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By the middle of 2026, we can easily assume on thing about AI – it is far from the experimental stage. If not before, 2026 is the year when AI is moving deeper into products, workplaces, governments, and everyday decision-making. This shift is visible in the massive AI conferences that are now being held by every major decision maker across the globe. The India AI Impact Summit 2026, held earlier this year in New Delhi, was a shining example of this. The event brought together global leaders, innovators, researchers, and policymakers to shape the next phase of AI-led growth. And…

  # Introduction  Production data is typically subject to notable privacy and compliance constraints. For this reason, anonymizing such data becomes critical in virtually every real-world data science project involving the launch of a data-driven product, service, or solution. Mimesis is an open-source Python library that stands out for its ability to generate realistic “fake” data in a high-performance fashion. Mimesis runs locally and provides a free, robust data pipeline solution. This article will show you how to utilize this library for anonymizing sensitive production data, based on a step-by-step example you can easily try in your IDE or a notebook…

Google Gemini’s next-generation family offering: Gemini 3.5 is here!  Gemini 3.5 Flash combines frontier intelligence with real-world action and supports high-speed agentic workflows, coding, and multimodal reasoning while maintaining the low latency expected from the Flash series. With Gemini 3.5 Pro, slated to be released in the next month, let’s take a look at the flash model and what it brings to the table. What is Gemini 3.5 Flash? Positioned as a model built for practical execution rather than just conversation, Gemini 3.5 Flash emphasizes long-horizon task handling, collaborative subagents, richer UI generation, and large-scale workflow automation across both developer…

  # Introduction to Claude Cowork  Most people who use Claude like a smarter search engine. Type something in, read the response, copy it somewhere useful, then come back and do it again. That loop works fine for quick questions. It does not work for the kind of deep, file-heavy, multi-step knowledge work that actually takes up most of a professional’s day. Cowork is built for that second category. It is not a new chat interface. It is an autonomous agent that lives inside the Claude Desktop app, has direct access to a folder on your computer, and can plan, execute,…

AI agents are evolving from answering questions to taking actions inside browsers. They can now open pages, click buttons, fill forms, extract data, and automate multi step workflows across websites. Moonshot AI’s Kimi WebBridge brings this capability to Chrome and Edge, allowing local AI agents to safely interact with real browser sessions. In this article, we explore how WebBridge works and why browser automation is becoming essential for agentic AI systems. What is Kimi WebBridge? Kimi WebBridge is an AI agent browser extension. WebBridge is not a cloud-based browser automation solution that launches a browser remote, but rather it runs…

Data shows that 88% of university administrators agree their institution must invest in analytics to stay competitive. Yet only 40% say they can effectively act on their data. The gap isn’t about technology or talent. It’s about who can actually get to the data when they need it. So, how to fix that? This article breaks down the most common reasons universities struggle to act on their own data, outlines four practices that actually work, and shares what we learned building an AI analytics system for a US university. Read on to find out how questions that used to take…

  # Introduction  Data engineering has never been more demanding. Pipelines are expected to be faster, more reliable, and easier to maintain — all while the volume and variety of data keeps growing. Most data engineers have their go-to stack, but the Python ecosystem has expanded well beyond the usual suspects, and some of the most useful tools for the job are still flying under the radar. In this article, we’ll walk through Python libraries organized around four areas that eat up the most time in data engineering work: Pipeline orchestration and workflow management for building reliable, observable data flows Data…

In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in the crowd then you should know advanced features like window functions that can unlock multiple capabilities for complex data transformations and insights. In this article, you will learn about those advanced SQL window functions that you be aware of and how to use them in your project. Difference between Window Functions and Regular Aggregate Functions Regular aggregate…

  # SQL + Python Just Isn’t Enough  For years, the formula seemed simple: learn SQL + learn Python = get a data job. Especially as mid-sized companies started becoming “data-driven.” Hiring managers were happy they could get anyone who could write a half-decent GROUP BY and wrangle a pandas DataFrame without breaking something. You know what PostgreSQL is? Get in, you got the job! This worked for some time. Until it didn’t. If you haven’t noticed, the data professional’s job market has undergone a structural shift. Yes, SQL and Python are still important; they’re on every job description. But they’ve…

AI research in 2025 was defined by major shifts. The industry moved beyond chatbots and into reasoning systems, autonomous agent and multimodal systems. Last year, companies like Google DeepMind, OpenAI, Anthropic, Meta, DeepSeek, and NVIDIA pushed AI research into new territory with papers focused on reasoning, coding agents, reinforcement learning, and scalable safety systems. Here are the top AI research papers of 2025 that every AI researcher, ML engineer, and GenAI builder should know. Top 10 AI Research Papers The papers below were selected based on technical novelty, industry influence and impact within the global AI community throughout 2025. 1.…