This document explores the implications of generative AI (GenAI) for organisations, focusing on the crucial role of robust content management and governance. It highlights the transformative potential of GenAI for productivity but also underscores associated risks, including data breaches, bias, and regulatory non-compliance. The text advocates for a strong AI governance framework built upon secure and well-managed content, using OpenText Content Aviator as an example of a system that integrates GenAI with content management to mitigate these risks. The importance of accurate "grounding data," prompt engineering, and context management are stressed to ensure trustworthy and accurate GenAI outputs. Finally, the emerging regulatory landscape surrounding AI is discussed, emphasising the need for compliance.

This BlackRock Investment Institute report examines the economic and investment implications of artificial intelligence (AI). It analyses AI's three-phase evolution—buildout, adoption, and transformation—projecting massive infrastructure investment and potential productivity gains but acknowledging significant uncertainties. The report compares the current AI boom to the dot-com bubble, arguing key differences exist, and suggests investment opportunities across the AI tech stack and private markets. Finally, it outlines potential risks, such as inflation from rapid adoption and regulatory challenges.

These white papers detail China's progress and challenges in artificial intelligence (AI) standardisation. The first examines AI's history, key technologies (machine learning, computer vision, natural language processing), and proposes a comprehensive standardisation framework for its burgeoning AI industry, highlighting successful applications. The second (2021 edition) focuses on the current state of AI development in China, identifying shortcomings in underlying technologies and data management, while advocating for accelerated integration with the real economy and further standardisation efforts, illustrating this with case studies of AI applications in diverse sectors.