Browsing: Business & Startups

Image by Author   # Introduction  Exploratory data analysis (EDA) is a key phase of any data project. It ensures data quality, generates insights, and provides an opportunity to discover defects in the data before you start modeling. But let’s be real: manual EDA is often slow, repetitive, and error-prone. Writing the same plots, checks, or summary functions repeatedly can cause time and attention to leak like a colander. Fortunately, the current suite of automated EDA tools in the Python ecosystem allows for shortcuts on much of the work. By adopting an efficient approach, you can get 80% of the insight…

What if an application could deliver personalized intelligence to customers, without ever seeing their data? For product developers, the skill of operating in a world of rising data privacy demands is a must-have today. As organizations shift from traditional analytics to embedded intelligence, the need for highly secure and scalable applications has become mission-critical. Snowflake Native Apps Framework is not just another product; it marks a paradigm shift in how we build and distribute data products. It challenges the status quo that every software must control the data it interacts with. Instead, it flips the model; your app not only…

Collecting data is for many AI projects without a doubt the most expensive part of the project. Labelling data like images and text pieces is hard and tedious work without much possibility of scaling. If an AI project requires continuously updated or fresh data then this can be a high cost that can challenge the whole business case of an otherwise great project.There are a few strategies though to lower the costs of labelling data. I have previously written about Active Learning; a data collection strategy that focuses on prioritizing the labelling of the most crucial data first given the…

Do you recognize the transformative potential of AI and wish to harness its power within your healthcare organization, but find that your stakeholders are hesitant or skeptical? You’re not alone. Many leaders face similar challenges, but the good news is that there are effective strategies to overcome them. This guide outlines clear and effective methods for communicating the value of AI initiatives. With these strategies, you can transform skepticism into enthusiastic commitment and drive actionable support for your proposals. 1. Provide a Comprehensive Market Overview Using Data Start with a robust market analysis detailing potential customers and the competitive landscape.…

Image by Author   # Introduction  Although in modern data science you will mainly find Jupyter notebooks, Pandas, and graphical dashboards, they don’t always give you the level of control you might need. On the other hand, command-line tools may not be as intuitive as you wish, but they are powerful, lightweight, and much faster at executing the specific jobs they are designed for. For this article, I’ve tried to create a balance between utility, maturity, and power. You’ll find some classics that are nearly unavoidable, along with more modern additions that fill gaps or optimize performance. You can even call…

The use of the term “AI Agent” has increased by 10x in the last 1 year, as per data from Google Trends. This surge reflects a broader shift: people and organizations increasingly want AI Systems that not only answer questions, but also take actions on their behalf. From simplifying mundane tasks to streamlining business operations, the promise of Agentic AI is capturing global attention. Trend for AI Agent over time (Image: Google Trends) So, what does this really mean in practice? Let’s start with a relatable scenario of how AI Agents can transform everyday tasks in the near future. Imagine…

There’s no definitive or academically correct definition of artificial intelligence. The common ones usually define AI as computer models that perform tasks in a human like manner and simulate intelligent behaviour. The truth is that for each expert on the field of AI you ask about the definition, you will get some new variation of the definition. In some cases you might even get a very religious schooling on how it’s only AI if the system contains deep learning models. Do you ask many startup founders if their systems contain AI even though it’s just a very simple regression algorithm like…

In today’s fast-paced sales environment, staying ahead of the curve isn’t just an option; it’s a necessity. The latest data from HubSpot reveals a compelling trend: a whopping 80% of sales professionals are turning to AI and automation tools to escape the drudgery of manual tasks such as data entry and meeting scheduling. This significant shift not only enhances efficiency but also frees up precious time, allowing teams to focus on what truly drives revenue—engaging directly with customers. Moreover, 60% of sales experts now consider AI tools a fundamental component of their overall strategy, highlighting the critical role these technologies…

Image by Author   # Introduction  There are numerous tools for processing datasets today. They all claim — of course they do — that they’re the best and the right choice for you. But are they? There are two main requirements these tools should satisfy: they should easily perform everyday data analysis operations and do so quickly, even under the pressure of large datasets. To determine the best tool among DuckDB, SQLite, and Pandas, we tested them under these conditions. First, we gave them only everyday analytical tasks: summing values, grouping by categories, filtering with conditions, and multi-field aggregations. This reflected…

10 mins.. That’s it. All it takes is 10 minutes for your Zepto order to reach you as soon as you place the order. In a world where it takes more than 3 minutes to cook so-called “instant” noodles and more than 15 minutes for ChatGPT to generate a Ghibli, Zepto is reaching your doorstep with all your deliverables in mere 600 seconds! The science behind its success is “Data Science”. Zepto has optimised every step of the process using machine learning and data analytics. In this blog, we will explore how Zepto has integrated a data-centric approach across all…