AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied. The AI complexity paradox: More productivity, more responsibilities | ZDNET ...

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 ...

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

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, ...

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

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 ...

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.