AI and ML developers often work with local datasets in data pre-processing. Technical features and prototyping make this easy without the overhead of an entire server. The most common comparison is between SQLite, a serverless database released in 2000 and widely used for lightweight transactions, and DuckDB, introduced in 2019 as the SQLite of analytics, … Read more

Platforms that offer the most diverse research data sets are changing the way data scientists and business intelligence teams approach discovery and forecasting. By unifying publications and clinical trials into one environment, these platforms help eliminate silos and accelerate decision-making. With many tools claiming to offer cutting-edge research access, it’s not always clear which platform … Read more

The field of data and artificial intelligence is moving at breakneck speed. As organizations move from experimental generative AI pilots to full-scale production, the demand for proven AI expertise has never been higher. In a survey of the World Economic Forum92% of executives highlighted a dual problem: 1) Overcapacity in senior roles and 2) an … Read more

This article explores how startup Permutable AI is developing macro intelligence for complex global markets by turning fast-moving stories into structured data and decision-ready insights. It explains why traditional market instruments struggle with today’s policy divergence, geopolitics and information overload, and how sentiment regimes and entity-related context can help institutional investors, macro departments and commodity … Read more

Amazon SageMaker announced a new feature that you can use to add custom tags to resources created through an Amazon SageMaker Unified Studio project. This will help you enforce labeling standards that align with your organization’s Service Control Principles (SCPs) and help enable resource cost tracking practices established across the organization. As a SageMaker administrator, … Read more

Something we’ve written about a lot at Smart Data Collective is how data analytics supports effective stock trading strategies. It is a topic that connects market behavior, trader decision-making and the growing role of structured data in financial choices. You may have already noticed that traders rely on numbers, patterns and signals to guide decisions … Read more

Learning Python in the beginning is seemingly simple. You write a few lines, the code runs, and it’s tempting to think you’ve got it. Then you try to build something yourself and… nothing works!? It turns out that all the information you learned didn’t find an outlet. That’s the place challenging projects mass. Not flashy. … Read more

Getting text in a messy PDF file is more trouble than helpful. The problem is not in the ability to transform pixels to text, but rather in preserving the structure of the document. Tables, headings and figures should be in the correct order. Using Mistral OCR 3 is no longer about converting text, but about … Read more

Effective management and scaling of data flows is a cornerstone of success for many organizations. Apache Kafka is a leading real-time data streaming platform that offers unmatched scalability and reliability. However, setting up and scaling Kafka clusters can be challenging and require significant time, expertise, and resources. Amazon Managed Streaming for Apache Kafka (MSK) helps … Read more