Ready, set, data: Perfecting the art of talent matching with AI
summary
JobTarget and Rackspace describe building a cloud-native, event-driven pipeline on AWS that ingests millions of signals and moves the business from one million postings a month to over 800,000 a day, a claimed 11,000% capacity increase while revenue rises ~800% and legacy databases retire. The programmatic campaign builder drops from 18 hours to 18 minutes, using DynamoDB → EventBridge → Lambda, S3/Glue and a data mesh plan to resolve new silos. A FAIR incubator produces LLM tools for job descriptions and interview-question generation under a FAIR incubator secure landing zone.
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chapters (14)
- 0:00Introduction and agenda
- 1:05Speaker introductions
- 4:33JobTarget's legacy infrastructure challenges
- 8:05Partnership with Rackspace begins
- 10:38Learning cloud-native development together
- 12:43New event-driven architecture explained
- 16:20Massive growth and business impact
- 19:31Becoming a data-driven organization
- 24:30Data mesh strategy and challenges
- 27:46Moving beyond spreadsheets
- 28:06Generative AI opportunities ahead
- 30:16Rackspace's FAIR AI incubator
- 36:02AI demo for interview streamlining
- 39:12Rackspace offerings and booth info
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