Turn Data into Your Most Trusted Asset
Silent data corruption. Unexpected schema drift. Downstream errors. The biggest threats to your data’s value are the ones you don’t see—until it’s too late. It’s time to stop guessing and start guaranteeing the return on your data investment.
Join us for this exclusive webinar to see how Actian Data Observability provides the missing layer of trust and reliability needed to turn your existing data into a powerful asset for AI innovation.
Turn data chaos into confidence
In this webinar, you will see how to:
- Shift-Left Your Data Quality: Address data issues early to prevent downstream problems and speed up insights.
- Improve Data Reliability and Trust: Achieve greater accuracy and consistency across your data pipelines, empowering you to create reliable, AI-ready data products with confidence.
- Optimize Cloud Costs: Use a decoupled architecture and zero-copy data access to control compute and storage expenses.
- Scale With Open Architecture: Understand the value of native support for open formats and how it can enhance your data lake strategy.
Stop reacting to data problems. Start preventing them.
Speakers
Emma McGrattan
Chief Technology Officer, Actian
As Chief Technology Officer at Actian, Emma McGrattan leads the company’s technology strategy, innovation, and product development in support of Actian’s mission to simplify how companies connect, manage, govern, and analyze data to transform businesses. Since joining the company three decades ago, Emma has played a pivotal role in the evolution and advancement of its analytics, data integration, and data management solutions, including the Actian Data Platform.
Scarlett Whedbee
Senior Sales Engineer, Actian
Scarlett Whedbee is a seasoned Solution Engineer with over 15 years of experience in the data management space, partnering with strategic customers to transform and modernize their data strategies. She has led hundreds of deployments, trainings, and consultations, helping organizations optimize workflows, unify disparate systems, and drive measurable business impact. Scarlett has held key roles at Monte Carlo, where she focused on AI-driven data observability, and at Collibra, where she advanced enterprise data intelligence initiatives. Her expertise spans across data observability, governance, and intelligence—empowering organizations to turn complex data ecosystems into cohesive, trusted solutions.