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DTSTAMP:20261020T151709Z
DTSTART:20261104T220000Z
DTEND:20261104T223000Z
SUMMARY:From Real-Time Game Data to Autonomous AI Risk Decisions: Confluent
  + Orchestrate + IBM Bob
LOCATION:Innovation Theater
DESCRIPTION:Lucas Fernandez\n\nDiscover how Confluent Cloud (Kafka & Apache
  Flink)\, IBM watsonx Orchestrate\, and IBM connect real-time data streams
  to autonomous AI agents. Using a live risk and compliance scenario (gamin
 g fraud detection)\, this introductory session shows how business and tech
 nical teams can automate critical decisions—from fraud prevention to ope
 rational workflows—with enterprise governance and human-in-the-loop cont
 rols. This presentation showcases how gaming operators can stream live pla
 yer session data — including logins\, game selections\, and session leng
 ths — into Confluent to power real-time AI agents that detect problem ga
 mbling signals\, flag potential fraud\, & offer compliance teams real-time
  decision making tools. The scenario will utilize IBM Bob to build\, watso
 nx Orchestrate to govern/manage autonomous AI agents\, and Confluent Cloud
  to ensure real-time data streams are appropriately sync with said agents.
  By attending this session\, your contact information may be shared with t
 he sponsor for relevant follow up for this event only.
URL:https://sf26.rmoff.net/s/from-real-time-game-data-to-autonomous-ai-risk
 -decisions-215
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