Category Archives: Technology

02Nov/25

How to use Gemini Command Line Interface (CLI)

November 2, 2025Developers.google, Chatbots, Command-line interface, Gemini, Generative artificial intelligence, Google AI Studio, Google DeepMind, In artificial intelligence, Large language models, Model Context Protocol, Shelladmin

Nov. 2, 2025 /Mpelembe Media/ — The Gemini Command Line Interface (CLI) is an open-source AI agent that allows you to access Gemini directly from your terminal. It uses a “reason and act” (ReAct) loop with built-in tools and local or remote Model Context Protocol (MCP) servers to handle complex tasks like fixing bugs, creating new features, and improving test coverage. Beyond coding, it’s a versatile tool for content generation, problem-solving, research, and task management. Continue reading →

02Nov/25

AI Classification for Google Drive Security

November 2, 2025InnovationAI Data Index, Artificial intelligence, Artificial intelligence in India, Cybernetics, Google Drive, Google Workspace, Machine learningadmin

Nov. 2, 2025 /Mpelembe Media/ — The white paper from Google outlines their AI Classification for Google Drive solution, which uses custom, privacy-preserving AI models to automatically identify and label an organisation’s sensitive data at scale. The document explains that this capability addresses the challenge of manually classifying the exponentially increasing volume of data in Google Workspace, providing a more robust foundation for data protection, auditing, and records management. Continue reading →

02Nov/25

What are AI agents used for?

November 2, 2025DevelopersAgentic AI, Artificial intelligence, Computational neuroscience, Cybernetics, Data science, Intelligent agentadmin

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 →

01Nov/25

Google AI Studio: Vibe Coding Innovation

November 1, 2025Innovation.google, Alphabet Inc., Artificial intelligence, Chatbots, Gemini, Generative artificial intelligence, Google AI, Google Search, In artificial intelligence, Multimodal interaction, Vibe coding, Websimadmin

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 →

31Oct/25

Gemini Enterprise: Empowering Workflows with Google AI Agents

October 31, 2025Innovation.google, Acceldata, AI agent, AI Mode, Artificial intelligence, Carto, Chatbots, Gemini, Gemini Enterprise, Google AI Mode, In artificial intelligence, Intelligent agent, Multimodal interaction, Nano Bananaadmin

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 →

30Oct/25

AI Agents and the Human-AI Collaborative Intelligence

October 30, 2025DevelopersAI agent, AI alignment, AI code agents, AI safety, Artificial general intelligence, Artificial intelligence, Computational neuroscience, Corner, Cybernetics, Data science, Deep learning, Generative artificial intelligence, Intelligent agent, Large language model, Salesforceadmin

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 →

30Oct/25

Google Workspace: A Guide for Using AI at Work

October 30, 2025InnovationAI software, Alphabet Inc., Artificial intelligence, Cross-platform software, Gemini, Generative artificial intelligence, Gmail, Google Docs, Google Docs Editors, Google Sheets, Google Vids, Google Workspace, Web applicationsadmin

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 →

29Oct/25

Startup Technical Guide: Building AI Agents on Google Cloud

October 29, 2025InnovationADK, Artificial intelligence, Intelligent agentadmin

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 →

29Oct/25

Gartner’s Top 10 Strategic Technology Trends for 2026

October 29, 2025Technology4, 9, AI boom, AI safety, Applications of artificial intelligence, Artificial intelligence, Artificial intelligence in healthcare, Artificial intelligence in India, Computational neuroscience, Cybernetics, Deep learning, Generative artificial intelligence, Machine learningadmin

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 →

29Oct/25

Aligning University IT with Research Faculty Needs

October 29, 2025TechnologyArtificial intelligence, Computational neuroscience, Cybernetics, Data scienceadmin

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