Customer Case Study

Pfizer Chooses Alation to Scale their AI

Download the report

Discover how Pfizer Inc., a global leader in the pharmaceutical industry, successfully leveraged an AI analytics platform to transform the way they identify and treat rare diseases.

In our comprehensive case study, you'll gain insights into:

  • Collaboration Across Divisions:

    Learn how Pfizer's analytics platform enabled various departments to work together seamlessly, breaking down data silos.

  • Harnessing Machine Learning:

    Understand the role of machine learning algorithms in yielding previously unattainable insights in record time.

  • Navigating Complex Data Landscapes:

    Explore how Pfizer managed the challenges of analyzing vast amounts of structured and unstructured data, including patient records and lab reports.

  • Impact on Rare Diseases:

    See how the platform was instrumental in identifying patients with rare conditions like transthyretin cardiomyopathy, a disease often misdiagnosed due to symptom similarities with other heart failures.

This case study is a must-read for anyone interested in the intersection of healthcare, technology, and data science. Understand how Pfizer's innovative approach to data analysis is not just a game-changer in the pharmaceutical world, but also a beacon for other industries grappling with similar challenges.

Download now!

Related resources

Shipt Monte Carlo Case Study

Customer Case Study

On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo

This same-day shopping and delivery service faced challenges with data quality, trust, and concurrent processing issues in their backend Postgres databases. To address these, the company’s data leadership implemented a comprehensive data modernization strategy. They migrated their data to the Snowflake data cloud and adopted Alation as the front end for their data for its user-friendly interface. Additionally, they implemented the Monte Carlo data observability platform to ensure data quality with real-time lineage and alerts. This integrated solution provides the delivery company with reliable, high-quality data for business reporting and AI modeling, generating the insights needed to deliver value to their customers, shoppers, and retail partners.

Webinar Registration

Building Trust in AI: Best Practices for AI Governance from IDC's Stewart Bond

As AI becomes increasingly integral to business operations, effective governance is essential to ensure innovation remains safe, auditable, and compliant. According to IDC research, the two top concerns for organizations investing in generative AI solutions are: the lack of GenAI skills or expertise within the organization and the accuracy of AI-generated outcomes. Building AI literacy and leveraging accurate, trusted data are crucial for driving successful AI initiatives.

Webinar Registration

Elevating Financial Services: The New Data Governance Playbook

Tap into the power of data governance with a playbook that turns compliance into innovation and widespread adoption in financial services.