Artificial intelligence
From ACT Wiki
Jump to navigationJump to search
(AI).
Artificial intelligence is the robotic technology that enables computer systems to perform tasks that previously required human intelligence.
Examples include making decisions and recognising speech.
- Treasurers have a unique opportunity
- "Artificial intelligence (AI) has been a transformative force in finance for decades, evolving from automating rule-based tasks like reconciliation to enabling complex statistical modelling for market prediction, risk assessment, dynamic pricing and fraud detection.
- Today, as AI continues to mature, treasurers have a unique opportunity to thoughtfully integrate AI into their operations, unlocking greater efficiency and deeper insights in an increasingly data-driven world.
- ... the emergence of generative AI (GenAI) and large language models (LLMs) have revolutionised the field, making AI accessible to non-technical users.
- This shift has sparked interest in corporate treasuries, which have traditionally been slower to adopt AI in their operations."
- Getting AI right - Nishchay Nagpal - The Treasurer online - 14 February 2025.
- Every individual must now be at the forefront of AI
- "Hashir Abdul Rahim, Head of Digital Products, Markets & Securities Services, HSBC spoke to the broader impact of technology in today’s world and the pace-change of the impact as a technology matures – slow at first and massive impact after attaining a certain level of maturity.
- He explained that we see this happening with AI now, which has been around for 50 years, but is suddenly in the mainstream with everyone now being an AI user.
- With the advent of such technologies including quantum computing, every organisation, every individual must be at the forefront, educating themselves and their organisations at the very least on how a new technology can impact their respective businesses."
- Reflections from the ACT member event in Singapore - 19 September 2024.
- Data quality and refresh rates
- "While AI opens up numerous opportunities for improvement, treasurers may need to overcome various obstacles along the way, including algorithmic limitations, incomplete data, resistance to change within the organisation, and challenges around the ability to interpret results.
- “As in any technological implementation, it is data quality and availability that are key, along with high refresh rates,” says Carl Sharman, a partner in Deloitte’s performance improvement practice.
- “High quality outputs can only be generated through high quality inputs, and integration with the organisation's existing data sources is critical.”"
- AI in cash management: what is the smart move? - The Treasurer online - 25 October 2023.
See also
- AI
- Algorithm
- Artificial Intelligence Management System (AIMS)
- Artificial super-intelligence (ASI)
- Augmented reality
- ChatGPT
- Data
- Deep learning
- Deepfake
- Fourth industrial revolution
- Generative AI (GenAI)
- Generative pre-trained transformer (GPT)
- Google Gemini
- Hallucination
- HLEG
- Human-in-the-loop
- Information technology
- Internet of Things
- ISO 42001
- Machine learning
- Quantum computing
- Refresh rate
- Robot tax
- Robotic process automation
- Robotics
- Software robot
- Supervised learning
- Technological singularity
- Tokenise
- Unsupervised learning
