Browsing: Business & Startups

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…

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…