Webinar

Building Reusable Data Products: Aggregating Diverse Data Sources with Quality Adherence

Key Highlights

In data-driven clinical research, ensuring data integrity, consistency, and compliance is a persistent challenge. Organizations acquiring or licensing diverse data assets often struggle with inconsistent formats, structural discrepancies, large-scale processing inefficiencies, and regulatory compliance risks.

Don’t miss our live demo, where we’ll walk through the entire workflow using publicly available datasets.

‍

Key Challenges that will be addressed in this webinar

Fragmented and unstructured data, along with data silos, hinder standardization and governance, making it difficult to establish consistency and reliability.
Organizations face significant challenges in aggregating diverse datasets into a unified platform, which impacts user experience, data usability, and effective monitoring.
Ensuring that data providers adhere to high-quality standards is critical for organizations that rely on accurate data-driven decision-making.

Webinar

Upcoming Webinar

In collaboration with

Building Reusable Data Products: Aggregating Diverse Data Sources with Quality Adherence

What the AI Co-Scientist Paper Actually Demonstrates for Biologists and Data Scientists

March 13, 2025

11 AM PST / 2 PM EST

Don’t miss our live demo, where we’ll walk through the entire workflow using publicly available datasets.

‍

Key Challenges that will be addressed in this webinar

Fragmented and unstructured data, along with data silos, hinder standardization and governance, making it difficult to establish consistency and reliability.
Organizations face significant challenges in aggregating diverse datasets into a unified platform, which impacts user experience, data usability, and effective monitoring.
Ensuring that data providers adhere to high-quality standards is critical for organizations that rely on accurate data-driven decision-making.

Here's your

link

to the webinar recording.

Thank you for registering.

Please check your inbox for further details to join this webinar.

Oops! Something went wrong while submitting the form.

Registrations are closed!
‍

Real-World Applications We’ll Cover

Scaling clinico-genomic data integration: Large pharmaceutical organizations working with external data providers used Polly to build interoperable clinico-genomic data products 6x faster.
Although purchased datasets are often labeled as "clean," they still lack interoperability—Polly's pipelines bridge this gap with robust integration and harmonization.
Information Retrieval: Drug safety monitoring teams used Polly's Knowledge Graph powered co-scientist to conversationally retrieve the right cohorts & assess drug response—cutting discovery time by 70%.

What You’ll Learn

Join our experts, as they discuss strategies to ensure high-quality data at scale.

We will share how implementing a Trusted Research Environment (TRE) has enabled a robust framework for data ingestion, harmonization, and quality validation. Through self-serve, automated pipelines, we evaluate data quality in real time, assessing key dimensions such as conformance, plausibility, and consistency.
To enhance accuracy and context-awareness, learn how we integrated a human-in-the-loop approach, where 100+ domain experts validate, refine, and monitor automated quality checks resulting in 99.99% accurate data products.
Explore how our approach ensures seamless data aggregation and transparency through GUI-based workflows, CLI tools for large-scale synchronization, collaborative workspaces, and real-time monitoring dashboards.

Why This Matters for Biomedical Researchers

If you’re working with complex biological data, you may be asking:

Can generative AI truly assist in scientific reasoning, not just data analysis?
What does it mean for hypothesis generation, literature review, or even designing experiments?
Could this accelerate—not replace—my discovery pipeline?

Whether you're skeptical, curious, or already experimenting with AI in your lab—this is a session designed to ground your understanding in evidence, not speculation.

Meet the Experts of this discussion

Manimala Sen

Director of Product Management

Dmitrii Calzago

Senior Manager Data and Analytics

Key Takeaways

How data providers ensure adherence to quality standards through validation and compliance.

How GUI-based workflows, CLI tools, and collaborative workspaces enable streamlined data ingestion and synchronization at scale.

Understand how automated pipelines assess conformance, plausibility, and consistency, ensuring high-quality, AI-ready data products.

Key Takeaways

Reduce operational costs by streamlining data delivery through reusable, governed products.

Accelerate diagnostic development and clinical trial execution by delivering compliant, high-quality data at scale.

Improve audit readiness and regulatory confidence through governed data products and built-in quality assurance.

Equip cross-functional teams to act on trusted data—faster, and with greater confidence.

Who Should Attend?

All Webinars

Hype, Help, or Replacement?

Accelerate Diagnostic Product Development with Scalable & Accurate AI-Ready Clinical Data Pipelines

Scaling High-Quality Data Processing: How to Achieve 4x Cost Reduction for Foundation Models

Advancing Single-Cell Analysis: A Comparative Exploration of Foundation Models

Building AI-Enabled Curation Infrastructures for Biomedical R&D: Lessons from the field

Biologically Informed Single-cell Data for Deep Learning Models

Other Resources

All Webinars Case Studies Dataset Roundup Documentation Glossary Solution Briefs Whitepapers

[Upcoming Webinar] Scaling High-Quality Data Processing: Achieve 4x Cost Reduction for Foundation ModelsRegister Now->

Reserve Your Seat