Browsing: Business & Startups

1. Transfer LearningTransfer learning is used a lot in machine learning now since the benefits are big. The general idea is simple. You train a big neural network for purposes with a lot of data and a lot of training. When you then have a specific problem you sort of “cut the end off” the big network and train a few new layers with your own data. The big network already understands a lot of general patterns that you with transfer learning don’t have to teach the network this time. A good example is if you try to train a network…

Recent insights from Gartner have revealed a sobering reality in the world of artificial intelligence: a staggering 85% of AI projects fail to meet their objectives, and only slightly more than half successfully transition from prototype to production. These statistics underscore a critical challenge facing organizations today—how can they navigate the complexities of AI implementation to ensure success? This article delves into the primary causes behind these failures and provides actionable strategies that your organization can adopt to avoid common pitfalls. Drawing from extensive discussions with AI experts and our experience working with customers, we have distilled essential insights and…

Image by Author   # Introduction  If you’ve used LLMs for different tasks, you’ve probably noticed that the response often depends on how you write the prompt. This is what we call prompt engineering. The way you give instructions can be the difference between a vague reply and a precise, actionable answer. I know prompt engineering can feel a little tricky at times. It’s not just pure science; it’s a mix of science and art, which means you have to experiment to see what works best for each situation. Don’t worry — I’ve got you covered in this article. We’ll go…

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…