johnwilson

By 2026, the artificial intelligence landscape has undergone a profound structural transformation. The "Generative Era" that dominated 2023 and 2024, characterized by humans prompting models to produce text or images, has matured into the "Agentic Era." While the terms are often used interchangeably in casual tech circles, the distinction between  Generative AI (GenAI)  and  Agentic AI  represents a fundamental shift from  content creation  to  task execution . Understanding these differences is no longer just a technical requirement; it is a strategic imperative for any organization looking to scale in a machine-first economy. 1. Defining the Paradigms: Content vs. Action Generative AI: The Master Communicator Generative AI refers to models designed to create new content. Whether it is a Large Language Model (LLM) producing a legal brief or a diffusion model generating a 60-second video, the primary output of GenAI is  information . In 2026, GenA...

In 2026, the global supply chain has moved past the era of "predictive insights" and entered the era of "autonomous action." While the previous decade focused on gathering data, the current challenge is orchestration, synchronizing thousands of moving parts across fragmented global networks. At the heart of this shift is  Agentic AI . Unlike traditional AI, which requires human prompts to function, Agentic AI uses a "sense-plan-act" loop to pursue goals independently. In this blog, we explore how these intelligent agents are redefining supply chain orchestration and what it means for the future of global commerce. From Passive Analytics to Active Orchestration For years, Supply Chain Orchestration (SCO) was a manual balancing act. Managers had to reconcile data from ERPs, warehouse systems, and logistics providers to make decisions. Agentic AI changes the game by acting as a  digital operator  rather than just a dashboard. 1. Self-Healing Supply Networks T...

Odoo is a powerhouse when it comes to open-source ERP platforms, but even the most flexible systems can face performance hiccups especially as your business scales. That’s where Run-Odoo Brain AI steps in: a revolutionary approach to improving the performance, automation, and intelligence of your Odoo instance using the capabilities of artificial intelligence. From predictive optimization to smart debugging, this new AI-driven layer is transforming how businesses manage their Odoo environments. Let’s explore how AI is not just enhancing Odoo but reshaping the ERP experience altogether. The Problem: When Odoo Starts Slowing Down While Odoo offers immense modularity, performance issues are common in: Large databases with thousands of records Poorly optimized workflows or queries Complex module interdependencies Inefficient customizations Sluggish loading times, delayed workflows, and database bottlenecks aren’t just annoying they affect business outcomes, customer satisfaction, and team...