By implementing structured frameworks such as AI agents, integrating structured prompts, and incorporating human interaction patterns and guardrails, businesses can navigate LLMs' creative potential while ensuring reliability.

AI has the potential to help address societal problems like climate change, but challenges like high energy consumption threaten to negate its benefits.

Quality and integrity have become pressing issues as more companies rely on data to support better decisions. From governance to best practices, what should businesses consider in the race to stay ahead?

How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.

Deep underlying regularities in AI reveal predictable trends, empowering informed decision-making.

Focusing on user experiences and making them seamless is our biggest driver, says Abdallah Abu-Sheikh, Founder of Astra Tech & CEO of Botim.

Machine learning solutions can miss the mark when data scientists don’t check their assumptions. Adopting a beginner’s mindset in any domain can help.

The NextTech Summit 2024 focused on practical applications of advanced AI, its transformative potential and highlighted the importance of safety and collaboration in leading with emerging technologies.

As MENA enterprises look to profit from advances in artificial intelligence, demand for trusted, secure data has intensified. How can organizations prioritize data integrity and transparency to unlock AI's full potential?

Experts discuss the challenges and opportunities associated with positioning this technology and the critical role of human oversight and education.