AI will not fix a broken data foundation. Fix the foundation first. I sat down with Richard Ganley, SVP, Global Partners at Informatica, to unpack a simple blueprint for AI-ready data modernization on The Ravit Show!!!!
What we covered --
• Why modernization is now urgent: legacy stacks create scattered data, hand-coded pipelines, high cost, and low trust in reports
• The goal state: a unified, automated platform where data is discoverable, governed, and trusted so teams move faster and spend less
• Why partners matter: 650 active partners. 35% of new business is partner-sourced. Partners are involved in about 90% of opportunities
How the work gets done --
• Partner accelerators scan thousands of legacy jobs, map dependencies, and automate code conversion to modern Informatica mappings
• LTIMindtree’s IRX is a good example. Plan with automated analysis. Execute with 60–70% automated conversion. Validate with automated testing. Less manual effort. Fewer errors. Predictable timelines
Proof it works
• Statewide healthcare provider: 70% automation in migration, 30% less effort, 3x cost savings after decommissioning legacy and moving to cloud
• Global financial services firm: regulatory reporting time cut from weeks to days, data quality score up 40% in year one, millions saved by reducing manual reconciliation and risk
If you are staring at a complex legacy environment and want a clear path to AI-ready, this conversation will help. Watch the full interview on The Ravit Show.
#data #ai #dataquality #informatica #theravitshow
