Digital payments to hit $20.09tn by 2025 with 13.63% growth. Mobile payments will be 79% of transactions. Stablecoins processed $24tn in 2024, easing global transactions.

This paper found that agentic AI can slash costs, speed up product releases, and create high-value jobs. It's about using AI smartly, not just automating tasks.

This paper found AI in insurance can boost efficiency by 10-40%, cut onboarding costs, and improve claims accuracy by 3-5%. Leaders make 6x the returns of laggards.

Digital transformation and AI in financial services enhance customer personalization, with data analytics boosting retention by 78%. Open banking users grow 50% annually.

Digital transformation spending to hit $2.3 trillion in 2023, growing 19.1% annually. Key for competitive edge, focusing on tech, data, customer-centric processes, and skilled workforce.

Insurance in 2030 will use AI for real-time pricing and claims. Devices will flood insurers with data. Expect faster, automated processes and tailored user experiences.

This paper discusses the evaluation of large language models in accordance with specific corporate and regulatory policies.

TeaRAG enhances retrieval-augmented generation for LLMs by improving efficiency while maintaining accuracy.

NVIDIA Nemotron Nano V2 VL is a small, efficient language model tailored for edge and on-device scenarios. It balances accuracy and latency, enabling financial institutions to run AI workloads securely and cost-effectively without relying on large cloud models.

LiveStar enhances real-time video understanding for live streaming applications.

The report outlines a framework for improving LLM reliability in high-stakes financial decisions.

A longer summary here that is at least 120 characters long, describing the enterprise deep research multi-agent system and its capabilities.

Introduces FinRpt, an open-source benchmark for automating Equity Research Report generation. Addresses data scarcity in financial tasks.

This paper explores the emergence of behavioral self-awareness in LLMs and its implications for safety and evaluation.

A novel safety response framework for LLMs addressing security issues in critical domains.

The AIA Forecaster is an AI-based system for judgmental forecasting using unstructured data, relevant for financial decision-making.

This paper reviews the construct validity of LLM benchmarks to ensure effective evaluation of safety and robustness in language models.

This study explores how agent-based simulations can model responses to misinformation using large language models.