By
Aaron Nicodemus2020-03-05T14:52:00
Some businesses—particularly in the global shipping industry—are hoping a provision contained in the fine print of many contracts can avert disastrous financial losses caused by the coronavirus outbreak.
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2020-04-29T19:45:00Z By Jaclyn Jaeger
The coronavirus pandemic has affected both the risk landscape and the diligence protocols for merger and acquisition transactions at every stage of the game. But while deal terms may be negotiable, what should be non-negotiable is the compliance function’s role in M&A transactions.
2025-12-17T20:09:00Z By Adrianne Appel
The 2025 year has been so rich with compliance stinkers, and rife with poor judgment, compliance missteps, outright malfeasance and greed, greed, greed, that it was almost impossible to choose just six epic compliance failures from this year’s massive poop pile.
2025-12-16T14:00:00Z Provided by Workiva
Join experts from KPMG, Cisco, and Workiva as they explore how audit, accounting, and finance professionals can leverage a technology mix of data analytics, gen AI, and other tools to ramp up efficiency and strengthen control effectiveness.
2025-11-20T21:55:00Z By Ruth Prickett
Geopolitical instability and a general focus on increasing growth and productivity by governments worldwide are causing a slew of regulatory changes in the financial services sector. But most firms are failing to identify potential compliance changes early enough to make meaningful decisions.
2025-11-05T20:28:00Z By Ruth Prickett
Insurance firms are warning that AI-washing could trigger a slew of cases against directors, and are adjusting their directors’ and officers’ liability premiums accordingly. With regulators cracking down on AI-washing, compliance could be a crucial line of defense and save companies on their insurance costs.
2025-10-24T18:57:00Z By Ruth Prickett
“Hallucinatory” citations and errors in an AI-assisted report produced by Deloitte for the Australian government should be a wake-up call for compliance officers about the risks of placing too much trust in AI.
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