Posts

For agentic AI to take off, we need to build robust governance systems that will drive trust in these systems. Open standards are an important part of this.

Prepare for the AI-Driven Revolution in How We Work with Information

Abstract

There is no doubt that we are now in the midst of an AI-driven revolution in how organisations and their employees work with information. The power of recent GenAI and other deep learning technologies to absorb and process massive amounts of data as well as generate new information in response to natural language prompts has obvious implications for knowledge work. The current developments in more autonomous agentic AI systems alongside the commodification of large language models (LLMs) and reduced barriers to entry for application developers will drive a second wave of innovation over the coming five years. This will cause disruption for many organisations and the workers within them, but such changes seem inevitable. Preparing now to work with these technologies and the opportunities they present as well as mitigate the problems they bring is essential. The opportunities for many information professionals are significant as effectively managing data assets holds the key to competitive advantage in this rapidly changing environment. Here Dr Martin De Saulles, a technology analyst and writer (see page 123 for a review on his new book The AI and Data Revolution: Understanding the New Data Landscape), goes through some of the key points relating to the evolution of AI in relation to those who work with information.

Increasing digital footprints demand improved reporting tools

Thinking about security and model context protocol (MCP)

My thoughts published in CIO on security issues that developers and deployers of model context protocol (MCP) need to take into account.