Top 15 APIs and Data Sources for AI & Machine Learning in 2026
**TL;DR** Building a machine learning model is no longer the hardest part. Getting high-quality, scalable, and reliable data is. This guide covers the top 15 APIs and data sources used in 2026 for AI and machine learning projects. From open repositories and academic datasets to enterprise-grade web data pipelines, these sources power real-world AI systems […]
Read MoreBig Data Is Changing Enterprise Information Technology
**TL;DR** Big data in enterprises has grown from a buzzword into a real force shaping how IT teams operate. But the shift is not just about volume. It is about how organizations collect, store, evaluate, and apply data in daily decision making. Big data brings powerful opportunities for analytics, automation, and predictive intelligence, but it […]
Read MoreServing the Future of Web Data Collection with Data as a Service
**TL;DR** Web crawling sounds simple on the surface. A bot goes from page to page, collects information, and indexes it. But in real life, crawling is full of friction. Websites block crawlers, HTML structures are messy, server loads spike, legal rules are unclear, and many pages simply aren’t built for automation. These challenges are exactly […]
Read MoreThe Pros and Cons of Various Data Delivery File Formats
**TL;DR** When it comes to data delivery, the format you choose is not just a technical detail — it’s the bridge between insight and execution. A CSV might get your data there fast, but a Parquet file will keep it lean and scalable. XML can describe every layer of structure, while JSON handles nested data […]
Read MoreKinds of Alternate Data For Hedge Funds
**TL;DR** Hedge funds now depend on alternate data because traditional sources like earnings reports and market feeds no longer offer enough of an edge. Alternate data captures real world behaviour long before it shows up in financial statements. Web traffic, reviews, job postings, credit card trends, OTA patterns, supply chain signals, and real estate activity […]
Read MoreShopify Data Scraping & Visualization: Turning Raw Store Data into Actionable Insights
If you run a Shopify store, you already know how much is going on at once — new products going live, orders coming in, customers asking questions, ads running in the background, and a hundred other things demanding attention. But here’s something many store owners miss: all that activity is producing a mountain of valuable […]
Read MoreData Aggregation at Scale: How Web Crawling Software Powers AI & Big Data Projects
AI and big data projects rely on vast amounts of high-quality, structured data to function effectively. Whether it’s for predictive analytics, machine learning training, or real-time business intelligence, data aggregation at scale is critical. However, manual data collection is impractical, and traditional APIs often provide limited access to real-world data. This is where web crawling […]
Read MoreOpen Data Sources: How to Leverage Publicly Available Data for Strategic Insights
Obtaining data isn’t always as easy as it seems. A lot of businesses depend on proprietary data that comes at an unreasonable cost, but what if you could gain valuable insights without spending a fortune? This is where open data sources come in. The relevance of openly sourced data has increased tremendously. According to the […]
Read MoreSocial Media Data: How Businesses Can Leverage PromptCloud for Growth
Have you ever thought about how Instagram manages to predict what you want to see in your feed? The platform uses algorithms that predict users’ behavior and take thousands of data points every second. Not just Instagram –X, Facebook, and LinkedIn have also started improving AI personalized algorithms, but, as helpful as they are, a […]
Read MoreWeb Scraper API: Effortlessly Automate Your Data Collection Needs
Data is the most valuable asset in today’s world and everyone is well aware of it. This sentiment holds, whether you are working as an analyst, developer, or are a part of a marketing team. However, the process of obtaining and analyzing data can be very exhaustive, to say the least. The manual method of […]
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