Nov. 2, 2025 /Mpelembe Media/ — AI agents are primarily used in specialised applications designed to act alongside humans within specific fields and manage complex business processes, often forming the basis of “artificial specialised intelligence” (ASI). Continue reading
Nov. 2, 2025 /Mpelembe Media/ — An article from The Economist titled “OpenAI and Anthropic v app developers: tech’s Cronos syndrome,” examines the emerging competitive dynamic between large language model (LLM) providers, such as OpenAI and Anthropic, and the specialised AI application developers that build their businesses atop these models. The article uses the metaphor of Cronos devouring his children to illustrate the fear that the powerful, highly-valued AI labs may eventually usurp the profits of the smaller app-makers like Cursor and Harvey. Continue reading
Nov. 1, 2025 /Mpelembe Media/ — Google Cloud announced major updates to the Google AI Studio platform, focusing on making app development faster and more accessible. The Google Cloud introduces “Vibe coding,” a new feature designed to allow users to build working, AI-powered prototypes simply from a single text prompt, dramatically reducing the time required compared to traditional methods. Continue reading
Oct. 31, 2025 /Mpelembe Mdia/ — This is an overview of Gemini Enterprise, a platform designed to integrate Google AI capabilities into enterprise workflows. This secure platform aims to overcome limitations imposed by siloed applications by empowering employees to discover, create, share, and run AI Agents. Continue reading
The analysis, which examined over ten thousand job postings, found a surprisingly low demand for AI-ready workers, with only 11 per cent of positions mentioning AI, suggesting a potential disconnect between corporate AI ambition and practical implementation. Furthermore, the report highlights an expensive “fire-to-hire cycle” among these top companies, noting that mass layoffs are prevalent but do not appear to be primarily aimed at building a more AI-ready workforce. The source includes commentary from Orgvue’s Chief Product Officer, Jessica Modrall, who asserts that while AI will transform the workforce, many organizations are mistakenly assuming it will simply replace staff. Continue reading
Oct. 30, 2025 /Mpelembe Media/ — AI Agents are autonomous software systems that use Artificial Intelligence (AI) to perceive their environment, reason, plan, and execute actions to achieve a specific goal on behalf of a user, often without continuous human oversight. They essentially act as intelligent, goal-driven software robots. Continue reading
Oct. 29, 2025 /Mpelembe Media/ — The Google Workspace guide details the integration and benefits of Artificial Intelligence (AI) across its suite of work applications. It asserts that Google is leading AI innovation and helping organisations enhance human potential through features built for security and scale. Continue reading
Oct. 29, 2025 /Mpelembe Media/ — This document provides a comprehensive technical guide for startups and developers focused on building, deploying, and scaling AI agents on the Google Cloud ecosystem. It details the core components of agentic systems, including model selection, the use of tools for action, and various data architectures for agent memory. Continue reading
Oct. 29, 2025 /Mpelembe Media/ –The strategic imperatives that define success for technology leaders navigating the AI-powered, hyperconnected world are captured within the three themes of the Gartner Top 10 Strategic Technology Trends for 2026. These trends are considered strategic imperatives that demand thoughtful consideration and decisive action from technology leaders. Continue reading
This document addresses the growing complexity of research computing at universities and how many institutions lack the necessary tools and governance to align IT capabilities with faculty research goals. The advisory firm outlines a four-phase strategic approach for higher education IT leaders to evaluate their systems, translate findings into actionable initiatives using the MoSCoW method for prioritisation, and ultimately strengthen research outcomes by better supporting faculty. The resource aims to help institutions overcome issues like fragmented systems and funding challenges by providing a structured framework for improving research IT maturity. Continue reading