Leveraging AI to Grow Revenue Through New and Existing Products

Overview

Discover how Sitecore, AWS, and Slalom developed Gensights, a Generative AI product that synthesizes insights, generates recommendations, saves analysis time, and boosts cross-sell opportunities to grow revenue.

Syllabus

• Introduction to Generative AI
Overview of Generative AI
Key applications in business and industry
• Understanding Gensights
Collaboration between Sitecore, AWS, and Slalom
Features and capabilities of Gensights
• Synthesizing Insights with AI
Data ingestion and processing
Leveraging AI for actionable insights
• Generating Recommendations
Algorithmic approaches to recommendation systems
Case studies: Successful recommendation implementations
• Reducing Analysis Time with AI
Automating data analysis processes
Tools and techniques for efficient data handling
• Boosting Cross-Sell Opportunities
Identifying patterns and trends for cross-selling
Using AI to enhance customer experience and loyalty
• Revenue Growth through AI Integration
Strategies for integrating AI into existing products
Developing new AI-powered products for market expansion
• Case Study: Development of Gensights
Steps to creating a successful AI product
Challenges and solutions in product development
• Practical Implementation
Hands-on exercises with AI tools and platforms
Project: Build a simple generative AI model for a business application
• Ethical Considerations and Best Practices
Ethical implications of AI in business
Best practices for AI deployment and management
• Future Trends in AI for Business
Emerging technologies and innovations
Preparing for the future of AI-driven business solutions
• Course Wrap-up and Q&A
Recap of key learnings
Open discussion and questions from participants

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Subjects

Programming