lafayette global launchpad
Christopher Lafayette intensive: ai and data – clean, governed, and deployment ready
AI without robust data is a house built on sand. In 2025, organizations live or die by the quality, governance, and integrity of their data pipelines. This 90-minute intensive is designed for leaders, technical teams, and builders who understand that deploying AI at scale starts with getting data right. Join Christopher Lafayette for a strategic and practical deep dive into what it takes to make your data usable, compliant, and an actual asset in the race to real-world AI.
INTENSIVE EVENT DETAILS
Next Session Dates:
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Date: Friday, August 22, 2025
Time: 10:00 AM – 11:30 AM Pacific Time (1:00 PM Eastern, 5:00 PM UTC)
Duration: 90 minutes (strategy session plus live Q&A)
Location: Live Virtual Intensive (private link after registration)
Access: Data leaders, engineers, AI builders, compliance officers, and decision makers
Registration Fee: $199
Christopher Lafayette intensive: ai and data – clean, governed, and deployment ready
Premium global learning for founders, innovators, students and corporate leaders building the next generation of industries.
Live
Live sessions taught directly by Christopher Lafayette. Structured 60-minute lecture + 30-minute live Q&A
Focused
Focused, actionable frameworks, not theory.
Fast
Designed for builders in fast-moving industries.
Limited
Limited seats to secure a premium experience.
about this intensive
It’s not algorithms, but the underlying data that defines AI performance, reliability, and value. Yet, most teams underestimate the work required to clean, govern, and prepare data for AI systems that need to be robust, ethical, and scalable.
This intensive gives you a strategic and operational roadmap,how to clean, manage, and govern data for AI in a world of shifting regulation and exploding data sources.
Christopher Lafayette brings real-world lessons from startup, enterprise, and public sector deployments, sharing what works, what fails, and how to lead your organization past common pitfalls.
who should attend
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- Heads of data, analytics, and data science
- ML and AI engineers responsible for model performance
- CTOs and technology leaders deploying AI at scale
- Compliance, governance, and regulatory officers
- Product managers building AI-driven products
- Consultants, advisors, and data platform partners
- Anyone working at the intersection of data, technology, and outcomes
If you’re responsible for the quality and trustworthiness of your organization’s AI, this session is essential.
Why this intensive is different
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This is a practical, candid breakdown of what it actually takes to get your data house in order for high-stakes AI deployment.
You’ll get:- A modern map of the data lifecycle for AI, from collection to cleaning, governance, and deployment
- Playbooks for closing the deficits between technical ambition and operational reality
- Best practices for regulatory compliance, ethical risk mitigation, and scalable infrastructure
- Live case studies on data disasters and success stories
- Tools for leaders who need to ensure that data is an asset, not a liability
Christopher Lafayette shares not just frameworks, but the questions every leader should be asking now.
who this intensive is for
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This intensive is built for those who lead or manage data-driven organizations, teams, or projects.
- Data engineers and architects designing future-proof pipelines
- Leaders responsible for privacy, security, and compliance
- Product managers who need reliable, responsible data for AI
- IT and operations directors bridging data and business objectives
- Consultants and partners guiding digital transformation
If you want to turn your data from a bottleneck to a competitive advantage, this is your session.
What you’ll gain
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- A clear, actionable roadmap for building data pipelines that are AI-ready
- Best practices for cleaning, labeling, governing, and securing data
- Approaches to meeting regulatory, ethical, and risk requirements
- Tools for aligning teams, vendors, and stakeholders around data quality
- Direct answers to your most urgent data and deployment questions in live Q&A
Leave with frameworks you can apply immediately and the Focus to lead your next data and AI project with confidence.
Frequently Asked Questions
We look forward to chopping wood together.
Here are some questions below that you may have.
Will there be a replay available?
Yes, every registrant receives a replay link within 24 hours of the event.
What happens after I purchase a ticket?
You’ll receive a confirmation email with event details, including the session link and calendar invite.
Is this a live or recorded session?
This is a live virtual masterclass taught directly by Christopher Lafayette. It includes a 60-minute lecture and a 30-minute Q&A.
Do I need to prepare anything beforehand?
No prep required. Just bring focus, something to take notes with, and questions if you have them.
Can my team attend with one ticket?
One ticket = one seat. If you’d like to arrange access for a team or company cohort, contact us directly.
What if I have questions about my registration?
Email [email protected] and we’ll respond within 24 hours.