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The retail industry is changing quickly. Technology is sweeping through the sector, with computer vision applications in retail offering a proven way to enhance the customer experience and boost sales.  That said, the RIS 29th Annual Retail Technology Study: Retail Accelerates shows how just 3% of retailers currently use computer vision, although over 40% plan to implement it within three years. This post looks at how AI and computer vision will help transform the retail industry, perhaps sooner than most people realize. What is computer vision? Computer vision is a field of artificial intelligence (AI) focused on enabling machines to…

Image by Author   # Introduction  When you think about data cleaning, you probably think of spinning up a Jupyter Notebook. But here’s something that might surprise you: some of the most powerful data cleaning can happen right in your terminal, using tools that are already installed on your system. In this article, you will learn how to use basic command-line utilities to clean, transform, and explore data files. No installations are required; just your terminal and some CSV files. Before we get started cleaning data at the command line, let’s talk about why this matters: Command-line tools are easy to…

Humans have a knack for finding novel uses for anything popular. With AI now in the headlines in publications the world over, it wasn’t long before humans would find a weird way of using it. And lo and behold, a host of AI tools have now come up that go from strange to “well, that’s just about the weirdest thing I’ve ever heard.” Here, let me list down some of the AI tools that rank the highest in this “weird-o-meter.” Buckle up, as this is not your ordinary list that you can just walk through and try your hand at…

September might just go down in DLabs.AI folklore. We ran the Hackuna Matathon 2021: an internal hackathon linked to our team-building meeting. So — if you want to learn: What we did Where we went What we worked on Who won You’ll find the answers right here. This is a lighter read, we hope you enjoy it 🙂 The hackathon Most of the DLabs.AI team works remotely. While that’s great in many ways, the setup does limit how many contacts we have with one another. In fact, the only chance to see colleagues is often on screen. Fortunately, some generous…

Image by Author   # Introduction  The technical screening for data science roles in FAANG companies is very thorough. However, even they can’t come up with an endless stream of unique interview questions. Once you’ve gone through the grind enough times, you start to notice that some SQL patterns keep showing up. Here are the top 5, with examples and code (PostgreSQL) for practice.  Image by Author | Napkin AI   Master these and you’ll be ready for most SQL interviews.   # Pattern #1: Aggregating Data with GROUP BY  Using aggregate functions with GROUP BY allows you to aggregate metrics across…

Gemini 3 is out, and is already taking the world by storm. You might be wondering: How does it fare to the best models in the world right now? And one name particularly comes to mind – GPT 5.1.  And that’s where the comparison gets interesting. These two don’t just compete on raw model power. They take completely different routes to get there. Gemini 3 pushes hard on native multimodality and deep integration across Google’s ecosystem. GPT 5.1 focuses on steady reasoning, long-context performance and polished day-to-day usability. Do they live up to the hype, and which one actually matters…

When Amazon introduced ‘1-click’ in 1997, retailers trembled.  The innovation gave customers a way to purchase anything from the eCommerce store with just one click. And the feature soon set the standard for buying anything online.  Fast forward to today, and expectations have shifted again. Consumers now think that retailers should know what they want, often before they realize it themselves. Sometimes, this takes the form of ‘people also bought’ recommendations.  But even these require the consumer to click ‘Add to basket.’ The next genuine innovation lies in something called zero-click buying. Which, thanks to artificial intelligence, is closer to…

Image by Author   # Introduction  Most people who use artificial intelligence (AI) coding assistants today rely on cloud-based tools like Claude Code, GitHub Copilot, Cursor, and others. They are powerful, no doubt. But there is one huge trade-off hiding in plain sight: your code has to be sent to someone else’s servers in order for these tools to work. That means every function, every application programming interface (API) key, every internal architecture choice is being transmitted to Anthropic, OpenAI, or another provider before you get your answer back. And even if they promise privacy, many teams simply cannot take that…

Retrieval-Augmented Generation is changing the way LLMs tap into external knowledge. The problem is that a lot of developers misunderstand what RAG actually does. They focus on the document sitting in the vector store and assume the magic begins and ends with retrieving it. But indexing and retrieval aren’t the same thing at all. Indexing is about how you choose to represent knowledge. Retrieval is about what parts of that knowledge the model gets to see. Once you recognize that gap, the whole picture shifts. You start to realize how much control you actually have over the model’s reasoning, speed,…

According to the IDF Diabetes Atlas Report, there are over 537 million adults with diabetes worldwide.  And that number is only rising. By 2045, forecasts suggest some 784 million adults will have the illness. That said, there’s nothing to stop them from living a normal life. Diabetics just have to factor in one consideration: monitoring their health on a daily basis. Thankfully, we now live in an age where technology makes our lives infinitely easier. And there are plenty of applications to help with nearly anything you can imagine.  This article will focus on the ten best applications that people…