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Datagaps at ALIGN AI Chicago 2026

Testing Time
Saved by

55%

Improved Functional
Testing Time by

25%

Saved QA
Cost by

30%

Overall Improvement
of TCO by

20%

Enterprise AI doesn’t fail on model quality. It fails on data quality. Meet April Fraleigh from Datagaps at the ALIGN AI Executive Summit to discuss how governed, validated data helps enterprise AI teams build systems they can trust.

📅 Date: July 15, 2026.

🏛️ Event Venue: City Winery Chicago, West Loop.

📍 Location: Chicago, Illinois.

👥 Audience: 150+ Senior Data and AI Executives.

Book a Meeting
Datagaps at ALIGN AI Executive Summit Chicago 2026

Why Datagaps at ALIGN AI?

We're here because data trust is the real problem

Every topic on the ALIGN AI agenda ties back to one thing. Teams need to be able to trust the data powering their AI. That’s what Datagaps is built for.

Agentic AI Governance

Validate the data powering your AI — before it causes decisions you can't trust.

Enterprise Data Foundations

Move from fragile pipelines to a governed, production-ready data layer.

Data Observability and Reliability with AI

Continuously monitor your data for anomalies, drift, and quality issues so your AI systems behave predictably at scale.

AI Governance and Compliance

Stay audit-ready without slowing down your AI operations.

ETL and Pipeline Validation

Catch data issues in your pipelines before they reach your models.

April Fraleigh

Sr. Account Executive

Meet April at ALIGN AI Chicago 2026

Meet April Fraleigh from Datagaps at the ALIGN AI Executive Summit on July 15, 2026. Discuss AI governance, data foundations, and what it really takes to operationalize AI with confidence.

📍 Location: Chicago, Illinois.

📅 Dates: July 15, 2026.

🏛️ Venue: City Winery Chicago, West Loop

Schedule a dedicated meeting with April to discuss how proactive data validation helps you move faster without sacrificing trust. Remote demos can be arranged if needed.

Let’s Talk Data Trust

Book a meeting with April at ALIGN AI Chicago to discuss how Datagaps helps enterprise data and AI leaders eliminate errors, automate validation, and build trusted pipelines. Remote demos can be arranged if needed.
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