PoC service leverages Google Cloud AI to validate the effectiveness of automated IP asset analysis and tagging, together with natural language search, using real-world data. From assessing business fit to exploring the architecture for production deployment, the service provides reliable insights to support informed decision-making.
Service Overview
Leverage Google Cloud AI to automatically analyze and tag IP assets, including videos, images, and documents. With semantic search and multilingual capabilities, the solution enables more advanced asset utilization and greater operational efficiency.
Current State
Image of AI-Powered Operational Efficiency
Service Benefits
AI-powered automated analysis and semantic search significantly reduce the time and effort required for tagging and searching. By enabling IP assets to be utilized across languages and departments, the service realizes improved productivity and cost optimization.
- Reduce Tagging Effort
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AI-powered automatic tagging reduces manual work, helping ease the workload on staff and accelerate business operations.
- Enhance the Search Experience
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AI-powered semantic search reduces the time and effort required to find content, enabling users to quickly locate the assets they need.
- Seamless Access Across Languages
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Search and access content without worrying about language barriers, enabling smoother global information sharing and utilization.
Service Details
This service provides a PoC to assess the applicability of Google Cloud AI to IP asset management operations. Using actual business data, we validate the benefits and provide concrete insights to support decision-making for production deployment.
- Metadata Extraction
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For tagging and metadata enrichment that have traditionally been performed manually, we assess the feasibility and accuracy of automated extraction and tagging using AI. We evaluate whether this can reduce manual effort and minimize variability in quality.
- Natural Language Search
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We validate a natural language search experience that does not rely on keyword matching or predefined search criteria. Users can enter what they are looking for in their own words, while semantic understanding enables them to quickly find and access the relevant assets.
- Fit & Gap Analysis
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We conduct a Fit & Gap analysis by comparing the PoC results against your existing business processes. Based on the results, we support the planning of the production environment, including architecture considerations and the identification of areas for improvement.
Q&A
- Can you integrate with existing asset management systems and file servers?
- Yes. During the PoC, we validate data ingestion and integration methods based on your existing management processes and storage environments. For production deployment, we also propose an architecture that leverages your existing systems.
- What level of accuracy can we expect from AI-powered tagging and search?？
- Accuracy depends on the type and quality of the target data. Through the PoC, we validate accuracy and business applicability using actual data and visualize the results you need to make an informed decision about implementation.
- Can you also support the production implementation phase?
- Yes. JBS can also provide support for the production implementation phase. Please feel free to inquire.
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