Browsing: Business & Startups

Off late, I’ve been wondering if I really need paid subscriptions to ChatGPT or Claude anymore. China has been rolling out one impressive LLM after another, and the latest, GLM 4.6, is being hailed as one of the best yet. This model rivals Claude 4.5 Sonnet in coding and matches GPT-5 and Gemini 2.5 Pro in text generation and reasoning. And here’s the kicker: while the big tech players charge anywhere between $10 to $30 per month for similar features, GLM 4.6 gives you access to all of it for free. In this post, we’ll explore GLM 4.6, how to access it, its features, performance benchmarks, and a hands-on test on…

Artificial intelligence(AI) projects are becoming commonplace for big business and entrepreneurs alike. As a result many people with no prior experience with AI are now being put in charge of AI projects. Almost 5 years ago that happened to me for the first time and I’ve since learned a lot. So here’s six things I wish I had known, when I did my first AI project.1. Data is the most expensive partAI is often talked about as being technically very difficult requiring extensive resources to develop. But in fact that’s not the complete truth. The development can be costly but…

The healthcare industry has been grappling with financial constraints for years, prompting companies to seek cost-saving measures. Despite these efforts, data reveals substantial wasteful spending. According to the Institute of Medicine, the U.S. healthcare system allocates nearly a third of its resources—amounting to $750 billion annually—on unnecessary services and inefficient care. How can we address one of the most significant challenges facing the healthcare industry? In this article, we will explore how the integration of data and artificial intelligence can provide effective solutions. Healthcare Data: The Power of Information Before we move on to AI, let’s start with the key…

Image by Editor   # Introduction  Seaborn is a statistical visualization library for Python that sits on top of Matplotlib. It gives you clean defaults, tight integration with Pandas DataFrames, and high-level functions that reduce boilerplate. If you already know Matplotlib and want faster, more informative plots, this guide is for you. The focus here is intermediate to advanced usage. You will work with relational, categorical, distribution, and regression plots, then move into grid layouts and matrix visuals that answer real analytical questions. Expect short code blocks, precise explanations, and practical parameter choices that affect readability and accuracy. What this guide…

Google just introduced its new agent-based web browser from Google DeepMind, powered by Gemini 2.5 Pro. Built on the Gemini API, it can “see” and interact with web and app interfaces: clicking, typing, and scrolling just like a human. This new AI web automation model bridges the gap between understanding and action. In this article, we’ll explore the key features of Gemini Computer Use, its capabilities, and how to integrate it into your agentic AI workflows. What is Gemini 2.5 Computer Use?  Gemini 2.5 Computer Use is an AI assistant that can control a browser using natural language. You describe a goal, and it performs the steps needed to complete…

Introduction I have been looking for a list of AutoML solutions and a way to compare them, but I haven’t been able to find it. So I thought I might as well compile that list for others to use. If you are not familiar with AutoML read this post for a quick introduction and pros and cons. I haven’t been able to test them all and make a proper review, so this is just a comparison based on features. I tried to pick the features that felt most important to me, but it might not be the most important for you. If…

Innovation is the cornerstone of modern business success. With various methodologies available, choosing the right one can be challenging. This article cuts through the confusion, offering a comprehensive comparison of three leading innovation frameworks: Design Sprint, Design Thinking, and Lean Startup. We’ll explore the unique strengths and applications of each methodology, equipping you with the knowledge to choose the right tool for your specific challenges. Through a detailed comparison table and real-world case studies, you’ll gain actionable insights into how these approaches can be leveraged to drive innovation in various contexts, from startups to established enterprises. Whether you’re a seasoned…

Image by Ideogram   # Introduction  When you hear the word data science, you probably think of two words: programming and statistics. In fact, the prerequisite of learning statistics often discourages people from pursuing a career in data. It doesn’t help that most data science job descriptions make it seem like you need a PhD in statistics to thrive in the role, when the reality is entirely different. In a majority of data science positions, especially in tech companies focused on product development, you need to know applied statistics. This involves using existing statistical frameworks to solve business problems. This is…

I’ve been using n8n for quite a while now, building all kinds of automation workflows: some simple, some pretty complex. But after OpenAI announced AgentKit, and especially their new Agent Builder tool, I couldn’t help but check it out. It’s been getting a lot of buzz lately, and honestly, it looks like it could shake up the entire automation space. In this blog, I’ll walk through what AgentKit actually is, try out Agent Builder, and see how it stacks up against n8n. What is AgentKit?  OpenAI’s AgentKit is a new suite of tools built to help developers and teams create,…

Being data-driven is usually used and understood with positive connotations but when I hear the word used I get a little anxious about the “data-driven” decisions that might be about to happen. Let me explain why.According to Wikipedia data-driven means “The adjective data-driven means that progress in an activity is compelled by data, rather than by intuition or by personal experience.” In other words – Look at the data as a primary source of information to act on. When the data gives you a reason to act, you act. It might at a glance seem like a very sound way…