Close This website uses modern features that are not supported by your browser. Click here for more information.
Please upgrade to a modern browser to view this website properly.

Financial Services Intelligence Watch

Open-Source Library

Newsletters

Stories

Advanced Search

Search

Title

Filter

Topic

Filter

Diary

Filter

Industry categories

Filter

Headline	Issue	Diary	Date
UK regulator spells out the next to-do's on Brexit	57	CompliNEWS	04 Feb 2019
CMS on adjustment of fees payable to brokers wef 1 January 2019	57	CompliNEWS	04 Feb 2019
Low-cost medical scheme options in March 2019	57	CompliNEWS	04 Feb 2019
Approved amendments to the A2X trading rules and listing requirements	57	CompliNEWS	04 Feb 2019
Insurance (LT and ST) Notice 1 of 2019 – CBRs and transitional period extension	57	CompliNEWS	04 Feb 2019
SARB outlines innovation facilitator plans	57	CompliNEWS	04 Feb 2019
Financial Matters Amendment Bill hearings	57	CompliNEWS	04 Feb 2019
SA’s position ‘stable’ on 2018 corruption index	56	CompliNEWS	29 Jan 2019
Serial Ponzi schemers ripped off 3 000 investors	56	CompliNEWS	29 Jan 2019
FSCA appoints new executives	56	CompliNEWS	29 Jan 2019

First Previous 1262 1263 1264 1265 1266 Next Last

Working Smart

By Lee Rossini

Although still in its infancy, the term agentic AI is being heard more frequently. It refers to AI that can act autonomously to achieve goals, make decisions, and adapt to changing environments with minimal human intervention. Unlike traditional AI models that respond only to direct prompts, agentic AI systems are designed with a sense of 'agency': they can plan, execute multi-step tasks, interact with other systems, and learn from outcomes. These systems often combine reasoning, memory, and tool usage, enabling them to operate more like digital collaborators than passive tools.