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Ben Goertzel, touted as the father of Artificial General Intelligence (AGI), says AGI could arrive sooner than many expect. He has become increasingly optimistic about it after witnessing the recent surge in AI agents and agentic AI.
Conversational AI is the technology that lets machines understand, process, and respond in human language. Generative AI agents, AI chatbots, and speech recognition software are all common examples of conversational AI. However, it is important to understand how it works, its benefits, challenges, and more to implement and scale these artificial intelligence chat solutions efficiently.
The future of self-driving cars promises safer roads with LiDAR technology. But Level 5 autonomy is still a distant future, as most autonomous vehicles currently running on the road are only up to Level 2 or Level 3, while Waymo’s robotaxis run at Level 4.
The environmental impact of generative AI is a result of the backend processing these systems do to generate a desired output. Energy and water consumption are high, and the electronic waste generated is difficult to decompose.
Agentic AI readiness assessment is essential to determine if an organization is ready to deploy artificial intelligence agents and to ensure they can scale them for sustained success. Since these systems communicate with each other to automate complex tasks, the data, infrastructure, governance, and workforce should be aligned for agentic AI implementation. But most companies are not ready for that yet.
The retail industry is using artificial intelligence in consumer experiences, demand forecasting, merchandising, inventory management, waste reduction, and much more. The use of AI in retail is allowing businesses, both small and big, to not just attract customers but also ensure that they leave happy and return again.
The FIFA World Cup 2026 management is using artificial intelligence (AI) for everything, from officiating and team balancing to stadium security and broadcasting.
The difference between agentic AI vs. AI agents at the base level is whether it is a single software system or a group of them working independently toward a specific goal. A single system is an AI agent, and a collection of those becomes agentic AI. But there’s more to agentic AI vs. AI agents.