AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied. Written by Joe McKendrick, Contributing Writer July 7, 2025 at 1:04 a.m. PT ...

Also: The AI complexity paradox: More productivity, more responsibilities. One surprising outcome is that AI might end up making the most critical functions of banking, ...

Key Takeaways AI boosts productivity only when thoughtfully integrated. Poor implementation can add more chaos than ...

The enterprise suite introduces four key AI agents – finance, payments, accounting and project management – each designed to ...

Using realistic testing environments enables organizations to build the confidence needed to deploy agents safely and ...

The White House's new artificial intelligence strategy document advocated rapid implementation of AI, while failing to ...

AI’s potential is undeniable, promising enhanced efficiency and data-driven insights. However, its dual nature as both innovator and potential liability underscores the complexity of integrating it ...

As organisations race to build resilience and agility, business intelligence is evolving into an AI-powered, forward-looking ...

The 2023 ASUG Pulse of the SAP Customer survey shows a customer base fully aware of the challenges, despite the paradox of having to endure more complexity in order to ultimately reduce it.