2026年,印度金融部门向AI驱动的决策迈进,通过实时、个性化的客户参与提升业绩。 In 2026, India’s financial sector advances to AI-driven decision-making, boosting performance through real-time, personalized customer engagement.

印度金融服务部门正从实验性人工智能使用转向2026年的操作性人工智能,从静态建议转向自主、实时决策。 India’s financial services sector is shifting from experimental AI use to operational Agentic AI in 2026, moving beyond static recommendations to autonomous, real-time decision-making. 尽管人工智能被广泛采用,但在2025年收入增长平稳之后,利用人工智能实现智能,个性化的客户参与 - - 通过统一数据,意图驱动的体验和旅程编排 - - 的机构正在看到转化率和投资回报率的提高. After flat revenue growth in 2025 despite widespread AI adoption, institutions leveraging AI for intelligent, personalized customer engagement—through unified data, intent-driven experiences, and journey orchestration—are seeing improved conversions and ROI. 早期采用者报告业绩较强,表明由AI驱动的行动、建立信任和激活将确定竞争优势。 Early adopters report stronger performance, signaling that AI-driven action, trust-building, and activation will define competitive advantage.