Leveraging real time data & actionable insights for the financial sector
summary
Banks need to act in micro‑moments using streaming pipelines, ML and cloud+edge so decisions happen in seconds not days; IDC predicts 30% of the global data sphere will be real‑time by 2025 and streaming analytics jumps from $12.5B to $38.6B (25.2% CAGR), driving AI‑enabled retail and SME lifecycles: robo‑advisors, analytics‑based offers, automated credit and complaint workflows. Real‑time works for personalization and fraud alerts but struggles with wide aggregations and persistence, so hybrid real‑time/near‑real‑time plus tokenization/encryption and BYOK are recommended.
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chapters (10)
- 0:00Introduction
- 5:15What is realtime data
- 8:35Near realtime data
- 13:53Realtime data
- 17:38Automating business processes
- 19:05Leveraging customer data
- 20:02Hyper personalization
- 25:18AI enabled life cycle
- 28:31Hybrid architectures
- 29:51QA
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