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.
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.
Dubai has unveiled a new strategic plan aimed at integrating agentic AI technologies across its private sector. The initiative's primary goal is to enhance the emirate's global competitive edge and economic standing. This move encourages businesses within Dubai to adopt advanced autonomous AI systems to drive innovation and efficiency. Why it matters: This plan highlights Dubai's aggressive strategy to leverage cutting-edge AI for economic development and to position itself as a global leader in advanced AI adoption.
MBZUAI's Provost, Tim Baldwin, provides six predictions for AI in 2025, highlighting the rise of agentic AI systems capable of performing actions on behalf of users. He notes the recent release of open-weight reasoning models like DeepSeek's R1 and OpenAI's o3-mini, emphasizing the dynamic nature of the field. Baldwin stresses the potential benefits of agentic AI, such as automating complex tasks like travel planning, while also cautioning about the need for careful deployment due to unforeseen outcomes. Why it matters: The predictions provide insight into the near-term trajectory of AI development and deployment, particularly regarding AI agents, and highlights the role of a UAE university in shaping the discussion around AI innovation.
A new benchmark, LongShOTBench, is introduced for evaluating multimodal reasoning and tool use in long videos, featuring open-ended questions and diagnostic rubrics. The benchmark addresses the limitations of existing datasets by combining temporal length and multimodal richness, using human-validated samples. LongShOTAgent, an agentic system, is also presented for analyzing long videos, with both the benchmark and agent demonstrating the challenges faced by state-of-the-art MLLMs.