公式動画ピックアップ

AAPL   ADBE   ADSK   AIG   AMGN   AMZN   BABA   BAC   BL   BOX   C   CHGG   CLDR   COKE   COUP   CRM   CROX   DDOG   DELL   DIS   DOCU   DOMO   ESTC   F   FIVN   GILD   GRUB   GS   GSK   H   HD   HON   HPE   HSBC   IBM   INST   INTC   INTU   IRBT   JCOM   JNJ   JPM   LLY   LMT   M   MA   MCD   MDB   MGM   MMM   MSFT   MSI   NCR   NEM   NEWR   NFLX   NKE   NOW   NTNX   NVDA   NYT   OKTA   ORCL   PD   PG   PLAN   PS   RHT   RNG   SAP   SBUX   SHOP   SMAR   SPLK   SQ   TDOC   TEAM   TSLA   TWOU   TWTR   TXN   UA   UAL   UL   UTX   V   VEEV   VZ   WDAY   WFC   WK   WMT   WORK   YELP   ZEN   ZM   ZS   ZUO  

  公式動画&関連する動画 [The Future of Payments: Canonical JSON Models + Agentic AI Explained]

Try MongoDB 8.0 → https://mdb.link/BOAmlTSlU2w-canonical-json Sign-up for a free cluster → https://mdb.link/BOAmlTSlU2w-canonical-cluster Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Traditional financial messaging standards like ISO 2022 and UPI have often revealed the underlying complexities and fragmentation within banking systems rather than solving them. This video explores why true modernization isn't just about changing message formats, but about creating a shared, technology-agnostic foundation. Learn how a canonical JSON model serves as a single source of truth, preserving business context across the entire payment lifecycle. We dive into the practical application of agentic AI, demonstrating how AI agents—powered by MongoDB Atlas—can autonomously detect and resolve payment errors, such as script mismatches in international transfers. Discover an architecture that moves beyond rigid schemas to support continuous change and real-time scalability in the global financial landscape. 00:00:00 The $100 Billion Failed Payment Problem 00:01:12 Why Messaging Standards Revealed System Gaps 00:01:40 The Rise of the Canonical Payment Model 00:02:21 Why JSON is the Practical Standard for Scale 00:02:47 Preparing Data Foundations for agentic AI 00:03:29 Why MongoDB Atlas for Modern Payment Rails 00:04:15 Live Demo: Intelligent Architecture Overview 00:04:46 Autonomous Error Resolution in Action 00:06:00 Human-in-the-Loop & Compliance Workflows 00:07:06 Conclusion: Moving Beyond Format Changes Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog
 98      6