Browsing: Business & Startups

In the modern world, machines are significantly reducing the time needed to perform particular tasks. But that’s not all they’re doing. They’re actively creating the future of automation in what’s known as Robotic Process Automation 2.0. In this article, we’ll focus on this concept: explaining the term and sharing an example of how we’ve used the technology at DLabs.AI. Happy reading! The RPA market is currently valued at USD 1.1 Billion and is anticipated to see a CAGR of 33.6% from 2020 to 2027.  Source: Grand View Research What is Robotic Process Automation (RPA)? Before we get to RPA 2.0,…

Read More

Image by Author   # Introduction  Automation can benefit professionals across various fields, including project managers, analysts, and solo founders. We all face repetitive digital tasks that consume our time, such as gathering data from the web, cleaning and standardizing it, updating spreadsheets, and creating clear, actionable reports.  In this article, we will explore five powerful yet user-friendly workflow automation tools. With features like drag-and-drop nodes, prebuilt connectors, and guided templates, you can easily create end-to-end workflows without the need for extensive engineering knowledge.    # 1. n8n  n8n is an open-source, AI-native workflow automation platform that empowers users to build complex…

Read More

Every few months, the AI world reshuffles its deck, and as we stand at the end of 2025, we already have a brand-new leaderboard. Models are getting sharper, faster, and strangely more “human,” making it harder for developers to ignore how much these systems now shape modern web experiences. So instead of guessing which models actually matter, let’s break it down. In this guide, we explore the top AI models that have defined web development in 2025. These models power smarter backends, generate cleaner frontends, and handle everything from UX experience to full-stack automation. So, whether you build products, write…

Read More

Modern banks sit among the largest users and beneficiaries of artificial intelligence. Most have spent recent years developing powerful capabilities such as credit scoring systems, automated loans, and more. And they continue to invest heavily in data-driven AI-based solutions. Why the focus? Because banks appreciate that technology is the future of the sector. In this article, we’ll present the three most important AI solutions every commercial bank needs to remain competitive and attractive. “The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023.” — Business Insider 1. Make Accurate Product Recommendations There’s no…

Read More

Image by Author   # Introduction  We have all spent hours debugging a model, only to discover that it wasn’t the algorithm but a wrong null value manipulating your results in row 47,832. Kaggle competitions give the impression that data is produced as clean, well-labeled CSVs with no class imbalance issues, but in reality, that is not the case. In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.   # NoBroker Data Project: A Hands-On Test of Real-World Chaos  NoBroker is an Indian property technology (prop-tech) company that connects…

Read More

This is the second update to OpenAI’s flagship model in just a month. The GPT-5.1 release landed in the latter half of November and already showed strong improvements in coding and complex reasoning tasks. Now, with GPT-5.2, OpenAI claims another step forward. This time the focus is broader. The model is positioned as better at creating spreadsheets, building presentations, writing production-ready code, understanding images, handling very long contexts, using tools reliably, and executing complex, multi-step projects end to end. That is a big promise. So instead of repeating the announcement, this article looks at what actually changed, how GPT-5.2 compares…

Read More

‘AI is the future’ — a claim we recently made dedicated to outsourcing AI development. No matter your industry, it’s a viewpoint that’s hard to disagree with because AI is improving nearly every aspect of life, none more so than business. And one of the areas on which AI has had the most profound impact is productivity. If you’re wondering how AI boosts productivity in the workplace (and whether it’s threatening our jobs as a result), we suggest you read on. Future of AI in the workplace – studies and predictions Let’s start with the numbers. According to a McKinsey…

Read More

Image by Author   # Introduction  Large language models (LLMs) have changed how we use artificial intelligence (AI), but trying them often requires paid APIs, cloud servers, or complicated setups. Now, you can test and run LLMs right in your browser for free. These browser-based tools let you run models locally, compare results, and even create autonomous agents without any backend setup or server costs. Here are five tools to check out if you want to test prompts, prototype AI features, or just explore how modern LLMs work.   # 1. WebLLM  WebLLM is an open-source engine that runs LLMs inside your…

Read More

Most AI projects start with one annoying chore: cleaning messy files. PDFs, Word docs, PPTs, images, audio, and spreadsheets all need to be converted into clean text before they become useful. Microsoft’s MarkItDown finally fixes this problem. In this guide, I will show you how to install it, convert every major file type to Markdown, run OCR on images, transcribe audio, extract content from ZIPs, and build cleaner pipelines for your LLM workflows with only a few lines of code. Why MarkItDown Matters? Before we jump into the hands-on examples, it helps to understand how MarkItDown actually converts different files…

Read More

Natural Language Processing (NLP) is one of the most important components of artificial intelligence. And companies across the world are investing more and more in NLP-based solutions. Why so? Because they can see the business potential. If you doubt the technology can benefit your organization, let’s see if we can change your mind. Here’s a collection of seven reasons businesses invest in Natural Language Processing: check them out and tell us if they alter your perspective. If you want to find out what NLP is, how it works, as well as popular ways of using this technology in business, I…

Read More