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Autonomous Banking and AI-Driven Financial Services
June 25, 2026
Jadwal Pelatihan Autonomous Banking and AI-Driven Financial Services
| Tanggal | Tempat | Kota | | 22 - 23 Juli 2026 | - | Yogyakarta |
Training Autonomous Banking and AI-Driven Financial Services
DESKRIPSI Training Autonomous Banking and AI-Driven Financial Services
Perkembangan Artificial Intelligence (AI), Machine Learning, Generative AI, dan teknologi otomatisasi telah mendorong transformasi besar dalam industri perbankan dan jasa keuangan. Bank tidak lagi hanya mengandalkan proses operasional konvensional, tetapi mulai mengembangkan layanan yang mampu bekerja secara otomatis, cerdas, prediktif, dan berbasis data secara real-time. Konsep Autonomous Banking muncul sebagai evolusi berikutnya dari digital banking, di mana berbagai proses bisnis, pengambilan keputusan, manajemen risiko, layanan nasabah, hingga operasional internal dapat dijalankan secara otomatis dengan dukungan teknologi AI.
Penerapan AI-Driven Financial Services memungkinkan institusi keuangan meningkatkan efisiensi operasional, mempercepat pengambilan keputusan, memperkuat pengelolaan risiko, meningkatkan pengalaman nasabah, serta menciptakan model bisnis baru yang lebih adaptif terhadap kebutuhan pasar. Namun demikian, implementasi teknologi ini juga memerlukan pemahaman mengenai tata kelola AI, keamanan data, kepatuhan regulasi, dan pengelolaan risiko teknologi yang efektif.
TUJUAN Training Autonomous Banking and AI-Driven Financial Services
- Memahami konsep Autonomous Banking dan AI-Driven Financial Services.
- Mengidentifikasi peluang transformasi bisnis melalui pemanfaatan AI.
- Memahami penerapan AI dalam operasional, layanan nasabah, dan manajemen risiko.
- Mengembangkan strategi implementasi layanan keuangan berbasis AI.
- Memahami penggunaan Generative AI dalam industri perbankan.
- Mengelola risiko, keamanan, dan tata kelola AI dalam organisasi.
- Meningkatkan efisiensi operasional melalui intelligent automation.
- Mengembangkan model bisnis perbankan berbasis data dan AI.
- Menyusun roadmap transformasi menuju autonomous banking.
- Meningkatkan daya saing organisasi dalam era ekonomi digital dan AI.
- Introduction to Autonomous Banking
- Evolusi industri perbankan digital
- Konsep Autonomous Banking
- Future of Banking Services
- Peran AI dalam transformasi perbankan
- Autonomous enterprise framework
- Artificial Intelligence for Financial Services
- Fundamental Artificial Intelligence
- Machine Learning dan Deep Learning
- Natural Language Processing (NLP)
- Predictive Analytics
- Intelligent Decision Systems
- Generative AI in Banking
- Konsep Generative AI
- Large Language Models (LLM)
- AI-powered financial assistant
- Knowledge management automation
- Generative AI use cases dalam perbankan
- Intelligent Customer Experience
- Hyper-personalization
- AI-driven customer engagement
- Intelligent virtual assistant
- Conversational banking
- Customer behavior analytics
- Autonomous Credit and Lending Operations
- AI-based credit scoring
- Automated underwriting
- Predictive lending analytics
- Loan approval automation
- Explainable AI dalam kredit
- AI-Powered Risk Management
- Risk analytics berbasis AI
- Early warning system
- Predictive risk monitoring
- Credit risk intelligence
- Enterprise risk automation
- Fraud Detection and Financial Crime Prevention
- AI untuk fraud detection
- Anti-Money Laundering (AML) analytics
- Transaction monitoring automation
- Anomaly detection
- Real-time fraud prevention
- Intelligent Operations and Process Automation
- Robotic Process Automation (RPA)
- Hyperautomation
- Intelligent workflow management
- Process mining
- Operational efficiency optimization
- Autonomous Treasury and Financial Management
- AI untuk cash flow forecasting
- Liquidity management automation
- Treasury analytics
- Investment decision support
- Financial planning intelligence
- Data Strategy and AI Infrastructure
- Data governance framework
- Data quality management
- AI platform architecture
- Cloud and hybrid infrastructure
- Real-time data ecosystem
- AI Governance, Ethics and Regulatory Compliance
- Responsible AI framework
- AI governance model
- Ethical AI implementation
- Regulatory compliance
- Model risk management
- Cybersecurity for AI-Driven Banking
- AI security risks
- Data privacy and protection
- Cyber resilience
- Threat intelligence
- Secure AI deployment
- Building the Autonomous Banking Roadmap
- Digital transformation strategy
- AI maturity assessment
- Capability development
- Organizational readiness
- Investment and implementation planning
- Strategic Workshop and Action Plan
- Identifikasi peluang implementasi AI
- Penyusunan roadmap Autonomous Banking
- Analisis kesiapan organisasi
- Pengembangan inisiatif strategis
- Penyusunan action plan implementasi di organisasi
