Agentic AI in Banking: Five Reasons to use it and five reasons not to let it run alone
For banks, the real promise of agentic AI lies in resolving complex customer needs faster, without sacrificing control, accountability or trust.
INSIDE AI: Bias, Privacy and Trust: Another African AI Risk
Dawood Patel examines the risks of AI bias, privacy and trust in an African context, and why responsible data use and transparency are essential.
INSIDE AI: Don’t ban AI. Govern it.
Dawood Patel explains why banning AI can increase shadow AI risk, and why businesses need clear boundaries, use cases and governance to adopt AI safely.
INSIDE AI: Responsible AI is not philosophical, it’s operational
Dawood Patel explores what responsible AI means in practice, from data sovereignty and human oversight to governance, shadow AI and workforce impact. businesses need for successful AI implementation, from clear purpose and reliable data to the right teams and governance.
