Lydianne Ardry

• Personal AI generally refers to AI systems that are designed specifically for an individual, learning from their unique data and behaviors

• How enterprises are combining traditional ML-based personalization signals with GenAI agents to orchestrate dynamic, goal-driven marketing and customer engagement workflows

• Practical challenges in deploying agentic systems—from data integration and model oversight to aligning agent actions with brand, compliance, and campaign strategy

• The evolving role of AI teams, marketing leaders, and human reviewers in co-piloting agentic workflows that accelerate planning, content creation, and decision cycles

• Personal AI generally refers to AI systems that are designed specifically for an individual, learning from their unique data and behaviors

• How enterprises are combining traditional ML-based personalization signals with GenAI agents to orchestrate dynamic, goal-driven marketing and customer engagement workflows

• Practical challenges in deploying agentic systems—from data integration and model oversight to aligning agent actions with brand, compliance, and campaign strategy

• The evolving role of AI teams, marketing leaders, and human reviewers in co-piloting agentic workflows that accelerate planning, content creation, and decision cycles

• Why today’s CRM teams face a marketer’s paradox of choice—too many segments, signals, and decisions to make by hand

• How AI/ML decisioning helps select the right message, moment, and channel across push, email, and in-app journeys—while keeping human oversight in the loop

• Practical guardrails for responsible personalization (governance, approvals, and KPIs) without revealing confidential strategy

Lydiane Ardry - CRM Director, Crypto.com