Trusted Data Summit 2025

Testing Time
Saved by

55%

Improved Functional
Testing Time by

25%

Saved QA
Cost by

30%

Overall Improvement
of TCO by

20%

Number of
Theme

Number of
Tracks

03+

Session
Length in minutes

Number of
Speakers

12+

Theme

Proactive Trust at Scale — Test, Predict, Prevent with Agentic AI

📅 Thu, Nov 13, 2025 - 💻 Virtual • 🆓 Free to attend

Modern teams are moving from reactive checks to proactive, always-on assurance across ETL, BI, and DQ/Observability.

Trusted Data Summit (TDS 2025) spotlights agentic AI, shift-left, and contract-driven governance that auto-generate tests from mappings/lineage, predict anomalies before they escalate, and gate releases in CI/CD—spanning zero-ETL/ELT-native validation, Spark/Lakehouse-scale reconciliation, BI regression-as-code, FinOps-aware quality, and LLM/RAG safeguards across Databricks, Snowflake, Microsoft Fabric, BigQuery, and hybrid estates.

See submission guidelines

Due Sun, Nov 9, 2025, 11:59 pm PT

What we’re looking for

We invite professionals, practitioners, and researchers at the intersection of data engineering and quality assurance to submit talks on:

Novel frameworks and automation techniques for validating transformations, migrations, and aggregations in ETL pipelines

Integration of automated BI/report validation in continuous delivery workflows

Using AI/ML to detect, monitor, and remediate data-quality issues in real time across diverse sources

Case studies on scaling test automation in large data environments or cloud-native platforms

Collaborative approaches uniting developers, testers, and data engineers for holistic quality practices

Model-based and risk-based testing methodologies in the modern analytics stack

Insights into regulatory compliance, data governance, and agile delivery in a data-centric world

We welcome diverse perspectives: advanced technical talks, practical experiences, innovative tooling demos, and panel discussions that push the boundaries of test automation in data environments.

Speaker perks

Coursera course access

Selected speakers earn access to courses on test automation and data observability.

Promotion & Resource Hub

Amplified across TDS channels and featured post-event.

Digital recognition

Certificate of participation and a ready-to-use social media kit.

Submission guidelines

Due Sun, Nov 9, 2025, 11:59 pm PT

150–200 word abstract

3–5 takeaways

Target audience & level

Tech stack

75–100 word bio

Links to prior talks (if any)

Note if your session includes a live demo

Optional diversity/first-time-speaker note

Content policy

Vendor-neutral, strictly educational; tooling/demos are welcome when focused on approach/architecture. End-user/customer voices strongly preferred.

Selection rubric

Relevance to tracks (30%)
Practical depth & measurable outcomes (30%)
Originality (20%)
Clarity (10%)
Diversity of speakers/perspectives (10%)

Ready to submit?