What You Need to Know Before
You Start
Starts 4 June 2025 08:24
Ends 4 June 2025
00
days
00
hours
00
minutes
00
seconds
Retail Transactions at Scale for AI - From PoC to Production
Discover how to scale AI solutions for retail transactions, from handling millions of unstructured data points to enabling enterprise-wide AI applications and reporting capabilities.
Data Science Conference
via YouTube
Data Science Conference
2458 Courses
24 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
Overview
Discover how to scale AI solutions for retail transactions, from handling millions of unstructured data points to enabling enterprise-wide AI applications and reporting capabilities.
Syllabus
- Introduction
- Foundations of Retail AI
- Scaling AI Solutions for Retail
- Handling Unstructured Data
- Enterprise-wide AI Application Deployment
- Reporting and Analytics
- Case Studies
- Best Practices and Future Trends
- Conclusion
Overview of AI in Retail Transactions
Key Challenges in Scaling AI Solutions
Understanding Retail Data: Structured vs. Unstructured
Key AI Technologies for Retail Transactions
Implementing AI models: From PoC to Production
Data Pipelines and Infrastructure for Scalability
Managing and Optimizing Data Storage
Techniques for Processing Large Volumes of Unstructured Data
Natural Language Processing in Retail
Computer Vision for Product Recognition
Strategies for Integrating AI Solutions Across the Enterprise
Ensuring Consistent AI Performance at Scale
Building Real-time Reporting Capabilities
Data Visualization Techniques for Retail Insights
Successful Retail AI Implementations
Lessons Learned from Scaling AI in Retail
Best Practices for AI Model Maintenance and Monitoring
Emerging Trends in Retail AI
Recap of Key Learnings
Preparing for Future AI Challenges in Retail
Subjects
Data Science
