Conversational AI has transformed IT support over the last few years. Chatbots and voice bots can now handle routine requests, guide users, and provide relevant responses. But the next frontier is far more ambitious: turning conversation into actionable solutions.
AI is no longer just a tool we use but becoming an extension of our senses. From smart glasses that see and interpret the world, to AI hardware that translate conversations in real time, to intelligent agents that take action for us — the next wave of AI won’t live in your apps, but alongside you.
What if your AI assistant could browse the web, compare deals, book tickets, and fill forms just like a human—without needing APIs or custom integrations? That’s the promise of the Open Agentic Web. In this post, I explore what it is, why it’s different, and how emerging technologies like NLWeb and MCP are making it real.
Artificial Intelligence (AI) has ability to solve complex problems, generate creative content, and engage in logical discussions. Recent advancement of AI Models like OpenAI o1 and o3, DeepSeek R1, and Google Gemini 2.0 have given them reasoning capabilities. But can they actually "reason" like humans? This article explores the inner workings of these advanced AI models … Continue reading Exploring AI Reasoning: Do Modern AI Systems Actually Think?
Scaling up in AI involves increasing the size and power of AI models to improve their performance. This process relies on vast amounts of training data, a growing number of model parameters, and significant computational resources. While it has led to impressive advancements, it also brings challenges like environmental impact, accessibility, and ethical concerns. Hello … Continue reading AI Advancements: Skyrocketing Speed of Improvement and Innovation