Tag: Data and analytics
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Apache Airflow for MLOPS and ETL - Description, benefits and examples
Posted on July 24, 2025, Level intermediate Resource Length long
Apache Airflow is a leading open-source tool for workflow orchestration, designed to manage complex tasks in Python. Developed by Airbnb and now part of the Apache Software Foundation, it's widely adopted for its flexibility and scalability in data engineering workflows. By Rost Glukhov.
Tags data-and-analytics cloud-and-infrastructure
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How to develop a RAG system using Node.js
Posted on July 20, 2025, Level beginner Resource Length medium
In this blog post, we'll build a simplified but powerful RAG system using Node.js and OpenAI's GPT model, perfect for developers curious to bridge the gap between raw LLM power and domain-specific intelligence. By Deep Panchal.
Tags backend-development product-and-design frontend-and-mobile data-and-analytics
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Linux surpasses 5% market share on US desktops for the first time
Posted on July 19, 2025, Level beginner Resource Length short
The rise in Linux desktop market share is significant, representing an evolving landscape for operating system technologies. This necessitates strategic considerations around platform support, security hardening, and potential integration opportunities. Understanding the drivers of this shift (privacy, open-source ethos, hardware compatibility) informs our long-term technology roadmap and investment decisions regarding containerization, virtualization, and cloud-native architectures. The increasing reliance on Linux-based systems also influences developer toolchains and deployment strategies. By Skye Jacobs.
Tags miscellaneous cloud-and-infrastructure leadership-and-career data-and-analytics
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Anonymize RAG data in IBM Granite and Ollama using HCP Vault
Posted on June 24, 2025, Level beginner Resource Length long
This article explores using HCP Vault to anonymize sensitive data in retrieval augmented generation (RAG) workflows with IBM Granite and Ollama. It addresses the risk of large language models (LLMs) leaking personal identifiable information (PII) by employing Vault's transform secrets engine for data masking and tokenization. By Rosemary Wang.
Tags cloud-and-infrastructure ai-and-machine-learning miscellaneous leadership-and-career data-and-analytics
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Evogene and Google Cloud unveil foundation model for generative molecule design
Posted on June 18, 2025, Level beginner Resource Length long
Evogene and Google Cloud are accelerating life science discovery with ChemPass AI, a generative AI foundation model focused on small-molecule design. Launched in May, this collaboration dramatically reduces the time and cost associated with identifying novel drug candidates and crop protection agents. ChemPass AI's core strength lies in its ability to simultaneously optimize multiple critical properties – potency, toxicity, stability, and bioavailability – within a single molecule generation cycle, surpassing previous approaches. By Antoine Tardif.
Tags cloud-and-infrastructure data-and-analytics
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Choosing between EventBridge, SNS, and SQS for event-driven patterns
Posted on June 12, 2025, Level intermediate Resource Length long
AWS offers multiple services for decoupling business domains in event-driven patterns. The three main ones are EventBridge, SNS, and SQS. Use EventBridge for targeted content-based routing when you need to match complex rules. By Arpad Toth.
Tags cloud-and-infrastructure product-and-design frontend-and-mobile data-and-analytics architecture-and-apis
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Anonymize RAG data in IBM Granite and Ollama using HCP Vault
Posted on June 8, 2025, Level beginner Resource Length long
In this summary, we explore how IBM Granite and Ollama can be integrated with HCP Vault to handle sensitive data effectively. The method involves configuring vaults to mask or tokenize data before passing it to the LLMs, ensuring that personal identifiable information (PII) is protected. By Rosemary Wang.
Tags cloud-and-infrastructure data-and-analytics ai-and-machine-learning devops-and-ci-cd
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Introducing KBLaM: Bringing plug-and-play external knowledge to LLMs
Posted on May 20, 2025, Level beginner Resource Length medium
Large language models (LLMs) have demonstrated remarkable capabilities in reasoning, language understanding, and even creative tasks. Yet, a key challenge persists: how to efficiently integrate external knowledge. By Taketomo Isazawa.
Tags cloud-and-infrastructure ai-and-machine-learning leadership-and-career data-and-analytics
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Retrieval Augmented Generation (RAG) tutorial for beginners
Posted on May 9, 2025, Level beginner Resource Length medium
Retrieval-augmented Generation (RAG) is an AI approach that improves machine understanding and response accuracy. By integrating traditional AI language models with real-time retrieval of relevant external data, RAG bridges knowledge gaps, enabling more precise and contextually rich answers. By Vidhi Gupta.
Tags ai-and-machine-learning data-and-analytics leadership-and-career
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Learnings from a machine learning engineer — data
Posted on May 5, 2025, Level beginner Resource Length long
Practical insights for a data-driven approach to model optimization. By David Martin.
Tags ai-and-machine-learning data-and-analytics how-to leadership-and-career
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Raspberry Pi AI camera explained: What it is & how to use it
Posted on April 24, 2025, Level beginner Resource Length long
The Raspberry AI Camera is a high-resolution visual sensor with a neural processing unit (NPU). This hardware makes it perfect for AI vision capabilities—such as object detection, pose estimation, and semantic segmentation—and lets it process images/videos on-device. By Thomas Dyan.
Tags data-and-analytics ai-and-machine-learning business-and-emerging-tech backend-development
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How gen AI is helping drive vehicle autonomy
Posted on April 12, 2025, Level beginner Resource Length long
AI can be a key enabler in overcoming technological hurdles to vehicle autonomy by generating synthetic datasets, for example. Collaboration within the autonomous vehicle industry is key to harnessing the potential of gen AI, while addressing associated risks. By Maria Alonso, Alex Koster and Paul Jordan.
Tags ai-and-machine-learning miscellaneous data-and-analytics business-and-emerging-tech