State of AI

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.

The Zscaler ThreatLabz 2024 AI Security Report examines the rapid rise of AI/ML tool usage in enterprises, highlighting a near 600% increase in transactions between April 2023 and January 2024. The report details the top applications, industries, and countries driving this growth, alongside a significant increase in blocked transactions due to security concerns. It also explores the evolving threat landscape, focusing on AI-powered attacks like deepfakes and phishing, and the emergence of "dark chatbots." Finally, the report offers best practices for secure AI adoption and discusses current and future AI regulations in the US and EU.

Explore the transformative power of generative AI in the enterprise. This podcast examines the latest trends, challenges, and opportunities for businesses looking to leverage this game-changing technology. From security concerns to in-house solutions, we uncover key insights from a recent survey of enterprise leaders.

- Join us as we discuss the rapid adoption of generative AI across various business functions, including IT, customer support, security, and more. Discover how companies are using generative AI to increase efficiency, reduce costs, and improve customer satisfaction. We'll also examine the challenges of building in-house AI solutions and the importance of selecting the right commercial AI vendor.

- Get an inside look at the state of generative AI in 2024. This podcast features expert insights and real-world case studies, providing practical guidance for businesses looking to implement and scale their AI initiatives. Learn about the key security controls and data governance measures needed for successful AI adoption.Key takeaways from the source that informed the title and description recommendations:

- The source focuses on the impact of generative AI in the enterprise, particularly in 2024.

- It highlights the rapid adoption of generative AI, with 96% of companies expecting it to be a key enabler.

- The source emphasises the benefits of generative AI, such as increased efficiency, cost reduction, and improved customer satisfaction.

- It also addresses the challenges of building in-house AI solutions and the security and data protection concerns surrounding generative AI.

- The source provides insights into selecting commercial AI vendors, focusing on security controls, data governance, reliability, and private deployment options.These titles and descriptions are designed to be SEO-friendly by incorporating relevant keywords that potential listeners might use to search for information on generative AI and its impact on businesses. They also provide a clear and concise overview of the podcast's content, enticing listeners to tune in.

Generative AI is rapidly changing the way businesses operate. This podcast explores the latest trends in enterprise AI adoption, from code generation and chat-bots to AI-powered agents capable of managing complex tasks. Join us as we discuss real-world use cases, the evolving AI landscape, and the future of work in an AI-driven world.

This episode explores the findings of the 2024 State of Data + AI report, revealing how businesses are accelerating AI adoption, putting more ML models into production, and leveraging GenAI and NLP techniques to unlock valuable insights from their data. Discover how companies are customising LLMs with their own data using RAG and vector databases to build innovative applications and stay ahead of the curve.