Jack Christie

Product Marketing Manager for AI and Analytics

Jack Christie is the Product Marketing Manager for AI and Analytics at EDB. He has more than a decade of experience in product marketing, brand strategy, and design across industrial, healthcare, e-commerce, and database technology enterprises. The common thread through it all is a passion for great customer experiences — which he happily indulges at EDB as he brings AI and Analytics solutions to market that make businesses and developers more successful.

 

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Product Updates

EDB Postgres AI Analytics Accelerator: Get rapid insights from your operational data and take action with agentic analytics

EDB Postgres AI Analytics Accelerator breaks down data silos by turning your sovereign Postgres environment into a powerful analytics hub.
Product Updates

EDB Postgres AI - Support for Greenplum Workloads is clearing the path to cost savings, open source innovation, and reliable support for enterprise Greenplum® workloads

Today, we’re excited to announce EDB Postgres AI - Support for Greenplum Workloads and a new open source fork of Greenplum: WarehousePG—empowering organizations with at-risk Greenplum deployments to reclaim open source innovation with an Apache-licensed Greenplum alternative backed by award-winning EDB support. Open source is a core priority at EDB, stemming from a commitment to provide our customers with the freedom, flexibility, and efficiency they need to thrive. For over 20 years, we’ve been a critical contributor to beloved open source projects like PostgreSQL and CloudNativePG. We’ve also made a name for ourselves helping hundreds of businesses break free from Oracle constraints — reducing total cost of ownership (TCO) without sacrificing performance or enterprise-grade support.
Product Updates

EDB Postgres AI Q1 2025 Release Highlights

Enhancing operational efficiency and security: EDB Postgres AI’s latest transactional database server and tooling updates This blog was co-authored by Jack Christie, Dave Stone, Lizzy Nguyen, and Neel Chopra. Our customers are constantly striving for greater operational efficiency without compromising on security — a balance that is hard to manage. To support this goal, we’re excited to announce a...
Product Updates

Solving enterprise generative AI and analytics challenges: Zooming in on our Q4 2024 release

The hype around generative AI (GenAI) continues—and yet Gartner predicts that 30% of GenAI initiatives will be abandoned after proof of concept by the end of 2025. Businesses are hitting roadblocks due to the complexity of piecing together disparate off-the-shelf AI components or they’re getting cold feet after seeing disappointing results from generic chatbots and copilots. But the real issue is more foundational: 60% of data leaders cite data governance as their top priority, which is at odds with the immaturity and public cloud-based nature of many AI tools.