MDM sits within an industry that is moving at breakneck speed, as the way that companies manage and use their data is continually evolving. MDM is at the core of data management, with Gartner consistently emphasising its importance for data integrity and business success.
What’s in this episode?
In this episode, we hear from Catherine Cherry, Director – Master Data Management at Amplifi, and Matthew Cawsey. We explore how MDM has adapted to and been impacted by AI, and equally how organisations can utilise MDM to assist their AI initiatives. We discuss how a solid MDM foundation enhances AI capabilities, while AI can optimise and streamline MDM processes.
“Through 2025, at least 30% of GenAI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs or unclear business value.”
Arun ChandrasekaranDistinguished VP Analyst, Gartner
Topics covered include:
- How you can be using AI as a tool set, enhancing rather than replicating current MDM practices
- Why people should still come first, and technology second
- How MDM and AI can be used together to bridge gaps between business knowledge and data management
If you’d be interested in hearing more, or discussing your unique MDM and AI requirements, get in touch below to schedule a chat with our resident Amplifi MDM expert Catherine Cherry, Director – Master Data Management.
