Agentic commerce leverages artificial intelligence agents to automate and personalize the buying experience for consumers, marking a significant shift in retail. This 'quiet revolution' is transforming traditional e-commerce by streamlining purchasing decisions and enhancing user convenience. The article likely discusses the implications and adoption of such AI-driven buying methods within the Middle East's consumer market. Why it matters: The integration of AI agents into commerce has the potential to reshape consumer expectations and business strategies across the GCC retail sector.
MBZUAI Provost Timothy Baldwin predicts that 2025 will be a breakout year for agentic AI, with 33% of enterprise software applications including agentic AI capabilities by 2028. MBZUAI doctoral students Wafa Alghallabi and Omkar Thawaker have launched Lawa.AI, an AI agent being tested on the university's website to provide faster answers and deeper understanding. Lawa.AI evolved from a research project in multimodal efficiency and LLMs and aims to bridge the gap between people and information in higher education and government. Why it matters: This highlights the UAE's focus on translating AI research into practical applications and the growing importance of agentic AI in various sectors.
InfiAgent is a new agent framework comparable to GPT4-Agent, developed by replicating Codex. It includes InfiCoder, an open-source model for text-to-code, code-to-code, and freeform code-related QA tasks. The framework focuses on data analysis and integrates an LLM with programming capabilities and a sandbox environment for executing Python code. Why it matters: This research demonstrates the potential for advancements in AI operating systems and highlights areas where current models like GPT-4V can be improved, contributing to the broader development of more capable and versatile AI agents.