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Headline Issue Diary Date
NCR appeal against Lewis ruling dismissed 17 CompliNEWS 04 May 2018
UK parliament criticises insurance regulator for inflexible solvency requirements 17 CompliNEWS 04 May 2018
Deciphering blockchain and cryptocurrencies 17 CompliNEWS 04 May 2018
BDCE Staffing Solutions CC v Stober 2018 JDR 0219 (WCC) 17 CompliNEWS 04 May 2018
Speech on asset management and regulatory developments worldwide 17 CompliNEWS 04 May 2018
Blockchain: considering the risks to consumers and competition- speech by the UK's FCA 17 CompliNEWS 04 May 2018
Compliance tip: How to drive cultural change 17 CompliNEWS 04 May 2018
Amendments to Financial Sector Act address bank failure 17 CompliNEWS 04 May 2018
The new test for compliance officers and the new mantra – ethics and compliance 17 CompliNEWS 04 May 2018
Altaba, formerly known as Yahoo, charged and fined 17 CompliNEWS 04 May 2018
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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.

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