Ensure You Have the Capabilities to Win with GenAI
AI Modeling Techniques for Hyper-Personalization
Workshop
Choose and tune personalization models that improve outcomes
Hyper-personalization performs when teams select the right modeling approaches, train responsibly, and evaluate impact with rigor. This workshop helps leaders survey personalization algorithm options.
Leave with a modeling blueprint—approach selection, training plan, evaluation criteria, and optimization priorities.
The Challenge
Many personalization models look strong on paper, but fail to deliver sustained improvement in real experiences.
- Model choices are inconsistent: Teams select algorithms without shared criteria for accuracy, explainability, latency, and operational.
- Training and tuning are ad hoc: Feature choices, fine-tuning, and iteration aren’t standardized, slowing progress and increasing risk.
- Evaluation isn’t rigorous enough: Models are optimized for offline metrics, while real experience and business impact.
Without disciplined modeling and evaluation, personalization becomes unpredictable—creating complexity without measurable gain.
Our Solution
We guide your team through a practical approach to select, train, evaluate, and optimize personalization models for real-world.
- Personalization Algorithm Landscape Review: Clarify the core categories of approaches and when each fits best based.
- Advanced and Deep Learning Techniques: Identify where advanced models add value and what prerequisites are required.
- GenAI-Specific Personalization Practices: Define how GenAI-enabled techniques can enhance personalization while maintaining control and consistency.
- Training, Fine-Tuning, and Iteration Plan: Establish how models will be trained and tuned, including data needs, experimentation.
- Performance Evaluation and Optimization: Define evaluation criteria, testing methods, and optimization priorities tied to customer.
Area of Focus
- Surveying the Landscape of Personalization Algorithms
- Leveraging Advanced Models and Deep Learning Approaches
- Applying GenAI-Specific Personalization Best Practices
- Training and Fine-Tuning Personalization Models
- Evaluating and Optimizing Personalization Performance
Participants Will
- Define criteria to select personalization modeling approaches that match business goals.
- Identify where advanced and GenAI-enabled techniques can improve experience outcomes.
- Establish a training and tuning plan with clear data requirements and iteration.
- Define evaluation methods that measure real-world impact, not just offline performance.
- Leave with optimization priorities to improve personalization effectiveness over time.
Who Should Attend:
Solution Essentials
Format
Facilitated workshop (in-person or virtual)
Duration
8 hours
Skill Level
Intermediate to Advanced
Tools
Slides, workshop templates, key worksheets, checklists, and collaboration tools.